System

Abstract

A system is provided.SOLUTION: A system, comprising: means for obtaining a face image of a person input by a user; means for sending the obtained face image to a server; means for the server to analyze the face image and match it with face information stored in a database; means for the server to search for historical interaction information about the matching person and send the information from the server to the user's terminal; and means for displaying the received historical interaction information at the user's terminal.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] In an aging society, the number of senior workers is increasing, but this is also resulting in declining memory and an increased burden of clerical work. This can lead to problems in business environments due to information being overlooked or forgotten during meetings. Furthermore, in situations where efficient information management is required, it is necessary to be able to search and obtain the necessary information instantly. By solving these issues, we aim to reduce concerns about memory, improve work efficiency, and improve business performance. [Means for solving the problem]

[0005] The present invention is a system including a means for acquiring a facial image of a person input by a user, a means for transmitting the acquired facial image to a server, a means by which the server analyzes the facial image and compares it with facial information stored in a database, a means by which the server searches for past interaction information about the matching person and transmits that information from the server to the user's terminal, and a means for displaying the past interaction information received on the user's terminal.

[0006] The system also includes a means for a user to scan new business card information with the smart glasses and send the business card image to a server, a means for the server to extract the business card information from the business card image and store it in a database, and a means for linking the business card information with facial information. It also includes a means for a user to request additional information by voice command or via a touch panel, a means for the terminal to send a request for additional information to the server, a means for the server to search for the requested additional information and send it to the terminal, and a means for the terminal to display the additional information in real time, thereby preventing information from being overlooked or forgotten and supporting business efficiently.

[0007] A "user" is an entity that uses the system to obtain customer information and conduct business negotiations and meetings.

[0008] A "terminal" is a device such as smart glasses worn by a user, which acquires facial images and displays information.

[0009] A "server" is a computer system that analyzes and collates facial images and business card information and manages the information stored in a database.

[0010] A "face image" is image data of a customer's face acquired by a user's terminal.

[0011] "Matching" is the process of comparing the captured facial image with facial information stored in an existing database to confirm whether it matches.

[0012] A "database" is a data storage system for centrally managing customer facial information, business card information, and past interactions.

[0013] "Interaction information" refers to information such as the content of past business negotiations with a customer and contact history.

[0014] A "business card image" is image data of a customer's business card that is scanned by a user.

[0015] "OCR (Optical Character Recognition)" is a technology that extracts character information from image data.

[0016] A "voice command" is an input method that allows a user to give instructions to a system by voice.

[0017] A "touch panel" is an interface that allows a user to input information into a system by touching it with their fingers.

[0018] "Real-time" refers to the property that information is processed immediately and provided to the user without delay. [Brief explanation of the drawings]

[0019] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7]FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0020] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0021] First, the terms used in the following description will be explained.

[0022] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0023] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0024] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0025] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0026] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0027] [First embodiment]

[0028] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0029] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0030] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0031] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0032] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0033] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0034] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0035] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0036] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0037] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0038] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0039] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0040] This invention is a system that provides customer information and past interaction information in real time by linking smart glasses worn by users with a server. The "user" acquires a customer's facial image through the smart glasses, which is then sent to the server. The server analyzes the facial image and compares it with facial information stored in a database. If a match is found, the server searches for related interaction information and sends it to the user's smart glasses.

[0041] Program processing explanation

[0042] Acquiring and sending face images

[0043] The user wears the smart glasses and engages in business negotiations with customers. The device (smart glasses) captures the customer's facial image through a camera and sends the image to a server.

[0044] Facial image analysis and customer identification

[0045] The server analyzes the received facial image and compares it with facial information stored in a database. If a match is found, the server searches for related customer information and past interaction information. The search results are then sent from the server to the user's smart glasses.

[0046] Acquiring and linking business card information

[0047] For new customers, the user scans their business card with the smart glasses. The device sends the image to a server, which uses OCR technology to extract the card information. The extracted card information is stored in a database and linked to the customer's facial information.

[0048] Real-time information provision

[0049] Users can view past transaction information displayed on the smart glasses screen. If needed during a transaction, they can request additional information using voice commands or the touch panel. The device sends this request to the server, which then searches for the additional information and sends it back to the device. This allows users to access the information they need in real time.

[0050] Specific examples

[0051] For example, when a user meets with Customer X for a new business meeting, the user captures the face of Customer X through smart glasses. The facial image is sent from the device to the server, which then initiates the matching process. If there is no matching face information, the user scans Customer X's business card with the smart glasses, and the business card information is sent to the server. The server then uses OCR technology to extract the business card information and stores it in a database.

[0052] If the user has previously conducted business negotiations with Customer X, the facial image matching is successful, and the server searches for Customer X's past interaction information and sends it to the user's device. This information is displayed on the smart glasses' display, allowing the user to proceed with the conversation while checking the necessary background information during the negotiation. If additional information is needed, the user can request information search using voice commands. The information is then displayed on the smart glasses in real time, improving the efficiency of the negotiation.

[0053] This allows users to compensate for declining memory while achieving high business performance.

[0054] The processing flow will be explained below.

[0055] Step 1:

[0056] The user wears the smart glasses and captures the customer's face with the camera, and the device acquires the captured facial image data.

[0057] Step 2:

[0058] The device then sends the acquired facial image data to the server. At this time, the data is sent securely via data encryption and transfer protocols.

[0059] Step 3:

[0060] The server runs a facial recognition algorithm to analyze the received facial image data, specifically extracting facial features and matching them with an existing database.

[0061] Step 4:

[0062] The server compares the received facial image data with the facial information stored in the database to see if they match.

[0063] Step 5:

[0064] The server retrieves matching customer information from a database, which includes past interactions and business card information.

[0065] Step 6:

[0066] The server then sends the extracted customer information and past transaction information to the device, where the data is re-encrypted and transmitted securely.

[0067] Step 7:

[0068] The device displays the received customer information and past transaction information on the smart glasses display, allowing users to check the information in real time.

[0069] Step 8:

[0070] If the user needs more detailed information, they can request additional information via voice commands or the smart glasses' touch panel.

[0071] Step 9:

[0072] The device sends the user's request to the server, where the communication data is also encrypted and transmitted securely.

[0073] Step 10:

[0074] The server receives requests to retrieve additional information and re-searches the database, such as the status of a particular project or the contents of past emails.

[0075] Step 11:

[0076] The server sends the search results to the device, which displays them on the smart glasses display, allowing the user to access more detailed information.

[0077] Step 12:

[0078] After the business meeting is over, the user inputs the details of the meeting and important points into the smart glasses, which then transmits this information to the server.

[0079] Step 13:

[0080] The server stores the new business details in a database for future reference. In this way, all data is centrally managed and available for future use.

[0081] Example 1

[0082] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0083] In conventional business negotiations, it has been difficult to quickly and accurately obtain information about customers. Particularly when negotiating with new customers, the process of registering customer information in a database is cumbersome, making it difficult to obtain necessary information in real time during a negotiation. Furthermore, it is difficult to quickly refer to information about past interactions with customers, which reduces the efficiency of business negotiations.

[0084] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0085] In this invention, the server includes: means for acquiring a facial image of a person input by a user; means for transmitting the acquired facial image to the server; means for the server to analyze the facial image and compare it with facial information stored in a database; means for the server to search for past interaction information about the matching person and transmit the information from the server to the user's terminal; means for displaying the past interaction information received on the user's terminal; means for scanning business card information with smart glasses in the case of a new customer; means for transmitting the business card image to the server; means for the server to extract business card information from the business card image and link it to facial information; means for requesting additional information via voice commands during a business meeting; and means for searching for the additional information based on the request and displaying it in real time. This enables rapid acquisition of customer information, efficient registration of business card information, and real-time reference to necessary information.

[0086] A "user" is a person who uses this system to obtain customer information and conduct business negotiations.

[0087] "Terminal" refers to the smart glasses worn by the user and the accompanying devices, which are devices that capture facial images and display information.

[0088] A "server" is a computer system that analyzes facial images, collates data, and searches for and transmits information.

[0089] A "face image" is image data of a customer's face that a user captures using smart glasses during a business meeting.

[0090] A "database" is an information management system that stores customer information, facial information, business card information, and past transaction information.

[0091] "Business card information" refers to data such as the name, company name, job title, and contact information written on a customer's business card.

[0092] "OCR technology" is an abbreviation for optical character recognition technology, which is a technology that extracts text information from scanned business card images.

[0093] A "voice command" is an input means that allows a user to give instructions to a system using voice.

[0094] "Real-time information" is information that a user needs immediately during a business negotiation, and is data that is acquired and displayed on the spot.

[0095] "Customer information" refers to all data related to business negotiations, such as the customer's personal information, history of past interactions, and business card information.

[0096] The present invention is a system that provides customer information and past transaction information in real time by linking smart glasses worn by users with a server. This system is realized through the following steps.

[0097] System configuration

[0098] The system uses the following hardware and software:

[0099] Smart glasses (device)

[0100] server

[0101] Database

[0102] OCR software (e.g., Tesseract)

[0103] Image analysis software (e.g., OpenCV)

[0104] Program processing explanation

[0105] Acquiring and sending face images

[0106] The user wears the smart glasses and engages in business negotiations with customers. The device (smart glasses) captures the customer's facial image via a camera and sends the image to a server. This allows the user to take a photo of the customer's face without any stress.

[0107] Facial image analysis and customer identification

[0108] The server analyzes the received facial image and compares it with facial information stored in a database using image analysis software. If a match is found, the server retrieves related customer information and past interaction information and sends it to the user's smart glasses.

[0109] Acquiring and linking business card information

[0110] For new customers, the user scans their business card with the smart glasses. The device sends the image to the server, which then uses OCR technology to extract the card information. The extracted card information is stored in a database and linked to the customer's facial information.

[0111] Real-time information provision

[0112] Users can view past transaction information displayed on the smart glasses screen. If needed during a transaction, they can request additional information using voice commands or the touch panel. The device sends this request to the server, which then searches for the additional information and sends it back to the device. This allows users to access the information they need in real time.

[0113] Specific operation explanation

[0114] For example, when a user has a new business meeting with Customer X, the camera on the smart glasses automatically detects and captures the customer's face. The image is immediately sent to the server, which then initiates the facial recognition process. If there is no matching face information, the user can scan Customer X's business card with the smart glasses, and the business card information is sent to the server. The server then uses OCR technology to extract the business card information and store it in a database.

[0115] As the business negotiation progresses, if the user has previously conducted business negotiations with Customer X, the facial image matching will be successful, and the server will search for information on past interactions with Customer X and send it to the user's device. This information will be displayed on the smart glasses' display, allowing the user to proceed with the conversation while checking the necessary background information during the negotiation.

[0116] Prompt Sentence Examples

[0117] "Please explain the facial image matching system for displaying customer information in real time. Please include specific processing steps."

[0118] "Please explain in detail how the system works, which uses smart glasses to capture customer facial images, send them to a server, and retrieve past interaction information."

[0119] "Please provide a detailed explanation of the system, including the process of extracting business card information using OCR technology and storing it in a database."

[0120] The present invention allows users to compensate for declining memory and achieve high business performance, and also improve the efficiency of business negotiations.

[0121] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0122] Step 1:

[0123] Acquiring a face image

[0124] A user wears smart glasses and engages in business negotiations with a customer. When the user points the smart glasses at the customer's face, the camera on the device (smart glasses) captures an image of the customer's face. The input is the customer's facial image captured through the camera, and the output is image data stored in a temporary storage area within the smart glasses.

[0125] Step 2:

[0126] Sending a face image

[0127] The device transmits the captured facial image to the server in real time. The input is the facial image data stored in the device's temporary storage area, and the output is the image data sent to the server. Specifically, the data is transferred using Wi-Fi or mobile networks.

[0128] Step 3:

[0129] Facial image analysis and matching

[0130] The server analyzes the received facial image using image analysis software (e.g., OpenCV). The input is the customer's facial image sent to the server, and the output is the analyzed feature data. The server compares this feature data with the facial information stored in the database. This involves a comparison of multiple feature values.

[0131] Step 4:

[0132] Search for customer information

[0133] When the server finds a matching face, it searches the database for related customer information and past interaction information. The input is the successfully matched customer ID, and the output is related customer information and interaction history information. SQL queries and other methods are used to process the data.

[0134] Step 5:

[0135] Sending customer information

[0136] The search results are sent from the server to the user's smart glasses. The input is the customer information searched on the server, and the output is the data sent to the smart glasses, which is also sent via Wi-Fi or mobile networks.

[0137] Step 6:

[0138] View customer information

[0139] The terminal displays the received information on the smart glasses display. The input is customer information sent from the server, and the output is information provided visually to the user. The user can confirm this information and proceed with the business negotiation.

[0140] Step 7:

[0141] Scanning new customer business cards

[0142] For new customers, the user scans their business card with the smart glasses: the input is the physical business card, and the output is the image data captured by the smart glasses.

[0143] Step 8:

[0144] Sending business card images

[0145] The terminal sends the scanned business card image to the server. The input is the image data of the scanned business card, and the output is the data sent to the server.

[0146] Step 9:

[0147] OCR analysis and storage of business card information

[0148] The server uses OCR software (e.g., Tesseract) to extract business card information from the business card image. The input is the submitted business card image, and the output is the extracted text information. The server stores this in a database and links it to the facial information.

[0149] Step 10:

[0150] Requesting additional information via voice command

[0151] If additional information is needed during a business meeting, the user can use the voice recognition function of the smart glasses to request search for additional information. The input is the user's voice command, and the output is text data of the voice command.

[0152] Step 11:

[0153] Server retrieval of additional information

[0154] The server retrieves additional information from a database based on the user's request, where the input is a voice command requesting additional information in text form, and the output is the retrieved data.

[0155] Step 12:

[0156] Sending additional information

[0157] The search results are sent back from the server to the smart glasses. The input is the additional information retrieved from the server, and the output is the data sent to the smart glasses. This process also takes place over Wi-Fi or mobile networks.

[0158] Step 13:

[0159] Viewing Additional Information

[0160] The device then displays the additional information it receives on the smart glasses display. The input is the additional information sent from the server, and the output is the information visually presented to the user. The user can use this information to further advance business negotiations.

[0161] (Application example 1)

[0162] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0163] Conventional customer service systems have the problem of being unable to quickly obtain customer information or provide real-time information on past interactions. Furthermore, for new customers, the acquisition and linking of business card information is done manually, which is inefficient and time-consuming. Furthermore, when salespeople are actually walking around and interacting with customers, there is a lack of a way to obtain the necessary information in real time.

[0164] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0165] In this invention, the server includes: means for acquiring a facial image of a person input by a user; means for transmitting the acquired facial image to the server; means for the server to analyze the facial image and compare it with facial information stored in a database; means for the server to search for past interaction information about the matching person and transmit that information from the server to the user's terminal; means for displaying the past interaction information received on the user's terminal; means for the user to acquire facial images of customers in real time while walking around 360 degrees; and means for scanning business card information provided by new customers with smart glasses and transmitting the business card image to the server. This enables rapid acquisition of customer information and provision of past interaction information in real time, enabling efficient acquisition and linking of business card information even for new customers. Furthermore, it also enables necessary information to be acquired and provided in real time even when a salesperson is actually walking around and interacting with customers.

[0166] A "user" is a person who operates the system and interacts with customers.

[0167] A "face image" is an image of a person's face that is acquired by a user in order to identify a specific person.

[0168] A "server" is a computer system that analyzes facial images, searches a database, and provides the necessary information to the user's terminal.

[0169] A "database" is a data storage device for storing customer facial information, past interaction information, business card information, etc.

[0170] "Smart glasses" are eyeglass-type devices worn by users that are equipped with functions such as a camera and a display.

[0171] A "business card image" is an image of a business card provided by a new customer scanned with smart glasses.

[0172] "OCR (Optical Character Recognition)" is a technology that analyzes characters in an image and converts them into text data.

[0173] "Past transaction information" refers to historical information such as conversations and transactions that have taken place with a customer.

[0174] A "voice command" is a means by which a user can give instructions to a system by voice.

[0175] A "touch panel" is an input device that users can touch to operate the device, and is sometimes installed in smart glasses.

[0176] The system for implementing this invention is configured using smart glasses, a server, a database, and OCR technology to provide customer information in real time. The main processing is as follows.

[0177] System Configuration

[0178] 1. Smart Glasses:

[0179] Smart glasses are glasses-like devices worn by users and equipped with a camera and display. They capture images of customers' faces and business cards and send them to a server. They can also be operated by voice commands or via touch panel input.

[0180] 2. Server:

[0181] It analyzes and matches facial images, searches for past interaction information, etc. The server accesses the database and sends the necessary information to the user's smart glasses.

[0182] 3. Database:

[0183] Stores face information, business card information, past interaction information, etc. It is accessed when the server searches for information.

[0184] 4. OCR technology:

[0185] A technology that extracts text information from business card images captured by smart glasses. The extracted information is stored in a database.

[0186] Processing flow

[0187] 1. Acquire and send face image:

[0188] The user wears the smart glasses and captures the customer's facial image with the camera, which is then sent to the server.

[0189] 2. Facial image analysis and customer identification:

[0190] The server analyzes the received facial image and compares it with the facial information stored in the database. If the match is successful, it searches for past interaction information and sends it to the user's smart glasses.

[0191] 3. Acquisition and linking of business card information:

[0192] For new customers, the user scans their business card with the smart glasses. The server receives the card image and uses OCR technology to extract the card information. The extracted information is stored in a database and linked to the face information.

[0193] 4. Real-time information provision:

[0194] Users can view past interaction information displayed on the smart glasses. If necessary, they can request additional information using voice commands or the touch panel. The server retrieves the requested information and sends it to the smart glasses.

[0195] Specific examples

[0196] Consider a scenario in which a salesperson walks around a physical store and interacts with customers. The salesperson wears smart glasses and captures a facial image of a customer visiting for the first time. The server analyzes the facial image and displays any past interaction information on the smart glasses' display. For new customers, the salesperson scans their business card and uses OCR technology to store the information in a database. If a customer asks about a specific product, the salesperson can request additional information using voice commands on the smart glasses, which are then displayed in real time.

[0197] Prompt Sentence Examples

[0198] "Generate the following code: A Python program that captures facial images with smart glasses, sends them to a server, and retrieves customer information in real time. For new customers, scan their business cards, extract the information, and link it to the facial information."

[0199] This allows for a concrete embodiment of the invention and improves the efficiency of customer service.

[0200] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0201] Step 1:

[0202] A user wears smart glasses and walks around a physical store. The smart glasses' camera captures facial images of customers. The captured facial images are temporarily stored in the smart glasses.

[0203] Input: Customer's face image

[0204] Output: Temporarily saved face image data

[0205] Step 2:

[0206] The smart glasses transmit the captured facial images to the server, where they are compressed in an appropriate format (e.g., JPEG) to improve communication efficiency.

[0207] Input: Temporarily saved face image data

[0208] Output: Facial image data sent to the server

[0209] Step 3:

[0210] The server analyzes the received facial image, extracts feature points from the image using a facial recognition algorithm, and matches them with facial information stored in a database.

[0211] Input: Transmitted face image data

[0212] Data processing: Feature point extraction and database matching using face recognition algorithms

[0213] Output: Whether or not there is a matching face and related customer information

[0214] Step 4:

[0215] If the match is successful, the server searches the database for past interaction information and sends it to the user's smart glasses. If the match is unsuccessful, the server notifies the user.

[0216] Input: Matching face information

[0217] Data calculation: Searching for past transaction information

[0218] Output: Past interaction information or failure notification

[0219] Step 5:

[0220] The user's smart glasses display the received past interaction information on the screen, providing the user with necessary context while engaging in a conversation with a customer.

[0221] Input: Past communication information

[0222] Output: Information displayed on the smart glasses display

[0223] Step 6:

[0224] For new customers, the user scans the customer's business card with the smart glasses, which then send the image to the server.

[0225] Input: Business card image

[0226] Output: Business card image data sent to the server

[0227] Step 7:

[0228] The server uses OCR technology to extract text information from the received business card image, which is then stored in a database and linked to the customer's facial information.

[0229] Input: Business card image data

[0230] Data processing: Text information extraction using OCR

[0231] Output: Business card information stored in the database

[0232] Step 8:

[0233] If the user needs additional information, they can request it using voice commands or the touch panel of the smart glasses, which then send the request to the server.

[0234] Input: Voice command or touch panel input

[0235] Output: Request for more information sent to the server

[0236] Step 9:

[0237] The server retrieves the requested additional information from its database and sends it to the user's smart glasses.

[0238] Input: Request for additional information

[0239] Data Calculation: Searching for Additional Information

[0240] Output: Additional information sent to the smart glasses

[0241] Step 10:

[0242] The user's smart glasses will then display the additional information in real time, allowing the user to take appropriate action based on that information.

[0243] Input: Additional Information

[0244] Output: Additional information displayed on the smart glasses display

[0245] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0246] The present invention is a system that acquires and displays information necessary for a user wearing smart glasses during business negotiations with a customer in real time. In addition, by combining this with an emotion engine, it is possible to recognize the user's emotions and provide appropriate information and operation methods according to the emotions. Specific embodiments of the system are described below.

[0247] The system of the present invention comprises the following components:

[0248] 1. Smart glasses (device)

[0249] 2. Central Server

[0250] 3. Emotion Engine

[0251] 4. Database

[0252] System program processing explanation

[0253] Acquiring and sending face images

[0254] When a user wears the smart glasses and starts a business meeting with a customer, the device captures an image of the customer's face through the camera, and the image is sent from the device to a server.

[0255] Facial image analysis and customer identification

[0256] The server analyzes the received facial image and compares it with facial information stored in a database. If a match is found, the server searches for related customer information and past interaction information and sends it to the device.

[0257] Acquiring and linking business card information

[0258] If the user is a new customer, they scan their business card with the smart glasses. The device sends the business card image to the server, which uses OCR technology to extract the card information. The extracted business card information is stored in a database and linked to the customer's facial information.

[0259] Real-time information provision

[0260] The customer information and past interaction information sent by the server to the user's device are displayed on the device's smart glasses. The user can check this information as they proceed with the conversation. If the user requests additional information using voice commands or the touch panel, the request is sent from the device to the server, which searches for the additional information and sends the results to the device.

[0261] Emotion Engine Operation

[0262] The emotion engine analyzes the user's facial expressions and voice to recognize their emotions. This information is sent to the server, which then provides optimized information based on the user's emotional state. For example, if the user is feeling stressed, the system will provide relaxation suggestions and simple operation guides.

[0263] Specific examples

[0264] 1. When a user initiates a new business deal with Customer Y:

[0265] The user captures the face of customer Y through the smart glasses, and the device sends the facial image to the server.

[0266] The server performs facial recognition, and if there is no match, the user scans Customer Y's business card.

[0267] The server extracts the business card information using OCR, links it to facial information, and stores it in a database.

[0268] At the same time, the emotion engine recognizes the user's emotions and displays relaxed suggestions and concise information.

[0269] 2. When the user reschedules with Customer Z:

[0270] The facial image is sent to the server and matched with information previously stored in the database.

[0271] The server searches for past business negotiation details and related interaction information and sends it to the terminal.

[0272] The user checks the displayed information and, if more specific information is needed, issues a voice command.

[0273] The emotion engine monitors the user's stress level and provides support when needed.

[0274] In this way, the system of the present invention manages customer information and provides information in real time, while providing appropriate support according to the user's emotional state, thereby improving the efficiency of business negotiations and reducing the burden on the user.

[0275] The processing flow will be explained below.

[0276] Step 1:

[0277] The user wears the smart glasses during a business meeting, and the device uses its built-in camera to capture the face of the person they are meeting with.

[0278] Step 2:

[0279] The device then sends the acquired facial image data to a server, where encryption technology is used to ensure the security of the data.

[0280] Step 3:

[0281] The server applies a facial recognition algorithm to analyze the received facial image, extracting facial features and matching them with facial information stored in a database.

[0282] Step 4:

[0283] The server compares the acquired facial image with the facial information stored in the database and identifies matching customer information.

[0284] Step 5:

[0285] The server searches a database for past transaction information for matching customers and transmits it to the user's terminal.

[0286] Step 6:

[0287] The device then displays the received customer information and past transaction information on the smart glasses display, allowing the user to proceed with the business negotiation while checking this information.

[0288] Step 7:

[0289] When a user receives a business card from a business partner, they scan it using the smart glasses, and the device sends the scanned image of the card to the server.

[0290] Step 8:

[0291] The server analyzes the business card image and uses OCR technology to extract business card information (name, position, company name, contact information).

[0292] Step 9:

[0293] The server links the extracted business card information with facial information and stores it in a database.

[0294] Step 10:

[0295] During a sales meeting, if the user requires additional information, they can request it using voice commands or the touch panel on the smart glasses.

[0296] Step 11:

[0297] The terminal sends the user's request to the server, which again searches the database to find the additional information requested.

[0298] Step 12:

[0299] The server sends the search results to the device, which then displays the information on the smart glasses in real time.

[0300] Step 13:

[0301] The emotion engine analyzes the user's facial expressions and voice to recognize their emotional state, and provides appropriate information and operational support based on that state.

[0302] Step 14:

[0303] If the user is feeling stressed, the emotion engine will suggest relaxation methods and provide simple operating instructions.

[0304] Step 15:

[0305] After the business meeting is over, the user inputs the details of the meeting and important points into the smart glasses, which then transmits this information to the server.

[0306] Step 16:

[0307] The server analyzes the newly entered business details and adds them to the customer's database entry, making them available as reference for future business negotiations.

[0308] Example 2

[0309] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0310] Current sales negotiation support systems place a heavy burden on users, as they must manually acquire and manage customer information. They also struggle to provide appropriate information in real time during sales negotiations, and lack support tailored to the user's emotional state. This makes it particularly difficult to provide appropriate support to new customers on the first meeting, potentially reducing the quality and efficiency of sales negotiations.

[0311] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for acquiring a facial image of a person input by a user, means for transmitting the acquired facial image, means for analyzing the facial image and comparing it with facial information stored in a database, means for searching for and transmitting past interaction information about the matching person, means for displaying information on the user's terminal, an emotion engine for analyzing and recognizing emotions, and means for providing information and operation guides based on the emotions. This allows the user to check customer information in real time during a business negotiation, take appropriate action, and receive support according to their emotional state.

[0312] A "user" is a person who operates the system and conducts business negotiations.

[0313] A "terminal" is an electronic device that is worn by a user, such as smart glasses.

[0314] A "server" is a central processing unit that analyzes facial images and searches for customer information.

[0315] A "face image" is image data of a person's face captured through a camera.

[0316] A "database" is an information management system that stores customer information, past transaction information, business card information, etc.

[0317] An "emotion engine" is a software or hardware component that analyzes a user's facial expressions and voice to recognize their emotional state.

[0318] A "business card" is a piece of paper that contains a customer's contact information.

[0319] "OCR technology" is an optical character recognition technology that extracts text data from image data.

[0320] "Real-time information provision" is a function that instantly displays relevant information to the user during a business negotiation.

[0321] A "voice command" is an operation instruction that a user inputs to a system using voice.

[0322] A "touch panel" is a display device that a user can directly operate using a finger or a stylus.

[0323] This invention is a system that acquires and displays information necessary for a user wearing smart glasses in real time when negotiating with a customer. Furthermore, by combining it with an emotion engine, it is possible to recognize the user's emotions and provide appropriate information and operation methods according to the emotions. The system of this invention is composed of the following components: smart glasses (terminal), central server, emotion engine, and database.

[0324] Acquiring and sending face images

[0325] When a user wears smart glasses and starts a business meeting with a customer, the device captures an image of the customer's face using a camera. This facial image is then sent from the device to a server. The camera used here is a high-resolution camera built into the smart glasses, and its image processing speed is fast, making it possible to send data in real time.

[0326] Facial image analysis and customer identification

[0327] The server uses facial recognition algorithms such as OpenCV and FaceNet to analyze the received facial images, compares the analyzed facial images with facial information stored in a database, and if a match is found, retrieves related customer information and past interaction information and sends it to the device.

[0328] Acquiring and linking business card information

[0329] If the user is a new customer, they scan their business card with the smart glasses, and the OCR technology used (e.g., Tesseract OCR) extracts text data from the card image, stores that information in a database, and links it to the customer's facial information.

[0330] Real-time information provision

[0331] The customer information and past interaction information sent by the server to the user's device are displayed in real time on the smart glasses' display. The user can check this information while continuing the conversation. If the user requests additional information using voice commands or the touch panel, the request is sent from the device to the server, and the server searches for the additional information and sends the results to the device.

[0332] Emotion Engine Operation

[0333] The emotion engine analyzes the user's facial expressions and voice to recognize their emotions in real time. This information is sent to the server, which then provides optimized information based on the user's emotional state. For example, if the user is feeling stressed, the emotion engine will suggest relaxation techniques and provide simple operation guides.

[0334] Specific examples

[0335] When a user initiates a new business negotiation with Customer Y

[0336] The user captures the face of customer Y through the smart glasses, and the device sends the facial image to the server.

[0337] The server performs facial recognition, and if there is no match, the user scans Customer Y's business card.

[0338] The server extracts the business card information using OCR, links it to facial information, and stores it in a database.

[0339] At the same time, the emotion engine recognizes the user's emotions and displays relaxed suggestions and concise information.

[0340] When the user negotiates with Customer Z again

[0341] The facial image is sent to the server and matched with information previously stored in the database.

[0342] The server searches for past business negotiation details and related interaction information and sends it to the terminal.

[0343] The user checks the displayed information and, if more specific information is needed, issues a voice command.

[0344] The emotion engine monitors the user's stress level and provides support when needed.

[0345] An example of a prompt to be input to the generative AI model is, "When a user starts a business meeting with a new customer, please tell me how to capture a facial image, obtain business card information, provide information in real time, and utilize the emotion engine to support the user."

[0346] In this way, the system of the present invention manages customer information and provides information in real time, while providing appropriate support according to the user's emotional state, thereby improving the efficiency of business negotiations and reducing the burden on the user.

[0347] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0348] Step 1:

[0349] The user puts on the smart glasses and turns them on.

[0350] Input: Press the power button on your smart glasses.

[0351] Output: The smart glasses start up and the system is ready. The initial screen is displayed on the smart glasses screen.

[0352] Step 2:

[0353] The user launches the dedicated application and begins negotiations.

[0354] Enter: Tap the application's launch icon.

[0355] Output: The application launches, the camera is ready to capture the customer's face image, and the screen displays Ready to begin the transaction.

[0356] Step 3:

[0357] The device captures the customer's facial image through the camera and sends the data to the server.

[0358] Input: Customer's face comes into camera range.

[0359] Output: The captured facial image is sent to the server in real time, and the facial image data is stored on the server.

[0360] Step 4:

[0361] The server analyzes the received facial image and compares it with facial information stored in a database.

[0362] Input: Facial image data sent to the server.

[0363] Data processing / calculation: Analyze facial images using OpenCV and FaceNet and extract feature points.

[0364] Output: Customer information that matches the facial image feature data is searched for. The server retrieves the customer information.

[0365] Step 5:

[0366] The server searches for matching customer information and past transaction information and sends it to the terminal.

[0367] Input: Matching customer information data.

[0368] Data processing / calculation: Search for customer information and related past interactions.

[0369] Output: The searched information is sent to the terminal, which displays the customer information and past interactions.

[0370] Step 6:

[0371] If the user is a new customer, they scan their business card with the smart glasses.

[0372] Input: The user holds a business card up to the smartglasses' camera.

[0373] Output: The business card image data is sent to the server and saved on the server.

[0374] Step 7:

[0375] The server extracts the business card information from the business card image, stores it in a database, and links it to the customer's facial information.

[0376] Input: Business card image data.

[0377] Data processing / calculation: Business card information is converted into text data using Tesseract OCR.

[0378] Output: The extracted business card information is saved in a database and linked to the face information. The customer information is updated in the database.

[0379] Step 8:

[0380] The server accepts voice commands or touch panel inputs requesting additional information and processes the requests.

[0381] Input: The user requests additional information via voice command or touch panel.

[0382] Output: A request for additional information is sent to the server, where it is saved.

[0383] Step 9:

[0384] The server retrieves the requested additional information and sends it to the terminal.

[0385] Input: Request data for additional information.

[0386] Data processing / calculation: Searching for additional information from databases.

[0387] Output: The retrieved additional information is sent to the device. The additional information is displayed in real time on the smart glasses.

[0388] Step 10:

[0389] The emotion engine analyzes the user's facial expressions and voice to recognize their emotional state.

[0390] Input: User's facial expression and voice data.

[0391] Data processing / calculation: Facial expression and voice analysis are performed to determine emotional state.

[0392] Output: The emotional state is sent to the server, and the server provides optimal information and operation guidance based on the emotion. Suggestions based on the user's emotion are displayed on the smart glasses.

[0393] This process flow allows users to check customer information in real time during negotiations and respond appropriately. In addition, the emotion engine reduces user stress and improves the quality of negotiations.

[0394] (Application example 2)

[0395] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0396] In brick-and-mortar stores, salespeople are required to quickly and appropriately obtain customer information while serving customers and provide support that corresponds to their emotional state. However, current technology does not adequately develop a system for obtaining and responding to customer information in real time, making it difficult to provide efficient customer service. Furthermore, the lack of appropriate information or suggestions for operation that correspond to the salesperson's emotional state can lead to stress.

[0397] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means. In this invention, the server includes means for acquiring a facial image of a person input by a user, means for transmitting the acquired facial image to the server, means for the server to analyze the facial image and compare it with facial information stored in a database, means for the server to search for past interaction information about the matching person and transmit the information from the server to the user's terminal, means for displaying the past interaction information received on the user's terminal, an emotion engine for analyzing the user's emotional state, means for suggesting appropriate information provision and operation methods according to the emotional state analyzed by the emotion engine, means for the user to scan new business card information with a visual device and transmit the business card image to the server, means for the server to extract the business card information from the business card image and store it in a database, means for linking the business card information with facial information, means for the user to input a request for additional information via a voice command or an input device, means for the terminal to transmit a request for additional information to the server, means for the server to search for the requested additional information and transmit it to the terminal, and means for the terminal to display the additional information in real time. This enables salespeople to obtain customer information in real time and receive appropriate support according to their emotional state.

[0398] "User" refers to a salesperson in a physical store who wears a visual device such as smart glasses and deals with customers.

[0399] A "facial image" is a still image or a portion of a video that captures a customer's face and is used for personal identification.

[0400] "Server" refers to a central processing unit that analyzes facial images and business card information, compares them with information stored in a database, and provides the results to the user's terminal.

[0401] A "database" is a collection of information that the server accesses and manages stored face information, customer information, business card information, and related interaction information.

[0402] An "emotion engine" refers to software or a system that analyzes the facial expressions and voice of users or customers to recognize their emotional state.

[0403] "Real-time information provision" refers to the process in which a server retrieves information instantly in response to a user's request and provides it to the user's terminal.

[0404] A "visual device" is a device that displays visual information, such as smart glasses or a head-mounted display worn by a user.

[0405] "Business card information" refers to text information and contact information extracted from business cards, and is data that is managed in conjunction with customer facial information.

[0406] A "voice command" is an instruction given by voice by a user, and is a means of requesting the system to perform operations such as searching for information or providing additional information.

[0407] "Additional information" is information that the user desires, including more detailed customer information, past interactions, and related suggestions.

[0408] The present invention is a system that can be used when sales staff wear smart glasses to serve customers in brick-and-mortar stores. How to implement this system in detail will be described below.

[0409] The system consists of the following major hardware and software components:

[0410] 1. Smart glasses (terminal) - A device worn by sales staff that has camera and display functions.

[0411] 2. Central Server - This is a server that processes and manages customer information and past transaction information. A server building framework such as Flask is used.

[0412] 3. Emotion Engine - Software that analyzes the salesperson's facial expressions and voice data to recognize their emotional state. It uses the EmotionRecognition library.

[0413] 4. Database - A collection of information that manages face information, business card information, customer information, and past interaction information. For example, MySQL or SQLite is used.

[0414] In this system, a salesperson first puts on smart glasses and begins interacting with a customer. The camera function is used to capture an image of the customer's face. The captured image is then sent from the smart glasses to a central server. The server analyzes the received image and compares it with facial information stored in a database. If a match is found, the server searches for related customer information and past interaction information, which are then sent to the smart glasses for display.

[0415] If the customer is a new customer, the salesperson scans the business card with the smart glasses' camera. The card image is sent to a server, and the card information is extracted using OCR technology. This business card information is stored in a database and linked to the customer's facial information. This allows information about new customers to be quickly retrieved on subsequent visits.

[0416] Furthermore, the system monitors the emotional state of salespeople in real time. The emotion engine analyzes facial expressions and voice data, and if it detects a stressful situation, it offers relaxation suggestions and simple operation guidance.

[0417] For example, when a repeat customer visits a store, the smart glasses will display the customer's previous purchases and preferred styles. If a salesperson is feeling stressed, the glasses will display relaxation suggestions, improving the quality of customer service.

[0418] Below are some examples of prompts that can be input to a real generative AI model:

[0419] "A customer wears smart glasses and enters a store. The glasses capture the salesperson's facial expressions and voice data, analyze them in real time, and display customer information and past purchase history. Also, if the salesperson is feeling stressed, they should be shown relaxation suggestions."

[0420] In this way, the system of the present invention improves the efficiency of customer service in physical stores, reducing the burden on sales staff while providing high-quality service.

[0421] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0422] Step 1:

[0423] The user puts on the smart glasses and begins interacting with a customer. The camera on the smart glasses captures an image of the customer's face.

[0424] Input: Customer's face image

[0425] Output: Face image file

[0426] What it does: The smart glasses camera takes a picture of the customer's face and generates an image file.

[0427] Step 2:

[0428] The device sends the captured facial image to a central server.

[0429] Input: Face image file

[0430] Output: Facial image data sent to the server

[0431] Specific operation: The device sends a facial image via the Internet to a specific API on a central server.

[0432] Step 3:

[0433] The server analyzes the received facial image and compares it with facial information stored in a database.

[0434] Input: Facial image data sent to the server

[0435] Output: Customer Identification Information

[0436] What it does: The server uses facial recognition software to analyze the facial image and match it with existing facial information in a database to find a match.

[0437] Step 4:

[0438] The server searches for matching customer information and past transaction information and transmits that information to the user's terminal.

[0439] Input: Customer Identification Information

[0440] Output: Relevant customer information and past interactions

[0441] Specific operation: The server extracts relevant information from the database and sends it to the user's device.

[0442] Step 5:

[0443] Past interaction information received on the user's device is displayed on the smart glasses.

[0444] Input: Relevant customer information and past interactions

[0445] Output: Information displayed on the smart glasses display

[0446] Specific operation: The device analyzes the received data and displays customer information on the smart glasses display.

[0447] Step 6:

[0448] If the user is a new customer, they scan their business card with the smart glasses' camera.

[0449] Input: Business card image

[0450] Output: Business card image file

[0451] Specific operation: Take a photo of a business card using the smart glasses camera and generate an image file.

[0452] Step 7:

[0453] The smart glasses send the business card image to a server, which then uses OCR technology to extract the business card information.

[0454] Input: Business card image file

[0455] Output: Business card information in text format

[0456] Specific operation: The terminal sends the business card image to the server, and the server extracts the text data using OCR software.

[0457] Step 8:

[0458] The server stores the extracted business card information in a database and links it to facial information.

[0459] Input: Business card information in text format

[0460] Output: Customer information and face information link stored in the database

[0461] Specific operation: The server adds the business card information to the database and links it to the facial information.

[0462] Step 9:

[0463] The emotion engine analyzes the user's facial image and voice data to recognize their emotional state.

[0464] Input: Facial video and audio data

[0465] Output: Emotional state identification result

[0466] Specific operation: The emotion engine performs facial expression and voice analysis to recognize the user's emotional state.

[0467] Step 10:

[0468] Based on the emotional state analyzed by the emotion engine, the server provides appropriate information and suggests operating methods.

[0469] Input: Emotional state identification result

[0470] Output: Relaxation suggestions and operation guide

[0471] Specific operation: Based on the results of the emotion engine, the server sends optimized response methods and relaxation suggestions to the device.

[0472] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0473] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0474] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0475] [Second embodiment]

[0476] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0477] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0478] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0479] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0480] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0481] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0482] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0483] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0484] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0485] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0486] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0487] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0488] This invention is a system that provides customer information and past interaction information in real time by linking smart glasses worn by users with a server. The "user" acquires a customer's facial image through the smart glasses, which is then sent to the server. The server analyzes the facial image and compares it with facial information stored in a database. If a match is found, the server searches for related interaction information and sends it to the user's smart glasses.

[0489] Program processing explanation

[0490] Acquiring and sending face images

[0491] The user wears the smart glasses and engages in business negotiations with customers. The device (smart glasses) captures the customer's facial image through a camera and sends the image to a server.

[0492] Facial image analysis and customer identification

[0493] The server analyzes the received facial image and compares it with facial information stored in a database. If a match is found, the server searches for related customer information and past interaction information. The search results are then sent from the server to the user's smart glasses.

[0494] Acquiring and linking business card information

[0495] For new customers, the user scans their business card with the smart glasses. The device sends the image to a server, which uses OCR technology to extract the card information. The extracted card information is stored in a database and linked to the customer's facial information.

[0496] Real-time information provision

[0497] Users can view past transaction information displayed on the smart glasses screen. If needed during a transaction, they can request additional information using voice commands or the touch panel. The device sends this request to the server, which then searches for the additional information and sends it back to the device. This allows users to access the information they need in real time.

[0498] Specific examples

[0499] For example, when a user meets with Customer X for a new business meeting, the user captures the face of Customer X through smart glasses. The facial image is sent from the device to the server, which then initiates the matching process. If there is no matching face information, the user scans Customer X's business card with the smart glasses, and the business card information is sent to the server. The server then uses OCR technology to extract the business card information and stores it in a database.

[0500] If the user has previously conducted business negotiations with Customer X, the facial image matching is successful, and the server searches for Customer X's past interaction information and sends it to the user's device. This information is displayed on the smart glasses' display, allowing the user to proceed with the conversation while checking the necessary background information during the negotiation. If additional information is needed, the user can request information search using voice commands. The information is then displayed on the smart glasses in real time, improving the efficiency of the negotiation.

[0501] This allows users to compensate for declining memory while achieving high business performance.

[0502] The processing flow will be explained below.

[0503] Step 1:

[0504] The user wears the smart glasses and captures the customer's face with the camera, and the device acquires the captured facial image data.

[0505] Step 2:

[0506] The device then sends the acquired facial image data to the server. At this time, the data is sent securely via data encryption and transfer protocols.

[0507] Step 3:

[0508] The server runs a facial recognition algorithm to analyze the received facial image data, specifically extracting facial features and matching them with an existing database.

[0509] Step 4:

[0510] The server compares the received facial image data with the facial information stored in the database to see if they match.

[0511] Step 5:

[0512] The server retrieves matching customer information from a database, which includes past interactions and business card information.

[0513] Step 6:

[0514] The server then sends the extracted customer information and past transaction information to the device, where the data is re-encrypted and transmitted securely.

[0515] Step 7:

[0516] The device displays the received customer information and past transaction information on the smart glasses display, allowing users to check the information in real time.

[0517] Step 8:

[0518] If the user needs more detailed information, they can request additional information via voice commands or the smart glasses' touch panel.

[0519] Step 9:

[0520] The device sends the user's request to the server, where the communication data is also encrypted and transmitted securely.

[0521] Step 10:

[0522] The server receives requests to retrieve additional information and re-searches the database, such as the status of a particular project or the contents of past emails.

[0523] Step 11:

[0524] The server sends the search results to the device, which displays them on the smart glasses display, allowing the user to access more detailed information.

[0525] Step 12:

[0526] After the business meeting is over, the user inputs the details of the meeting and important points into the smart glasses, which then transmits this information to the server.

[0527] Step 13:

[0528] The server stores the new business details in a database for future reference. In this way, all data is centrally managed and available for future use.

[0529] Example 1

[0530] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0531] In conventional business negotiations, it has been difficult to quickly and accurately obtain information about customers. Particularly when negotiating with new customers, the process of registering customer information in a database is cumbersome, making it difficult to obtain necessary information in real time during a negotiation. Furthermore, it is difficult to quickly refer to information about past interactions with customers, which reduces the efficiency of business negotiations.

[0532] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0533] In this invention, the server includes: means for acquiring a facial image of a person input by a user; means for transmitting the acquired facial image to the server; means for the server to analyze the facial image and compare it with facial information stored in a database; means for the server to search for past interaction information about the matching person and transmit the information from the server to the user's terminal; means for displaying the past interaction information received on the user's terminal; means for scanning business card information with smart glasses in the case of a new customer; means for transmitting the business card image to the server; means for the server to extract business card information from the business card image and link it to facial information; means for requesting additional information via voice commands during a business meeting; and means for searching for the additional information based on the request and displaying it in real time. This enables rapid acquisition of customer information, efficient registration of business card information, and real-time reference to necessary information.

[0534] A "user" is a person who uses this system to obtain customer information and conduct business negotiations.

[0535] "Terminal" refers to the smart glasses worn by the user and the accompanying devices, which are devices that capture facial images and display information.

[0536] A "server" is a computer system that analyzes facial images, collates data, and searches for and transmits information.

[0537] A "face image" is image data of a customer's face that a user captures using smart glasses during a business meeting.

[0538] A "database" is an information management system that stores customer information, facial information, business card information, and past transaction information.

[0539] "Business card information" refers to data such as the name, company name, job title, and contact information written on a customer's business card.

[0540] "OCR technology" is an abbreviation for optical character recognition technology, which is a technology that extracts text information from scanned business card images.

[0541] A "voice command" is an input means that allows a user to give instructions to a system using voice.

[0542] "Real-time information" is information that a user needs immediately during a business negotiation, and is data that is acquired and displayed on the spot.

[0543] "Customer information" refers to all data related to business negotiations, such as the customer's personal information, history of past interactions, and business card information.

[0544] The present invention is a system that provides customer information and past transaction information in real time by linking smart glasses worn by users with a server. This system is realized through the following steps.

[0545] System configuration

[0546] The system uses the following hardware and software:

[0547] Smart glasses (device)

[0548] server

[0549] Database

[0550] OCR software (e.g., Tesseract)

[0551] Image analysis software (e.g., OpenCV)

[0552] Program processing explanation

[0553] Acquiring and sending face images

[0554] The user wears the smart glasses and engages in business negotiations with customers. The device (smart glasses) captures the customer's facial image via a camera and sends the image to a server. This allows the user to take a photo of the customer's face without any stress.

[0555] Facial image analysis and customer identification

[0556] The server analyzes the received facial image and compares it with facial information stored in a database using image analysis software. If a match is found, the server retrieves related customer information and past interaction information and sends it to the user's smart glasses.

[0557] Acquiring and linking business card information

[0558] For new customers, the user scans their business card with the smart glasses. The device sends the image to the server, which then uses OCR technology to extract the card information. The extracted card information is stored in a database and linked to the customer's facial information.

[0559] Real-time information provision

[0560] Users can view past transaction information displayed on the smart glasses screen. If needed during a transaction, they can request additional information using voice commands or the touch panel. The device sends this request to the server, which then searches for the additional information and sends it back to the device. This allows users to access the information they need in real time.

[0561] Specific operation explanation

[0562] For example, when a user has a new business meeting with Customer X, the camera on the smart glasses automatically detects and captures the customer's face. The image is immediately sent to the server, which then initiates the facial recognition process. If there is no matching face information, the user can scan Customer X's business card with the smart glasses, and the business card information is sent to the server. The server then uses OCR technology to extract the business card information and store it in a database.

[0563] As the business negotiation progresses, if the user has previously conducted business negotiations with Customer X, the facial image matching will be successful, and the server will search for information on past interactions with Customer X and send it to the user's device. This information will be displayed on the smart glasses' display, allowing the user to proceed with the conversation while checking the necessary background information during the negotiation.

[0564] Prompt Sentence Examples

[0565] "Please explain the facial image matching system for displaying customer information in real time. Please include specific processing steps."

[0566] "Please explain in detail how the system works, which uses smart glasses to capture customer facial images, send them to a server, and retrieve past interaction information."

[0567] "Please provide a detailed explanation of the system, including the process of extracting business card information using OCR technology and storing it in a database."

[0568] The present invention allows users to compensate for declining memory and achieve high business performance, and also improve the efficiency of business negotiations.

[0569] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0570] Step 1:

[0571] Acquiring a face image

[0572] A user wears smart glasses and engages in business negotiations with a customer. When the user points the smart glasses at the customer's face, the camera on the device (smart glasses) captures an image of the customer's face. The input is the customer's facial image captured through the camera, and the output is image data stored in a temporary storage area within the smart glasses.

[0573] Step 2:

[0574] Sending a face image

[0575] The device transmits the captured facial image to the server in real time. The input is the facial image data stored in the device's temporary storage area, and the output is the image data sent to the server. Specifically, the data is transferred using Wi-Fi or mobile networks.

[0576] Step 3:

[0577] Facial image analysis and matching

[0578] The server analyzes the received facial image using image analysis software (e.g., OpenCV). The input is the customer's facial image sent to the server, and the output is the analyzed feature data. The server compares this feature data with the facial information stored in the database. This involves a comparison of multiple feature values.

[0579] Step 4:

[0580] Search for customer information

[0581] When the server finds a matching face, it searches the database for related customer information and past interaction information. The input is the successfully matched customer ID, and the output is related customer information and interaction history information. SQL queries and other methods are used to process the data.

[0582] Step 5:

[0583] Sending customer information

[0584] The search results are sent from the server to the user's smart glasses. The input is the customer information searched on the server, and the output is the data sent to the smart glasses, which is also sent via Wi-Fi or mobile networks.

[0585] Step 6:

[0586] View customer information

[0587] The terminal displays the received information on the smart glasses display. The input is customer information sent from the server, and the output is information provided visually to the user. The user can confirm this information and proceed with the business negotiation.

[0588] Step 7:

[0589] Scanning new customer business cards

[0590] For new customers, the user scans their business card with the smart glasses: the input is the physical business card, and the output is the image data captured by the smart glasses.

[0591] Step 8:

[0592] Sending business card images

[0593] The terminal sends the scanned business card image to the server. The input is the image data of the scanned business card, and the output is the data sent to the server.

[0594] Step 9:

[0595] OCR analysis and storage of business card information

[0596] The server uses OCR software (e.g., Tesseract) to extract business card information from the business card image. The input is the submitted business card image, and the output is the extracted text information. The server stores this in a database and links it to the facial information.

[0597] Step 10:

[0598] Requesting additional information via voice command

[0599] If additional information is needed during a business meeting, the user can use the voice recognition function of the smart glasses to request search for additional information. The input is the user's voice command, and the output is text data of the voice command.

[0600] Step 11:

[0601] Server retrieval of additional information

[0602] The server retrieves additional information from a database based on the user's request, where the input is a voice command requesting additional information in text form, and the output is the retrieved data.

[0603] Step 12:

[0604] Sending additional information

[0605] The search results are sent back from the server to the smart glasses. The input is the additional information retrieved from the server, and the output is the data sent to the smart glasses. This process also takes place over Wi-Fi or mobile networks.

[0606] Step 13:

[0607] Viewing Additional Information

[0608] The device then displays the additional information it receives on the smart glasses display. The input is the additional information sent from the server, and the output is the information visually presented to the user. The user can use this information to further advance business negotiations.

[0609] (Application example 1)

[0610] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0611] Conventional customer service systems have the problem of being unable to quickly obtain customer information or provide real-time information on past interactions. Furthermore, for new customers, the acquisition and linking of business card information is done manually, which is inefficient and time-consuming. Furthermore, when salespeople are actually walking around and interacting with customers, there is a lack of a way to obtain the necessary information in real time.

[0612] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0613] In this invention, the server includes: means for acquiring a facial image of a person input by a user; means for transmitting the acquired facial image to the server; means for the server to analyze the facial image and compare it with facial information stored in a database; means for the server to search for past interaction information about the matching person and transmit that information from the server to the user's terminal; means for displaying the past interaction information received on the user's terminal; means for the user to acquire facial images of customers in real time while walking around 360 degrees; and means for scanning business card information provided by new customers with smart glasses and transmitting the business card image to the server. This enables rapid acquisition of customer information and provision of past interaction information in real time, enabling efficient acquisition and linking of business card information even for new customers. Furthermore, it also enables necessary information to be acquired and provided in real time even when a salesperson is actually walking around and interacting with customers.

[0614] A "user" is a person who operates the system and interacts with customers.

[0615] A "face image" is an image of a person's face that is acquired by a user in order to identify a specific person.

[0616] A "server" is a computer system that analyzes facial images, searches a database, and provides the necessary information to the user's terminal.

[0617] A "database" is a data storage device for storing customer facial information, past interaction information, business card information, etc.

[0618] "Smart glasses" are eyeglass-type devices worn by users that are equipped with functions such as a camera and a display.

[0619] A "business card image" is an image of a business card provided by a new customer scanned with smart glasses.

[0620] "OCR (Optical Character Recognition)" is a technology that analyzes characters in an image and converts them into text data.

[0621] "Past transaction information" refers to historical information such as conversations and transactions that have taken place with a customer.

[0622] A "voice command" is a means by which a user can give instructions to a system by voice.

[0623] A "touch panel" is an input device that users can touch to operate the device, and is sometimes installed in smart glasses.

[0624] The system for implementing this invention is configured using smart glasses, a server, a database, and OCR technology to provide customer information in real time. The main processing is as follows.

[0625] System Configuration

[0626] 1. Smart Glasses:

[0627] Smart glasses are glasses-like devices worn by users and equipped with a camera and display. They capture images of customers' faces and business cards and send them to a server. They can also be operated by voice commands or via touch panel input.

[0628] 2. Server:

[0629] It analyzes and matches facial images, searches for past interaction information, etc. The server accesses the database and sends the necessary information to the user's smart glasses.

[0630] 3. Database:

[0631] Stores face information, business card information, past interaction information, etc. It is accessed when the server searches for information.

[0632] 4. OCR technology:

[0633] A technology that extracts text information from business card images captured by smart glasses. The extracted information is stored in a database.

[0634] Processing flow

[0635] 1. Acquire and send face image:

[0636] The user wears the smart glasses and captures the customer's facial image with the camera, which is then sent to the server.

[0637] 2. Facial image analysis and customer identification:

[0638] The server analyzes the received facial image and compares it with the facial information stored in the database. If the match is successful, it searches for past interaction information and sends it to the user's smart glasses.

[0639] 3. Acquisition and linking of business card information:

[0640] For new customers, the user scans their business card with the smart glasses. The server receives the card image and uses OCR technology to extract the card information. The extracted information is stored in a database and linked to the face information.

[0641] 4. Real-time information provision:

[0642] Users can view past interaction information displayed on the smart glasses. If necessary, they can request additional information using voice commands or the touch panel. The server retrieves the requested information and sends it to the smart glasses.

[0643] Specific examples

[0644] Consider a scenario in which a salesperson walks around a physical store and interacts with customers. The salesperson wears smart glasses and captures a facial image of a customer visiting for the first time. The server analyzes the facial image and displays any past interaction information on the smart glasses' display. For new customers, the salesperson scans their business card and uses OCR technology to store the information in a database. If a customer asks about a specific product, the salesperson can request additional information using voice commands on the smart glasses, which are then displayed in real time.

[0645] Prompt Sentence Examples

[0646] "Generate the following code: A Python program that captures facial images with smart glasses, sends them to a server, and retrieves customer information in real time. For new customers, scan their business cards, extract the information, and link it to the facial information."

[0647] This allows for a concrete embodiment of the invention and improves the efficiency of customer service.

[0648] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0649] Step 1:

[0650] A user wears smart glasses and walks around a physical store. The smart glasses' camera captures facial images of customers. The captured facial images are temporarily stored in the smart glasses.

[0651] Input: Customer's face image

[0652] Output: Temporarily saved face image data

[0653] Step 2:

[0654] The smart glasses transmit the captured facial images to the server, where they are compressed in an appropriate format (e.g., JPEG) to improve communication efficiency.

[0655] Input: Temporarily saved face image data

[0656] Output: Facial image data sent to the server

[0657] Step 3:

[0658] The server analyzes the received facial image, extracts feature points from the image using a facial recognition algorithm, and matches them with facial information stored in a database.

[0659] Input: Transmitted face image data

[0660] Data processing: Feature point extraction and database matching using face recognition algorithms

[0661] Output: Whether or not there is a matching face and related customer information

[0662] Step 4:

[0663] If the match is successful, the server searches the database for past interaction information and sends it to the user's smart glasses. If the match is unsuccessful, the server notifies the user.

[0664] Input: Matching face information

[0665] Data calculation: Searching for past transaction information

[0666] Output: Past interaction information or failure notification

[0667] Step 5:

[0668] The user's smart glasses display the received past interaction information on the screen, providing the user with necessary context while engaging in a conversation with a customer.

[0669] Input: Past communication information

[0670] Output: Information displayed on the smart glasses display

[0671] Step 6:

[0672] For new customers, the user scans the customer's business card with the smart glasses, which then send the image to the server.

[0673] Input: Business card image

[0674] Output: Business card image data sent to the server

[0675] Step 7:

[0676] The server uses OCR technology to extract text information from the received business card image, which is then stored in a database and linked to the customer's facial information.

[0677] Input: Business card image data

[0678] Data processing: Text information extraction using OCR

[0679] Output: Business card information stored in the database

[0680] Step 8:

[0681] If the user needs additional information, they can request it using voice commands or the touch panel of the smart glasses, which then send the request to the server.

[0682] Input: Voice command or touch panel input

[0683] Output: Request for more information sent to the server

[0684] Step 9:

[0685] The server retrieves the requested additional information from its database and sends it to the user's smart glasses.

[0686] Input: Request for additional information

[0687] Data Calculation: Searching for Additional Information

[0688] Output: Additional information sent to the smart glasses

[0689] Step 10:

[0690] The user's smart glasses will then display the additional information in real time, allowing the user to take appropriate action based on that information.

[0691] Input: Additional Information

[0692] Output: Additional information displayed on the smart glasses display

[0693] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0694] The present invention is a system that acquires and displays information necessary for a user wearing smart glasses during business negotiations with a customer in real time. In addition, by combining this with an emotion engine, it is possible to recognize the user's emotions and provide appropriate information and operation methods according to the emotions. Specific embodiments of the system are described below.

[0695] The system of the present invention comprises the following components:

[0696] 1. Smart glasses (device)

[0697] 2. Central Server

[0698] 3. Emotion Engine

[0699] 4. Database

[0700] System program processing explanation

[0701] Acquiring and sending face images

[0702] When a user wears the smart glasses and starts a business meeting with a customer, the device captures an image of the customer's face through the camera, and the image is sent from the device to a server.

[0703] Facial image analysis and customer identification

[0704] The server analyzes the received facial image and compares it with facial information stored in a database. If a match is found, the server searches for related customer information and past interaction information and sends it to the device.

[0705] Acquiring and linking business card information

[0706] If the user is a new customer, they scan their business card with the smart glasses. The device sends the business card image to the server, which uses OCR technology to extract the card information. The extracted business card information is stored in a database and linked to the customer's facial information.

[0707] Real-time information provision

[0708] The customer information and past interaction information sent by the server to the user's device are displayed on the device's smart glasses. The user can check this information as they proceed with the conversation. If the user requests additional information using voice commands or the touch panel, the request is sent from the device to the server, which searches for the additional information and sends the results to the device.

[0709] Emotion Engine Operation

[0710] The emotion engine analyzes the user's facial expressions and voice to recognize their emotions. This information is sent to the server, which then provides optimized information based on the user's emotional state. For example, if the user is feeling stressed, the system will provide relaxation suggestions and simple operation guides.

[0711] Specific examples

[0712] 1. When a user initiates a new business deal with Customer Y:

[0713] The user captures the face of customer Y through the smart glasses, and the device sends the facial image to the server.

[0714] The server performs facial recognition, and if there is no match, the user scans Customer Y's business card.

[0715] The server extracts the business card information using OCR, links it to facial information, and stores it in a database.

[0716] At the same time, the emotion engine recognizes the user's emotions and displays relaxed suggestions and concise information.

[0717] 2. When the user reschedules with Customer Z:

[0718] The facial image is sent to the server and matched with information previously stored in the database.

[0719] The server searches for past business negotiation details and related interaction information and sends it to the terminal.

[0720] The user checks the displayed information and, if more specific information is needed, issues a voice command.

[0721] The emotion engine monitors the user's stress level and provides support when needed.

[0722] In this way, the system of the present invention manages customer information and provides information in real time, while providing appropriate support according to the user's emotional state, thereby improving the efficiency of business negotiations and reducing the burden on the user.

[0723] The processing flow will be explained below.

[0724] Step 1:

[0725] The user wears the smart glasses during a business meeting, and the device uses its built-in camera to capture the face of the person they are meeting with.

[0726] Step 2:

[0727] The device then sends the acquired facial image data to a server, where encryption technology is used to ensure the security of the data.

[0728] Step 3:

[0729] The server applies a facial recognition algorithm to analyze the received facial image, extracting facial features and matching them with facial information stored in a database.

[0730] Step 4:

[0731] The server compares the acquired facial image with the facial information stored in the database and identifies matching customer information.

[0732] Step 5:

[0733] The server searches a database for past transaction information for matching customers and transmits it to the user's terminal.

[0734] Step 6:

[0735] The device then displays the received customer information and past transaction information on the smart glasses display, allowing the user to proceed with the business negotiation while checking this information.

[0736] Step 7:

[0737] When a user receives a business card from a business partner, they scan it using the smart glasses, and the device sends the scanned image of the card to the server.

[0738] Step 8:

[0739] The server analyzes the business card image and uses OCR technology to extract business card information (name, position, company name, contact information).

[0740] Step 9:

[0741] The server links the extracted business card information with facial information and stores it in a database.

[0742] Step 10:

[0743] During a sales meeting, if the user requires additional information, they can request it using voice commands or the touch panel on the smart glasses.

[0744] Step 11:

[0745] The terminal sends the user's request to the server, which again searches the database to find the additional information requested.

[0746] Step 12:

[0747] The server sends the search results to the device, which then displays the information on the smart glasses in real time.

[0748] Step 13:

[0749] The emotion engine analyzes the user's facial expressions and voice to recognize their emotional state, and provides appropriate information and operational support based on that state.

[0750] Step 14:

[0751] If the user is feeling stressed, the emotion engine will suggest relaxation methods and provide simple operating instructions.

[0752] Step 15:

[0753] After the business meeting is over, the user inputs the details of the meeting and important points into the smart glasses, which then transmits this information to the server.

[0754] Step 16:

[0755] The server analyzes the newly entered business details and adds them to the customer's database entry, making them available as reference for future business negotiations.

[0756] Example 2

[0757] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0758] Current sales negotiation support systems place a heavy burden on users, as they must manually acquire and manage customer information. They also struggle to provide appropriate information in real time during sales negotiations, and lack support tailored to the user's emotional state. This makes it particularly difficult to provide appropriate support to new customers on the first meeting, potentially reducing the quality and efficiency of sales negotiations.

[0759] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for acquiring a facial image of a person input by a user, means for transmitting the acquired facial image, means for analyzing the facial image and comparing it with facial information stored in a database, means for searching for and transmitting past interaction information about the matching person, means for displaying information on the user's terminal, an emotion engine for analyzing and recognizing emotions, and means for providing information and operation guides based on the emotions. This allows the user to check customer information in real time during a business negotiation, take appropriate action, and receive support according to their emotional state.

[0760] A "user" is a person who operates the system and conducts business negotiations.

[0761] A "terminal" is an electronic device that is worn by a user, such as smart glasses.

[0762] A "server" is a central processing unit that analyzes facial images and searches for customer information.

[0763] A "face image" is image data of a person's face captured through a camera.

[0764] A "database" is an information management system that stores customer information, past transaction information, business card information, etc.

[0765] An "emotion engine" is a software or hardware component that analyzes a user's facial expressions and voice to recognize their emotional state.

[0766] A "business card" is a piece of paper that contains a customer's contact information.

[0767] "OCR technology" is an optical character recognition technology that extracts text data from image data.

[0768] "Real-time information provision" is a function that instantly displays relevant information to the user during a business negotiation.

[0769] A "voice command" is an operation instruction that a user inputs to a system using voice.

[0770] A "touch panel" is a display device that a user can directly operate using a finger or a stylus.

[0771] This invention is a system that acquires and displays information necessary for a user wearing smart glasses in real time when negotiating with a customer. Furthermore, by combining it with an emotion engine, it is possible to recognize the user's emotions and provide appropriate information and operation methods according to the emotions. The system of this invention is composed of the following components: smart glasses (terminal), central server, emotion engine, and database.

[0772] Acquiring and sending face images

[0773] When a user wears smart glasses and starts a business meeting with a customer, the device captures an image of the customer's face using a camera. This facial image is then sent from the device to a server. The camera used here is a high-resolution camera built into the smart glasses, and its image processing speed is fast, making it possible to send data in real time.

[0774] Facial image analysis and customer identification

[0775] The server uses facial recognition algorithms such as OpenCV and FaceNet to analyze the received facial images, compares the analyzed facial images with facial information stored in a database, and if a match is found, retrieves related customer information and past interaction information and sends it to the device.

[0776] Acquiring and linking business card information

[0777] If the user is a new customer, they scan their business card with the smart glasses, and the OCR technology used (e.g., Tesseract OCR) extracts text data from the card image, stores that information in a database, and links it to the customer's facial information.

[0778] Real-time information provision

[0779] The customer information and past interaction information sent by the server to the user's device are displayed in real time on the smart glasses' display. The user can check this information while continuing the conversation. If the user requests additional information using voice commands or the touch panel, the request is sent from the device to the server, and the server searches for the additional information and sends the results to the device.

[0780] Emotion Engine Operation

[0781] The emotion engine analyzes the user's facial expressions and voice to recognize their emotions in real time. This information is sent to the server, which then provides optimized information based on the user's emotional state. For example, if the user is feeling stressed, the emotion engine will suggest relaxation techniques and provide simple operation guides.

[0782] Specific examples

[0783] When a user initiates a new business negotiation with Customer Y

[0784] The user captures the face of customer Y through the smart glasses, and the device sends the facial image to the server.

[0785] The server performs facial recognition, and if there is no match, the user scans Customer Y's business card.

[0786] The server extracts the business card information using OCR, links it to facial information, and stores it in a database.

[0787] At the same time, the emotion engine recognizes the user's emotions and displays relaxed suggestions and concise information.

[0788] When the user negotiates with Customer Z again

[0789] The facial image is sent to the server and matched with information previously stored in the database.

[0790] The server searches for past business negotiation details and related interaction information and sends it to the terminal.

[0791] The user checks the displayed information and, if more specific information is needed, issues a voice command.

[0792] The emotion engine monitors the user's stress level and provides support when needed.

[0793] An example of a prompt to be input to the generative AI model is, "When a user starts a business meeting with a new customer, please tell me how to capture a facial image, obtain business card information, provide information in real time, and utilize the emotion engine to support the user."

[0794] In this way, the system of the present invention manages customer information and provides information in real time, while providing appropriate support according to the user's emotional state, thereby improving the efficiency of business negotiations and reducing the burden on the user.

[0795] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0796] Step 1:

[0797] The user puts on the smart glasses and turns them on.

[0798] Input: Press the power button on your smart glasses.

[0799] Output: The smart glasses start up and the system is ready. The initial screen is displayed on the smart glasses screen.

[0800] Step 2:

[0801] The user launches the dedicated application and begins negotiations.

[0802] Enter: Tap the application's launch icon.

[0803] Output: The application launches, the camera is ready to capture the customer's face image, and the screen displays Ready to begin the transaction.

[0804] Step 3:

[0805] The device captures the customer's facial image through the camera and sends the data to the server.

[0806] Input: Customer's face comes into camera range.

[0807] Output: The captured facial image is sent to the server in real time, and the facial image data is stored on the server.

[0808] Step 4:

[0809] The server analyzes the received facial image and compares it with facial information stored in a database.

[0810] Input: Facial image data sent to the server.

[0811] Data processing / calculation: Analyze facial images using OpenCV and FaceNet and extract feature points.

[0812] Output: Customer information that matches the facial image feature data is searched for. The server retrieves the customer information.

[0813] Step 5:

[0814] The server searches for matching customer information and past transaction information and sends it to the terminal.

[0815] Input: Matching customer information data.

[0816] Data processing / calculation: Search for customer information and related past interactions.

[0817] Output: The searched information is sent to the terminal, which displays the customer information and past interactions.

[0818] Step 6:

[0819] If the user is a new customer, they scan their business card with the smart glasses.

[0820] Input: The user holds a business card up to the smartglasses' camera.

[0821] Output: The business card image data is sent to the server and saved on the server.

[0822] Step 7:

[0823] The server extracts the business card information from the business card image, stores it in a database, and links it to the customer's facial information.

[0824] Input: Business card image data.

[0825] Data processing / calculation: Business card information is converted into text data using Tesseract OCR.

[0826] Output: The extracted business card information is saved in a database and linked to the face information. The customer information is updated in the database.

[0827] Step 8:

[0828] The server accepts voice commands or touch panel inputs requesting additional information and processes the requests.

[0829] Input: The user requests additional information via voice command or touch panel.

[0830] Output: A request for additional information is sent to the server, where it is saved.

[0831] Step 9:

[0832] The server retrieves the requested additional information and sends it to the terminal.

[0833] Input: Request data for additional information.

[0834] Data processing / calculation: Searching for additional information from databases.

[0835] Output: The retrieved additional information is sent to the device. The additional information is displayed in real time on the smart glasses.

[0836] Step 10:

[0837] The emotion engine analyzes the user's facial expressions and voice to recognize their emotional state.

[0838] Input: User's facial expression and voice data.

[0839] Data processing / calculation: Facial expression and voice analysis are performed to determine emotional state.

[0840] Output: The emotional state is sent to the server, and the server provides optimal information and operation guidance based on the emotion. Suggestions based on the user's emotion are displayed on the smart glasses.

[0841] This process flow allows users to check customer information in real time during negotiations and respond appropriately. In addition, the emotion engine reduces user stress and improves the quality of negotiations.

[0842] (Application example 2)

[0843] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0844] In brick-and-mortar stores, salespeople are required to quickly and appropriately obtain customer information while serving customers and provide support that corresponds to their emotional state. However, current technology does not adequately develop a system for obtaining and responding to customer information in real time, making it difficult to provide efficient customer service. Furthermore, the lack of appropriate information or suggestions for operation that correspond to the salesperson's emotional state can lead to stress.

[0845] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means. In this invention, the server includes means for acquiring a facial image of a person input by a user, means for transmitting the acquired facial image to the server, means for the server to analyze the facial image and compare it with facial information stored in a database, means for the server to search for past interaction information about the matching person and transmit the information from the server to the user's terminal, means for displaying the past interaction information received on the user's terminal, an emotion engine for analyzing the user's emotional state, means for suggesting appropriate information provision and operation methods according to the emotional state analyzed by the emotion engine, means for the user to scan new business card information with a visual device and transmit the business card image to the server, means for the server to extract the business card information from the business card image and store it in a database, means for linking the business card information with facial information, means for the user to input a request for additional information via a voice command or an input device, means for the terminal to transmit a request for additional information to the server, means for the server to search for the requested additional information and transmit it to the terminal, and means for the terminal to display the additional information in real time. This enables salespeople to obtain customer information in real time and receive appropriate support according to their emotional state.

[0846] "User" refers to a salesperson in a physical store who wears a visual device such as smart glasses and deals with customers.

[0847] A "facial image" is a still image or a portion of a video that captures a customer's face and is used for personal identification.

[0848] "Server" refers to a central processing unit that analyzes facial images and business card information, compares them with information stored in a database, and provides the results to the user's terminal.

[0849] A "database" is a collection of information that the server accesses and manages stored face information, customer information, business card information, and related interaction information.

[0850] An "emotion engine" refers to software or a system that analyzes the facial expressions and voice of users or customers to recognize their emotional state.

[0851] "Real-time information provision" refers to the process in which a server retrieves information instantly in response to a user's request and provides it to the user's terminal.

[0852] A "visual device" is a device that displays visual information, such as smart glasses or a head-mounted display worn by a user.

[0853] "Business card information" refers to text information and contact information extracted from business cards, and is data that is managed in conjunction with customer facial information.

[0854] A "voice command" is an instruction given by voice by a user, and is a means of requesting the system to perform operations such as searching for information or providing additional information.

[0855] "Additional information" is information that the user desires, including more detailed customer information, past interactions, and related suggestions.

[0856] The present invention is a system that can be used when sales staff wear smart glasses to serve customers in brick-and-mortar stores. How to implement this system in detail will be described below.

[0857] The system consists of the following major hardware and software components:

[0858] 1. Smart glasses (terminal) - A device worn by sales staff that has camera and display functions.

[0859] 2. Central Server - This is a server that processes and manages customer information and past transaction information. A server building framework such as Flask is used.

[0860] 3. Emotion Engine - Software that analyzes the salesperson's facial expressions and voice data to recognize their emotional state. It uses the EmotionRecognition library.

[0861] 4. Database - A collection of information that manages face information, business card information, customer information, and past interaction information. For example, MySQL or SQLite is used.

[0862] In this system, a salesperson first puts on smart glasses and begins interacting with a customer. The camera function is used to capture an image of the customer's face. The captured image is then sent from the smart glasses to a central server. The server analyzes the received image and compares it with facial information stored in a database. If a match is found, the server searches for related customer information and past interaction information, which are then sent to the smart glasses for display.

[0863] If the customer is a new customer, the salesperson scans the business card with the smart glasses' camera. The card image is sent to a server, and the card information is extracted using OCR technology. This business card information is stored in a database and linked to the customer's facial information. This allows information about new customers to be quickly retrieved on subsequent visits.

[0864] Furthermore, the system monitors the emotional state of salespeople in real time. The emotion engine analyzes facial expressions and voice data, and if it detects a stressful situation, it offers relaxation suggestions and simple operation guidance.

[0865] For example, when a repeat customer visits a store, the smart glasses will display the customer's previous purchases and preferred styles. If a salesperson is feeling stressed, the glasses will display relaxation suggestions, improving the quality of customer service.

[0866] Below are some examples of prompts that can be input to a real generative AI model:

[0867] "A customer wears smart glasses and enters a store. The glasses capture the salesperson's facial expressions and voice data, analyze them in real time, and display customer information and past purchase history. Also, if the salesperson is feeling stressed, they should be shown relaxation suggestions."

[0868] In this way, the system of the present invention improves the efficiency of customer service in physical stores, reducing the burden on sales staff while providing high-quality service.

[0869] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0870] Step 1:

[0871] The user puts on the smart glasses and begins interacting with a customer. The camera on the smart glasses captures an image of the customer's face.

[0872] Input: Customer's face image

[0873] Output: Face image file

[0874] What it does: The smart glasses camera takes a picture of the customer's face and generates an image file.

[0875] Step 2:

[0876] The device sends the captured facial image to a central server.

[0877] Input: Face image file

[0878] Output: Facial image data sent to the server

[0879] Specific operation: The device sends a facial image via the Internet to a specific API on a central server.

[0880] Step 3:

[0881] The server analyzes the received facial image and compares it with facial information stored in a database.

[0882] Input: Facial image data sent to the server

[0883] Output: Customer Identification Information

[0884] What it does: The server uses facial recognition software to analyze the facial image and match it with existing facial information in a database to find a match.

[0885] Step 4:

[0886] The server searches for matching customer information and past transaction information and transmits that information to the user's terminal.

[0887] Input: Customer Identification Information

[0888] Output: Relevant customer information and past interactions

[0889] Specific operation: The server extracts relevant information from the database and sends it to the user's device.

[0890] Step 5:

[0891] Past interaction information received on the user's device is displayed on the smart glasses.

[0892] Input: Relevant customer information and past interactions

[0893] Output: Information displayed on the smart glasses display

[0894] Specific operation: The device analyzes the received data and displays customer information on the smart glasses display.

[0895] Step 6:

[0896] If the user is a new customer, they scan their business card with the smart glasses' camera.

[0897] Input: Business card image

[0898] Output: Business card image file

[0899] Specific operation: Take a photo of a business card using the smart glasses camera and generate an image file.

[0900] Step 7:

[0901] The smart glasses send the business card image to a server, which then uses OCR technology to extract the business card information.

[0902] Input: Business card image file

[0903] Output: Business card information in text format

[0904] Specific operation: The terminal sends the business card image to the server, and the server extracts the text data using OCR software.

[0905] Step 8:

[0906] The server stores the extracted business card information in a database and links it to facial information.

[0907] Input: Business card information in text format

[0908] Output: Customer information and face information link stored in the database

[0909] Specific operation: The server adds the business card information to the database and links it to the facial information.

[0910] Step 9:

[0911] The emotion engine analyzes the user's facial image and voice data to recognize their emotional state.

[0912] Input: Facial video and audio data

[0913] Output: Emotional state identification result

[0914] Specific operation: The emotion engine performs facial expression and voice analysis to recognize the user's emotional state.

[0915] Step 10:

[0916] Based on the emotional state analyzed by the emotion engine, the server provides appropriate information and suggests operating methods.

[0917] Input: Emotional state identification result

[0918] Output: Relaxation suggestions and operation guide

[0919] Specific operation: Based on the results of the emotion engine, the server sends optimized response methods and relaxation suggestions to the device.

[0920] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0921] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0922] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0923] [Third embodiment]

[0924] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0925] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0926] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0927] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0928] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0929] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0930] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0931] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0932] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0933] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0934] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0935] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0936] This invention is a system that provides customer information and past interaction information in real time by linking smart glasses worn by users with a server. The "user" acquires a customer's facial image through the smart glasses, which is then sent to the server. The server analyzes the facial image and compares it with facial information stored in a database. If a match is found, the server searches for related interaction information and sends it to the user's smart glasses.

[0937] Program processing explanation

[0938] Acquiring and sending face images

[0939] The user wears the smart glasses and engages in business negotiations with customers. The device (smart glasses) captures the customer's facial image through a camera and sends the image to a server.

[0940] Facial image analysis and customer identification

[0941] The server analyzes the received facial image and compares it with facial information stored in a database. If a match is found, the server searches for related customer information and past interaction information. The search results are then sent from the server to the user's smart glasses.

[0942] Acquiring and linking business card information

[0943] For new customers, the user scans their business card with the smart glasses. The device sends the image to a server, which uses OCR technology to extract the card information. The extracted card information is stored in a database and linked to the customer's facial information.

[0944] Real-time information provision

[0945] Users can view past transaction information displayed on the smart glasses screen. If needed during a transaction, they can request additional information using voice commands or the touch panel. The device sends this request to the server, which then searches for the additional information and sends it back to the device. This allows users to access the information they need in real time.

[0946] Specific examples

[0947] For example, when a user meets with Customer X for a new business meeting, the user captures the face of Customer X through smart glasses. The facial image is sent from the device to the server, which then initiates the matching process. If there is no matching face information, the user scans Customer X's business card with the smart glasses, and the business card information is sent to the server. The server then uses OCR technology to extract the business card information and stores it in a database.

[0948] If the user has previously conducted business negotiations with Customer X, the facial image matching is successful, and the server searches for Customer X's past interaction information and sends it to the user's device. This information is displayed on the smart glasses' display, allowing the user to proceed with the conversation while checking the necessary background information during the negotiation. If additional information is needed, the user can request information search using voice commands. The information is then displayed on the smart glasses in real time, improving the efficiency of the negotiation.

[0949] This allows users to compensate for declining memory while achieving high business performance.

[0950] The processing flow will be explained below.

[0951] Step 1:

[0952] The user wears the smart glasses and captures the customer's face with the camera, and the device acquires the captured facial image data.

[0953] Step 2:

[0954] The device then sends the acquired facial image data to the server. At this time, the data is sent securely via data encryption and transfer protocols.

[0955] Step 3:

[0956] The server runs a facial recognition algorithm to analyze the received facial image data, specifically extracting facial features and matching them with an existing database.

[0957] Step 4:

[0958] The server compares the received facial image data with the facial information stored in the database to see if they match.

[0959] Step 5:

[0960] The server retrieves matching customer information from a database, which includes past interactions and business card information.

[0961] Step 6:

[0962] The server then sends the extracted customer information and past transaction information to the device, where the data is re-encrypted and transmitted securely.

[0963] Step 7:

[0964] The device displays the received customer information and past transaction information on the smart glasses display, allowing users to check the information in real time.

[0965] Step 8:

[0966] If the user needs more detailed information, they can request additional information via voice commands or the smart glasses' touch panel.

[0967] Step 9:

[0968] The device sends the user's request to the server, where the communication data is also encrypted and transmitted securely.

[0969] Step 10:

[0970] The server receives requests to retrieve additional information and re-searches the database, such as the status of a particular project or the contents of past emails.

[0971] Step 11:

[0972] The server sends the search results to the device, which displays them on the smart glasses display, allowing the user to access more detailed information.

[0973] Step 12:

[0974] After the business meeting is over, the user inputs the details of the meeting and important points into the smart glasses, which then transmits this information to the server.

[0975] Step 13:

[0976] The server stores the new business details in a database for future reference. In this way, all data is centrally managed and available for future use.

[0977] Example 1

[0978] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0979] In conventional business negotiations, it has been difficult to quickly and accurately obtain information about customers. Particularly when negotiating with new customers, the process of registering customer information in a database is cumbersome, making it difficult to obtain necessary information in real time during a negotiation. Furthermore, it is difficult to quickly refer to information about past interactions with customers, which reduces the efficiency of business negotiations.

[0980] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0981] In this invention, the server includes: means for acquiring a facial image of a person input by a user; means for transmitting the acquired facial image to the server; means for the server to analyze the facial image and compare it with facial information stored in a database; means for the server to search for past interaction information about the matching person and transmit the information from the server to the user's terminal; means for displaying the past interaction information received on the user's terminal; means for scanning business card information with smart glasses in the case of a new customer; means for transmitting the business card image to the server; means for the server to extract business card information from the business card image and link it to facial information; means for requesting additional information via voice commands during a business meeting; and means for searching for the additional information based on the request and displaying it in real time. This enables rapid acquisition of customer information, efficient registration of business card information, and real-time reference to necessary information.

[0982] A "user" is a person who uses this system to obtain customer information and conduct business negotiations.

[0983] "Terminal" refers to the smart glasses worn by the user and the accompanying devices, which are devices that capture facial images and display information.

[0984] A "server" is a computer system that analyzes facial images, collates data, and searches for and transmits information.

[0985] A "face image" is image data of a customer's face that a user captures using smart glasses during a business meeting.

[0986] A "database" is an information management system that stores customer information, facial information, business card information, and past transaction information.

[0987] "Business card information" refers to data such as the name, company name, job title, and contact information written on a customer's business card.

[0988] "OCR technology" is an abbreviation for optical character recognition technology, which is a technology that extracts text information from scanned business card images.

[0989] A "voice command" is an input means that allows a user to give instructions to a system using voice.

[0990] "Real-time information" is information that a user needs immediately during a business negotiation, and is data that is acquired and displayed on the spot.

[0991] "Customer information" refers to all data related to business negotiations, such as the customer's personal information, history of past interactions, and business card information.

[0992] The present invention is a system that provides customer information and past transaction information in real time by linking smart glasses worn by users with a server. This system is realized through the following steps.

[0993] System configuration

[0994] The system uses the following hardware and software:

[0995] Smart glasses (device)

[0996] server

[0997] Database

[0998] OCR software (e.g., Tesseract)

[0999] Image analysis software (e.g., OpenCV)

[1000] Program processing explanation

[1001] Acquiring and sending face images

[1002] The user wears the smart glasses and engages in business negotiations with customers. The device (smart glasses) captures the customer's facial image via a camera and sends the image to a server. This allows the user to take a photo of the customer's face without any stress.

[1003] Facial image analysis and customer identification

[1004] The server analyzes the received facial image and compares it with facial information stored in a database using image analysis software. If a match is found, the server retrieves related customer information and past interaction information and sends it to the user's smart glasses.

[1005] Acquiring and linking business card information

[1006] For new customers, the user scans their business card with the smart glasses. The device sends the image to the server, which then uses OCR technology to extract the card information. The extracted card information is stored in a database and linked to the customer's facial information.

[1007] Real-time information provision

[1008] Users can view past transaction information displayed on the smart glasses screen. If needed during a transaction, they can request additional information using voice commands or the touch panel. The device sends this request to the server, which then searches for the additional information and sends it back to the device. This allows users to access the information they need in real time.

[1009] Specific operation explanation

[1010] For example, when a user has a new business meeting with Customer X, the camera on the smart glasses automatically detects and captures the customer's face. The image is immediately sent to the server, which then initiates the facial recognition process. If there is no matching face information, the user can scan Customer X's business card with the smart glasses, and the business card information is sent to the server. The server then uses OCR technology to extract the business card information and store it in a database.

[1011] As the business negotiation progresses, if the user has previously conducted business negotiations with Customer X, the facial image matching will be successful, and the server will search for information on past interactions with Customer X and send it to the user's device. This information will be displayed on the smart glasses' display, allowing the user to proceed with the conversation while checking the necessary background information during the negotiation.

[1012] Prompt Sentence Examples

[1013] "Please explain the facial image matching system for displaying customer information in real time. Please include specific processing steps."

[1014] "Please explain in detail how the system works, which uses smart glasses to capture customer facial images, send them to a server, and retrieve past interaction information."

[1015] "Please provide a detailed explanation of the system, including the process of extracting business card information using OCR technology and storing it in a database."

[1016] The present invention allows users to compensate for declining memory and achieve high business performance, and also improve the efficiency of business negotiations.

[1017] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1018] Step 1:

[1019] Acquiring a face image

[1020] A user wears smart glasses and engages in business negotiations with a customer. When the user points the smart glasses at the customer's face, the camera on the device (smart glasses) captures an image of the customer's face. The input is the customer's facial image captured through the camera, and the output is image data stored in a temporary storage area within the smart glasses.

[1021] Step 2:

[1022] Sending a face image

[1023] The device transmits the captured facial image to the server in real time. The input is the facial image data stored in the device's temporary storage area, and the output is the image data sent to the server. Specifically, the data is transferred using Wi-Fi or mobile networks.

[1024] Step 3:

[1025] Facial image analysis and matching

[1026] The server analyzes the received facial image using image analysis software (e.g., OpenCV). The input is the customer's facial image sent to the server, and the output is the analyzed feature data. The server compares this feature data with the facial information stored in the database. This involves a comparison of multiple feature values.

[1027] Step 4:

[1028] Search for customer information

[1029] When the server finds a matching face, it searches the database for related customer information and past interaction information. The input is the successfully matched customer ID, and the output is related customer information and interaction history information. SQL queries and other methods are used to process the data.

[1030] Step 5:

[1031] Sending customer information

[1032] The search results are sent from the server to the user's smart glasses. The input is the customer information searched on the server, and the output is the data sent to the smart glasses, which is also sent via Wi-Fi or mobile networks.

[1033] Step 6:

[1034] View customer information

[1035] The terminal displays the received information on the smart glasses display. The input is customer information sent from the server, and the output is information provided visually to the user. The user can confirm this information and proceed with the business negotiation.

[1036] Step 7:

[1037] Scanning new customer business cards

[1038] For new customers, the user scans their business card with the smart glasses: the input is the physical business card, and the output is the image data captured by the smart glasses.

[1039] Step 8:

[1040] Sending business card images

[1041] The terminal sends the scanned business card image to the server. The input is the image data of the scanned business card, and the output is the data sent to the server.

[1042] Step 9:

[1043] OCR analysis and storage of business card information

[1044] The server uses OCR software (e.g., Tesseract) to extract business card information from the business card image. The input is the submitted business card image, and the output is the extracted text information. The server stores this in a database and links it to the facial information.

[1045] Step 10:

[1046] Requesting additional information via voice command

[1047] If additional information is needed during a business meeting, the user can use the voice recognition function of the smart glasses to request search for additional information. The input is the user's voice command, and the output is text data of the voice command.

[1048] Step 11:

[1049] Server retrieval of additional information

[1050] The server retrieves additional information from a database based on the user's request, where the input is a voice command requesting additional information in text form, and the output is the retrieved data.

[1051] Step 12:

[1052] Sending additional information

[1053] The search results are sent back from the server to the smart glasses. The input is the additional information retrieved from the server, and the output is the data sent to the smart glasses. This process also takes place over Wi-Fi or mobile networks.

[1054] Step 13:

[1055] Viewing Additional Information

[1056] The device then displays the additional information it receives on the smart glasses display. The input is the additional information sent from the server, and the output is the information visually presented to the user. The user can use this information to further advance business negotiations.

[1057] (Application example 1)

[1058] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1059] Conventional customer service systems have the problem of being unable to quickly obtain customer information or provide real-time information on past interactions. Furthermore, for new customers, the acquisition and linking of business card information is done manually, which is inefficient and time-consuming. Furthermore, when salespeople are actually walking around and interacting with customers, there is a lack of a way to obtain the necessary information in real time.

[1060] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1061] In this invention, the server includes: means for acquiring a facial image of a person input by a user; means for transmitting the acquired facial image to the server; means for the server to analyze the facial image and compare it with facial information stored in a database; means for the server to search for past interaction information about the matching person and transmit that information from the server to the user's terminal; means for displaying the past interaction information received on the user's terminal; means for the user to acquire facial images of customers in real time while walking around 360 degrees; and means for scanning business card information provided by new customers with smart glasses and transmitting the business card image to the server. This enables rapid acquisition of customer information and provision of past interaction information in real time, enabling efficient acquisition and linking of business card information even for new customers. Furthermore, it also enables necessary information to be acquired and provided in real time even when a salesperson is actually walking around and interacting with customers.

[1062] A "user" is a person who operates the system and interacts with customers.

[1063] A "face image" is an image of a person's face that is acquired by a user in order to identify a specific person.

[1064] A "server" is a computer system that analyzes facial images, searches a database, and provides the necessary information to the user's terminal.

[1065] A "database" is a data storage device for storing customer facial information, past interaction information, business card information, etc.

[1066] "Smart glasses" are eyeglass-type devices worn by users that are equipped with functions such as a camera and a display.

[1067] A "business card image" is an image of a business card provided by a new customer scanned with smart glasses.

[1068] "OCR (Optical Character Recognition)" is a technology that analyzes characters in an image and converts them into text data.

[1069] "Past transaction information" refers to historical information such as conversations and transactions that have taken place with a customer.

[1070] A "voice command" is a means by which a user can give instructions to a system by voice.

[1071] A "touch panel" is an input device that users can touch to operate the device, and is sometimes installed in smart glasses.

[1072] The system for implementing this invention is configured using smart glasses, a server, a database, and OCR technology to provide customer information in real time. The main processing is as follows.

[1073] System Configuration

[1074] 1. Smart Glasses:

[1075] Smart glasses are glasses-like devices worn by users and equipped with a camera and display. They capture images of customers' faces and business cards and send them to a server. They can also be operated by voice commands or via touch panel input.

[1076] 2. Server:

[1077] It analyzes and matches facial images, searches for past interaction information, etc. The server accesses the database and sends the necessary information to the user's smart glasses.

[1078] 3. Database:

[1079] Stores face information, business card information, past interaction information, etc. It is accessed when the server searches for information.

[1080] 4. OCR technology:

[1081] A technology that extracts text information from business card images captured by smart glasses. The extracted information is stored in a database.

[1082] Processing flow

[1083] 1. Acquire and send face image:

[1084] The user wears the smart glasses and captures the customer's facial image with the camera, which is then sent to the server.

[1085] 2. Facial image analysis and customer identification:

[1086] The server analyzes the received facial image and compares it with the facial information stored in the database. If the match is successful, it searches for past interaction information and sends it to the user's smart glasses.

[1087] 3. Acquisition and linking of business card information:

[1088] For new customers, the user scans their business card with the smart glasses. The server receives the card image and uses OCR technology to extract the card information. The extracted information is stored in a database and linked to the face information.

[1089] 4. Real-time information provision:

[1090] Users can view past interaction information displayed on the smart glasses. If necessary, they can request additional information using voice commands or the touch panel. The server retrieves the requested information and sends it to the smart glasses.

[1091] Specific examples

[1092] Consider a scenario in which a salesperson walks around a physical store and interacts with customers. The salesperson wears smart glasses and captures a facial image of a customer visiting for the first time. The server analyzes the facial image and displays any past interaction information on the smart glasses' display. For new customers, the salesperson scans their business card and uses OCR technology to store the information in a database. If a customer asks about a specific product, the salesperson can request additional information using voice commands on the smart glasses, which are then displayed in real time.

[1093] Prompt Sentence Examples

[1094] "Generate the following code: A Python program that captures facial images with smart glasses, sends them to a server, and retrieves customer information in real time. For new customers, scan their business cards, extract the information, and link it to the facial information."

[1095] This allows for a concrete embodiment of the invention and improves the efficiency of customer service.

[1096] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1097] Step 1:

[1098] A user wears smart glasses and walks around a physical store. The smart glasses' camera captures facial images of customers. The captured facial images are temporarily stored in the smart glasses.

[1099] Input: Customer's face image

[1100] Output: Temporarily saved face image data

[1101] Step 2:

[1102] The smart glasses transmit the captured facial images to the server, where they are compressed in an appropriate format (e.g., JPEG) to improve communication efficiency.

[1103] Input: Temporarily saved face image data

[1104] Output: Facial image data sent to the server

[1105] Step 3:

[1106] The server analyzes the received facial image, extracts feature points from the image using a facial recognition algorithm, and matches them with facial information stored in a database.

[1107] Input: Transmitted face image data

[1108] Data processing: Feature point extraction and database matching using face recognition algorithms

[1109] Output: Whether or not there is a matching face and related customer information

[1110] Step 4:

[1111] If the match is successful, the server searches the database for past interaction information and sends it to the user's smart glasses. If the match is unsuccessful, the server notifies the user.

[1112] Input: Matching face information

[1113] Data calculation: Searching for past transaction information

[1114] Output: Past interaction information or failure notification

[1115] Step 5:

[1116] The user's smart glasses display the received past interaction information on the screen, providing the user with necessary context while engaging in a conversation with a customer.

[1117] Input: Past communication information

[1118] Output: Information displayed on the smart glasses display

[1119] Step 6:

[1120] For new customers, the user scans the customer's business card with the smart glasses, which then send the image to the server.

[1121] Input: Business card image

[1122] Output: Business card image data sent to the server

[1123] Step 7:

[1124] The server uses OCR technology to extract text information from the received business card image, which is then stored in a database and linked to the customer's facial information.

[1125] Input: Business card image data

[1126] Data processing: Text information extraction using OCR

[1127] Output: Business card information stored in the database

[1128] Step 8:

[1129] If the user needs additional information, they can request it using voice commands or the touch panel of the smart glasses, which then send the request to the server.

[1130] Input: Voice command or touch panel input

[1131] Output: Request for more information sent to the server

[1132] Step 9:

[1133] The server retrieves the requested additional information from its database and sends it to the user's smart glasses.

[1134] Input: Request for additional information

[1135] Data Calculation: Searching for Additional Information

[1136] Output: Additional information sent to the smart glasses

[1137] Step 10:

[1138] The user's smart glasses will then display the additional information in real time, allowing the user to take appropriate action based on that information.

[1139] Input: Additional Information

[1140] Output: Additional information displayed on the smart glasses display

[1141] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1142] The present invention is a system that acquires and displays information necessary for a user wearing smart glasses during business negotiations with a customer in real time. In addition, by combining this with an emotion engine, it is possible to recognize the user's emotions and provide appropriate information and operation methods according to the emotions. Specific embodiments of the system are described below.

[1143] The system of the present invention comprises the following components:

[1144] 1. Smart glasses (device)

[1145] 2. Central Server

[1146] 3. Emotion Engine

[1147] 4. Database

[1148] System program processing explanation

[1149] Acquiring and sending face images

[1150] When a user wears the smart glasses and starts a business meeting with a customer, the device captures an image of the customer's face through the camera, and the image is sent from the device to a server.

[1151] Facial image analysis and customer identification

[1152] The server analyzes the received facial image and compares it with facial information stored in a database. If a match is found, the server searches for related customer information and past interaction information and sends it to the device.

[1153] Acquiring and linking business card information

[1154] If the user is a new customer, they scan their business card with the smart glasses. The device sends the business card image to the server, which uses OCR technology to extract the card information. The extracted business card information is stored in a database and linked to the customer's facial information.

[1155] Real-time information provision

[1156] The customer information and past interaction information sent by the server to the user's device are displayed on the device's smart glasses. The user can check this information as they proceed with the conversation. If the user requests additional information using voice commands or the touch panel, the request is sent from the device to the server, which searches for the additional information and sends the results to the device.

[1157] Emotion Engine Operation

[1158] The emotion engine analyzes the user's facial expressions and voice to recognize their emotions. This information is sent to the server, which then provides optimized information based on the user's emotional state. For example, if the user is feeling stressed, the system will provide relaxation suggestions and simple operation guides.

[1159] Specific examples

[1160] 1. When a user initiates a new business deal with Customer Y:

[1161] The user captures the face of customer Y through the smart glasses, and the device sends the facial image to the server.

[1162] The server performs facial recognition, and if there is no match, the user scans Customer Y's business card.

[1163] The server extracts the business card information using OCR, links it to facial information, and stores it in a database.

[1164] At the same time, the emotion engine recognizes the user's emotions and displays relaxed suggestions and concise information.

[1165] 2. When the user reschedules with Customer Z:

[1166] The facial image is sent to the server and matched with information previously stored in the database.

[1167] The server searches for past business negotiation details and related interaction information and sends it to the terminal.

[1168] The user checks the displayed information and, if more specific information is needed, issues a voice command.

[1169] The emotion engine monitors the user's stress level and provides support when needed.

[1170] In this way, the system of the present invention manages customer information and provides information in real time, while providing appropriate support according to the user's emotional state, thereby improving the efficiency of business negotiations and reducing the burden on the user.

[1171] The processing flow will be explained below.

[1172] Step 1:

[1173] The user wears the smart glasses during a business meeting, and the device uses its built-in camera to capture the face of the person they are meeting with.

[1174] Step 2:

[1175] The device then sends the acquired facial image data to a server, where encryption technology is used to ensure the security of the data.

[1176] Step 3:

[1177] The server applies a facial recognition algorithm to analyze the received facial image, extracting facial features and matching them with facial information stored in a database.

[1178] Step 4:

[1179] The server compares the acquired facial image with the facial information stored in the database and identifies matching customer information.

[1180] Step 5:

[1181] The server searches a database for past transaction information for matching customers and transmits it to the user's terminal.

[1182] Step 6:

[1183] The device then displays the received customer information and past transaction information on the smart glasses display, allowing the user to proceed with the business negotiation while checking this information.

[1184] Step 7:

[1185] When a user receives a business card from a business partner, they scan it using the smart glasses, and the device sends the scanned image of the card to the server.

[1186] Step 8:

[1187] The server analyzes the business card image and uses OCR technology to extract business card information (name, position, company name, contact information).

[1188] Step 9:

[1189] The server links the extracted business card information with facial information and stores it in a database.

[1190] Step 10:

[1191] During a sales meeting, if the user requires additional information, they can request it using voice commands or the touch panel on the smart glasses.

[1192] Step 11:

[1193] The terminal sends the user's request to the server, which again searches the database to find the additional information requested.

[1194] Step 12:

[1195] The server sends the search results to the device, which then displays the information on the smart glasses in real time.

[1196] Step 13:

[1197] The emotion engine analyzes the user's facial expressions and voice to recognize their emotional state, and provides appropriate information and operational support based on that state.

[1198] Step 14:

[1199] If the user is feeling stressed, the emotion engine will suggest relaxation methods and provide simple operating instructions.

[1200] Step 15:

[1201] After the business meeting is over, the user inputs the details of the meeting and important points into the smart glasses, which then transmits this information to the server.

[1202] Step 16:

[1203] The server analyzes the newly entered business details and adds them to the customer's database entry, making them available as reference for future business negotiations.

[1204] Example 2

[1205] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1206] Current sales negotiation support systems place a heavy burden on users, as they must manually acquire and manage customer information. They also struggle to provide appropriate information in real time during sales negotiations, and lack support tailored to the user's emotional state. This makes it particularly difficult to provide appropriate support to new customers on the first meeting, potentially reducing the quality and efficiency of sales negotiations.

[1207] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for acquiring a facial image of a person input by a user, means for transmitting the acquired facial image, means for analyzing the facial image and comparing it with facial information stored in a database, means for searching for and transmitting past interaction information about the matching person, means for displaying information on the user's terminal, an emotion engine for analyzing and recognizing emotions, and means for providing information and operation guides based on the emotions. This allows the user to check customer information in real time during a business negotiation, take appropriate action, and receive support according to their emotional state.

[1208] A "user" is a person who operates the system and conducts business negotiations.

[1209] A "terminal" is an electronic device that is worn by a user, such as smart glasses.

[1210] A "server" is a central processing unit that analyzes facial images and searches for customer information.

[1211] A "face image" is image data of a person's face captured through a camera.

[1212] A "database" is an information management system that stores customer information, past transaction information, business card information, etc.

[1213] An "emotion engine" is a software or hardware component that analyzes a user's facial expressions and voice to recognize their emotional state.

[1214] A "business card" is a piece of paper that contains a customer's contact information.

[1215] "OCR technology" is an optical character recognition technology that extracts text data from image data.

[1216] "Real-time information provision" is a function that instantly displays relevant information to the user during a business negotiation.

[1217] A "voice command" is an operation instruction that a user inputs to a system using voice.

[1218] A "touch panel" is a display device that a user can directly operate using a finger or a stylus.

[1219] This invention is a system that acquires and displays information necessary for a user wearing smart glasses in real time when negotiating with a customer. Furthermore, by combining it with an emotion engine, it is possible to recognize the user's emotions and provide appropriate information and operation methods according to the emotions. The system of this invention is composed of the following components: smart glasses (terminal), central server, emotion engine, and database.

[1220] Acquiring and sending face images

[1221] When a user wears smart glasses and starts a business meeting with a customer, the device captures an image of the customer's face using a camera. This facial image is then sent from the device to a server. The camera used here is a high-resolution camera built into the smart glasses, and its image processing speed is fast, making it possible to send data in real time.

[1222] Facial image analysis and customer identification

[1223] The server uses facial recognition algorithms such as OpenCV and FaceNet to analyze the received facial images, compares the analyzed facial images with facial information stored in a database, and if a match is found, retrieves related customer information and past interaction information and sends it to the device.

[1224] Acquiring and linking business card information

[1225] If the user is a new customer, they scan their business card with the smart glasses, and the OCR technology used (e.g., Tesseract OCR) extracts text data from the card image, stores that information in a database, and links it to the customer's facial information.

[1226] Real-time information provision

[1227] The customer information and past interaction information sent by the server to the user's device are displayed in real time on the smart glasses' display. The user can check this information while continuing the conversation. If the user requests additional information using voice commands or the touch panel, the request is sent from the device to the server, and the server searches for the additional information and sends the results to the device.

[1228] Emotion Engine Operation

[1229] The emotion engine analyzes the user's facial expressions and voice to recognize their emotions in real time. This information is sent to the server, which then provides optimized information based on the user's emotional state. For example, if the user is feeling stressed, the emotion engine will suggest relaxation techniques and provide simple operation guides.

[1230] Specific examples

[1231] When a user initiates a new business negotiation with Customer Y

[1232] The user captures the face of customer Y through the smart glasses, and the device sends the facial image to the server.

[1233] The server performs facial recognition, and if there is no match, the user scans Customer Y's business card.

[1234] The server extracts the business card information using OCR, links it to facial information, and stores it in a database.

[1235] At the same time, the emotion engine recognizes the user's emotions and displays relaxed suggestions and concise information.

[1236] When the user negotiates with Customer Z again

[1237] The facial image is sent to the server and matched with information previously stored in the database.

[1238] The server searches for past business negotiation details and related interaction information and sends it to the terminal.

[1239] The user checks the displayed information and, if more specific information is needed, issues a voice command.

[1240] The emotion engine monitors the user's stress level and provides support when needed.

[1241] An example of a prompt to be input to the generative AI model is, "When a user starts a business meeting with a new customer, please tell me how to capture a facial image, obtain business card information, provide information in real time, and utilize the emotion engine to support the user."

[1242] In this way, the system of the present invention manages customer information and provides information in real time, while providing appropriate support according to the user's emotional state, thereby improving the efficiency of business negotiations and reducing the burden on the user.

[1243] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1244] Step 1:

[1245] The user puts on the smart glasses and turns them on.

[1246] Input: Press the power button on your smart glasses.

[1247] Output: The smart glasses start up and the system is ready. The initial screen is displayed on the smart glasses screen.

[1248] Step 2:

[1249] The user launches the dedicated application and begins negotiations.

[1250] Enter: Tap the application's launch icon.

[1251] Output: The application launches, the camera is ready to capture the customer's face image, and the screen displays Ready to begin the transaction.

[1252] Step 3:

[1253] The device captures the customer's facial image through the camera and sends the data to the server.

[1254] Input: Customer's face comes into camera range.

[1255] Output: The captured facial image is sent to the server in real time, and the facial image data is stored on the server.

[1256] Step 4:

[1257] The server analyzes the received facial image and compares it with facial information stored in a database.

[1258] Input: Facial image data sent to the server.

[1259] Data processing / calculation: Analyze facial images using OpenCV and FaceNet and extract feature points.

[1260] Output: Customer information that matches the facial image feature data is searched for. The server retrieves the customer information.

[1261] Step 5:

[1262] The server searches for matching customer information and past transaction information and sends it to the terminal.

[1263] Input: Matching customer information data.

[1264] Data processing / calculation: Search for customer information and related past interactions.

[1265] Output: The searched information is sent to the terminal, which displays the customer information and past interactions.

[1266] Step 6:

[1267] If the user is a new customer, they scan their business card with the smart glasses.

[1268] Input: The user holds a business card up to the smartglasses' camera.

[1269] Output: The business card image data is sent to the server and saved on the server.

[1270] Step 7:

[1271] The server extracts the business card information from the business card image, stores it in a database, and links it to the customer's facial information.

[1272] Input: Business card image data.

[1273] Data processing / calculation: Business card information is converted into text data using Tesseract OCR.

[1274] Output: The extracted business card information is saved in a database and linked to the face information. The customer information is updated in the database.

[1275] Step 8:

[1276] The server accepts voice commands or touch panel inputs requesting additional information and processes the requests.

[1277] Input: The user requests additional information via voice command or touch panel.

[1278] Output: A request for additional information is sent to the server, where it is saved.

[1279] Step 9:

[1280] The server retrieves the requested additional information and sends it to the terminal.

[1281] Input: Request data for additional information.

[1282] Data processing / calculation: Searching for additional information from databases.

[1283] Output: The retrieved additional information is sent to the device. The additional information is displayed in real time on the smart glasses.

[1284] Step 10:

[1285] The emotion engine analyzes the user's facial expressions and voice to recognize their emotional state.

[1286] Input: User's facial expression and voice data.

[1287] Data processing / calculation: Facial expression and voice analysis are performed to determine emotional state.

[1288] Output: The emotional state is sent to the server, and the server provides optimal information and operation guidance based on the emotion. Suggestions based on the user's emotion are displayed on the smart glasses.

[1289] This process flow allows users to check customer information in real time during negotiations and respond appropriately. In addition, the emotion engine reduces user stress and improves the quality of negotiations.

[1290] (Application example 2)

[1291] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1292] In brick-and-mortar stores, salespeople are required to quickly and appropriately obtain customer information while serving customers and provide support that corresponds to their emotional state. However, current technology does not adequately develop a system for obtaining and responding to customer information in real time, making it difficult to provide efficient customer service. Furthermore, the lack of appropriate information or suggestions for operation that correspond to the salesperson's emotional state can lead to stress.

[1293] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means. In this invention, the server includes means for acquiring a facial image of a person input by a user, means for transmitting the acquired facial image to the server, means for the server to analyze the facial image and compare it with facial information stored in a database, means for the server to search for past interaction information about the matching person and transmit the information from the server to the user's terminal, means for displaying the past interaction information received on the user's terminal, an emotion engine for analyzing the user's emotional state, means for suggesting appropriate information provision and operation methods according to the emotional state analyzed by the emotion engine, means for the user to scan new business card information with a visual device and transmit the business card image to the server, means for the server to extract the business card information from the business card image and store it in a database, means for linking the business card information with facial information, means for the user to input a request for additional information via a voice command or an input device, means for the terminal to transmit a request for additional information to the server, means for the server to search for the requested additional information and transmit it to the terminal, and means for the terminal to display the additional information in real time. This enables salespeople to obtain customer information in real time and receive appropriate support according to their emotional state.

[1294] "User" refers to a salesperson in a physical store who wears a visual device such as smart glasses and deals with customers.

[1295] A "facial image" is a still image or a portion of a video that captures a customer's face and is used for personal identification.

[1296] "Server" refers to a central processing unit that analyzes facial images and business card information, compares them with information stored in a database, and provides the results to the user's terminal.

[1297] A "database" is a collection of information that the server accesses and manages stored face information, customer information, business card information, and related interaction information.

[1298] An "emotion engine" refers to software or a system that analyzes the facial expressions and voice of users or customers to recognize their emotional state.

[1299] "Real-time information provision" refers to the process in which a server retrieves information instantly in response to a user's request and provides it to the user's terminal.

[1300] A "visual device" is a device that displays visual information, such as smart glasses or a head-mounted display worn by a user.

[1301] "Business card information" refers to text information and contact information extracted from business cards, and is data that is managed in conjunction with customer facial information.

[1302] A "voice command" is an instruction given by voice by a user, and is a means of requesting the system to perform operations such as searching for information or providing additional information.

[1303] "Additional information" is information that the user desires, including more detailed customer information, past interactions, and related suggestions.

[1304] The present invention is a system that can be used when sales staff wear smart glasses to serve customers in brick-and-mortar stores. How to implement this system in detail will be described below.

[1305] The system consists of the following major hardware and software components:

[1306] 1. Smart glasses (terminal) - A device worn by sales staff that has camera and display functions.

[1307] 2. Central Server - This is a server that processes and manages customer information and past transaction information. A server building framework such as Flask is used.

[1308] 3. Emotion Engine - Software that analyzes the salesperson's facial expressions and voice data to recognize their emotional state. It uses the EmotionRecognition library.

[1309] 4. Database - A collection of information that manages face information, business card information, customer information, and past interaction information. For example, MySQL or SQLite is used.

[1310] In this system, a salesperson first puts on smart glasses and begins interacting with a customer. The camera function is used to capture an image of the customer's face. The captured image is then sent from the smart glasses to a central server. The server analyzes the received image and compares it with facial information stored in a database. If a match is found, the server searches for related customer information and past interaction information, which are then sent to the smart glasses for display.

[1311] If the customer is a new customer, the salesperson scans the business card with the smart glasses' camera. The card image is sent to a server, and the card information is extracted using OCR technology. This business card information is stored in a database and linked to the customer's facial information. This allows information about new customers to be quickly retrieved on subsequent visits.

[1312] Furthermore, the system monitors the emotional state of salespeople in real time. The emotion engine analyzes facial expressions and voice data, and if it detects a stressful situation, it offers relaxation suggestions and simple operation guidance.

[1313] For example, when a repeat customer visits a store, the smart glasses will display the customer's previous purchases and preferred styles. If a salesperson is feeling stressed, the glasses will display relaxation suggestions, improving the quality of customer service.

[1314] Below are some examples of prompts that can be input to a real generative AI model:

[1315] "A customer wears smart glasses and enters a store. The glasses capture the salesperson's facial expressions and voice data, analyze them in real time, and display customer information and past purchase history. Also, if the salesperson is feeling stressed, they should be shown relaxation suggestions."

[1316] In this way, the system of the present invention improves the efficiency of customer service in physical stores, reducing the burden on sales staff while providing high-quality service.

[1317] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1318] Step 1:

[1319] The user puts on the smart glasses and begins interacting with a customer. The camera on the smart glasses captures an image of the customer's face.

[1320] Input: Customer's face image

[1321] Output: Face image file

[1322] What it does: The smart glasses camera takes a picture of the customer's face and generates an image file.

[1323] Step 2:

[1324] The device sends the captured facial image to a central server.

[1325] Input: Face image file

[1326] Output: Facial image data sent to the server

[1327] Specific operation: The device sends a facial image via the Internet to a specific API on a central server.

[1328] Step 3:

[1329] The server analyzes the received facial image and compares it with facial information stored in a database.

[1330] Input: Facial image data sent to the server

[1331] Output: Customer Identification Information

[1332] What it does: The server uses facial recognition software to analyze the facial image and match it with existing facial information in a database to find a match.

[1333] Step 4:

[1334] The server searches for matching customer information and past transaction information and transmits that information to the user's terminal.

[1335] Input: Customer Identification Information

[1336] Output: Relevant customer information and past interactions

[1337] Specific operation: The server extracts relevant information from the database and sends it to the user's device.

[1338] Step 5:

[1339] Past interaction information received on the user's device is displayed on the smart glasses.

[1340] Input: Relevant customer information and past interactions

[1341] Output: Information displayed on the smart glasses display

[1342] Specific operation: The device analyzes the received data and displays customer information on the smart glasses display.

[1343] Step 6:

[1344] If the user is a new customer, they scan their business card with the smart glasses' camera.

[1345] Input: Business card image

[1346] Output: Business card image file

[1347] Specific operation: Take a photo of a business card using the smart glasses camera and generate an image file.

[1348] Step 7:

[1349] The smart glasses send the business card image to a server, which then uses OCR technology to extract the business card information.

[1350] Input: Business card image file

[1351] Output: Business card information in text format

[1352] Specific operation: The terminal sends the business card image to the server, and the server extracts the text data using OCR software.

[1353] Step 8:

[1354] The server stores the extracted business card information in a database and links it to facial information.

[1355] Input: Business card information in text format

[1356] Output: Customer information and face information link stored in the database

[1357] Specific operation: The server adds the business card information to the database and links it to the facial information.

[1358] Step 9:

[1359] The emotion engine analyzes the user's facial image and voice data to recognize their emotional state.

[1360] Input: Facial video and audio data

[1361] Output: Emotional state identification result

[1362] Specific operation: The emotion engine performs facial expression and voice analysis to recognize the user's emotional state.

[1363] Step 10:

[1364] Based on the emotional state analyzed by the emotion engine, the server provides appropriate information and suggests operating methods.

[1365] Input: Emotional state identification result

[1366] Output: Relaxation suggestions and operation guide

[1367] Specific operation: Based on the results of the emotion engine, the server sends optimized response methods and relaxation suggestions to the device.

[1368] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1369] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1370] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1371] [Fourth embodiment]

[1372] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1373] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1374] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1375] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1376] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1377] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1378] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1379] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1380] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1381] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1382] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1383] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1384] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1385] This invention is a system that provides customer information and past interaction information in real time by linking smart glasses worn by users with a server. The "user" acquires a customer's facial image through the smart glasses, which is then sent to the server. The server analyzes the facial image and compares it with facial information stored in a database. If a match is found, the server searches for related interaction information and sends it to the user's smart glasses.

[1386] Program processing explanation

[1387] Acquiring and sending face images

[1388] The user wears the smart glasses and engages in business negotiations with customers. The device (smart glasses) captures the customer's facial image through a camera and sends the image to a server.

[1389] Facial image analysis and customer identification

[1390] The server analyzes the received facial image and compares it with facial information stored in a database. If a match is found, the server searches for related customer information and past interaction information. The search results are then sent from the server to the user's smart glasses.

[1391] Acquiring and linking business card information

[1392] For new customers, the user scans their business card with the smart glasses. The device sends the image to a server, which uses OCR technology to extract the card information. The extracted card information is stored in a database and linked to the customer's facial information.

[1393] Real-time information provision

[1394] Users can view past transaction information displayed on the smart glasses screen. If needed during a transaction, they can request additional information using voice commands or the touch panel. The device sends this request to the server, which then searches for the additional information and sends it back to the device. This allows users to access the information they need in real time.

[1395] Specific examples

[1396] For example, when a user meets with Customer X for a new business meeting, the user captures the face of Customer X through smart glasses. The facial image is sent from the device to the server, which then initiates the matching process. If there is no matching face information, the user scans Customer X's business card with the smart glasses, and the business card information is sent to the server. The server then uses OCR technology to extract the business card information and stores it in a database.

[1397] If the user has previously conducted business negotiations with Customer X, the facial image matching is successful, and the server searches for Customer X's past interaction information and sends it to the user's device. This information is displayed on the smart glasses' display, allowing the user to proceed with the conversation while checking the necessary background information during the negotiation. If additional information is needed, the user can request information search using voice commands. The information is then displayed on the smart glasses in real time, improving the efficiency of the negotiation.

[1398] This allows users to compensate for declining memory while achieving high business performance.

[1399] The processing flow will be explained below.

[1400] Step 1:

[1401] The user wears the smart glasses and captures the customer's face with the camera, and the device acquires the captured facial image data.

[1402] Step 2:

[1403] The device then sends the acquired facial image data to the server. At this time, the data is sent securely via data encryption and transfer protocols.

[1404] Step 3:

[1405] The server runs a facial recognition algorithm to analyze the received facial image data, specifically extracting facial features and matching them with an existing database.

[1406] Step 4:

[1407] The server compares the received facial image data with the facial information stored in the database to see if they match.

[1408] Step 5:

[1409] The server retrieves matching customer information from a database, which includes past interactions and business card information.

[1410] Step 6:

[1411] The server then sends the extracted customer information and past transaction information to the device, where the data is re-encrypted and transmitted securely.

[1412] Step 7:

[1413] The device displays the received customer information and past transaction information on the smart glasses display, allowing users to check the information in real time.

[1414] Step 8:

[1415] If the user needs more detailed information, they can request additional information via voice commands or the smart glasses' touch panel.

[1416] Step 9:

[1417] The device sends the user's request to the server, where the communication data is also encrypted and transmitted securely.

[1418] Step 10:

[1419] The server receives requests to retrieve additional information and re-searches the database, such as the status of a particular project or the contents of past emails.

[1420] Step 11:

[1421] The server sends the search results to the device, which displays them on the smart glasses display, allowing the user to access more detailed information.

[1422] Step 12:

[1423] After the business meeting is over, the user inputs the details of the meeting and important points into the smart glasses, which then transmits this information to the server.

[1424] Step 13:

[1425] The server stores the new business details in a database for future reference. In this way, all data is centrally managed and available for future use.

[1426] Example 1

[1427] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1428] In conventional business negotiations, it has been difficult to quickly and accurately obtain information about customers. Particularly when negotiating with new customers, the process of registering customer information in a database is cumbersome, making it difficult to obtain necessary information in real time during a negotiation. Furthermore, it is difficult to quickly refer to information about past interactions with customers, which reduces the efficiency of business negotiations.

[1429] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1430] In this invention, the server includes: means for acquiring a facial image of a person input by a user; means for transmitting the acquired facial image to the server; means for the server to analyze the facial image and compare it with facial information stored in a database; means for the server to search for past interaction information about the matching person and transmit the information from the server to the user's terminal; means for displaying the past interaction information received on the user's terminal; means for scanning business card information with smart glasses in the case of a new customer; means for transmitting the business card image to the server; means for the server to extract business card information from the business card image and link it to facial information; means for requesting additional information via voice commands during a business meeting; and means for searching for the additional information based on the request and displaying it in real time. This enables rapid acquisition of customer information, efficient registration of business card information, and real-time reference to necessary information.

[1431] A "user" is a person who uses this system to obtain customer information and conduct business negotiations.

[1432] "Terminal" refers to the smart glasses worn by the user and the accompanying devices, which are devices that capture facial images and display information.

[1433] A "server" is a computer system that analyzes facial images, collates data, and searches for and transmits information.

[1434] A "face image" is image data of a customer's face that a user captures using smart glasses during a business meeting.

[1435] A "database" is an information management system that stores customer information, facial information, business card information, and past transaction information.

[1436] "Business card information" refers to data such as the name, company name, job title, and contact information written on a customer's business card.

[1437] "OCR technology" is an abbreviation for optical character recognition technology, which is a technology that extracts text information from scanned business card images.

[1438] A "voice command" is an input means that allows a user to give instructions to a system using voice.

[1439] "Real-time information" is information that a user needs immediately during a business negotiation, and is data that is acquired and displayed on the spot.

[1440] "Customer information" refers to all data related to business negotiations, such as the customer's personal information, history of past interactions, and business card information.

[1441] The present invention is a system that provides customer information and past transaction information in real time by linking smart glasses worn by users with a server. This system is realized through the following steps.

[1442] System configuration

[1443] The system uses the following hardware and software:

[1444] Smart glasses (device)

[1445] server

[1446] Database

[1447] OCR software (e.g., Tesseract)

[1448] Image analysis software (e.g., OpenCV)

[1449] Program processing explanation

[1450] Acquiring and sending face images

[1451] The user wears the smart glasses and engages in business negotiations with customers. The device (smart glasses) captures the customer's facial image via a camera and sends the image to a server. This allows the user to take a photo of the customer's face without any stress.

[1452] Facial image analysis and customer identification

[1453] The server analyzes the received facial image and compares it with facial information stored in a database using image analysis software. If a match is found, the server retrieves related customer information and past interaction information and sends it to the user's smart glasses.

[1454] Acquiring and linking business card information

[1455] For new customers, the user scans their business card with the smart glasses. The device sends the image to the server, which then uses OCR technology to extract the card information. The extracted card information is stored in a database and linked to the customer's facial information.

[1456] Real-time information provision

[1457] Users can view past transaction information displayed on the smart glasses screen. If needed during a transaction, they can request additional information using voice commands or the touch panel. The device sends this request to the server, which then searches for the additional information and sends it back to the device. This allows users to access the information they need in real time.

[1458] Specific operation explanation

[1459] For example, when a user has a new business meeting with Customer X, the camera on the smart glasses automatically detects and captures the customer's face. The image is immediately sent to the server, which then initiates the facial recognition process. If there is no matching face information, the user can scan Customer X's business card with the smart glasses, and the business card information is sent to the server. The server then uses OCR technology to extract the business card information and store it in a database.

[1460] As the business negotiation progresses, if the user has previously conducted business negotiations with Customer X, the facial image matching will be successful, and the server will search for information on past interactions with Customer X and send it to the user's device. This information will be displayed on the smart glasses' display, allowing the user to proceed with the conversation while checking the necessary background information during the negotiation.

[1461] Prompt Sentence Examples

[1462] "Please explain the facial image matching system for displaying customer information in real time. Please include specific processing steps."

[1463] "Please explain in detail how the system works, which uses smart glasses to capture customer facial images, send them to a server, and retrieve past interaction information."

[1464] "Please provide a detailed explanation of the system, including the process of extracting business card information using OCR technology and storing it in a database."

[1465] The present invention allows users to compensate for declining memory and achieve high business performance, and also improve the efficiency of business negotiations.

[1466] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1467] Step 1:

[1468] Acquiring a face image

[1469] A user wears smart glasses and engages in business negotiations with a customer. When the user points the smart glasses at the customer's face, the camera on the device (smart glasses) captures an image of the customer's face. The input is the customer's facial image captured through the camera, and the output is image data stored in a temporary storage area within the smart glasses.

[1470] Step 2:

[1471] Sending a face image

[1472] The device transmits the captured facial image to the server in real time. The input is the facial image data stored in the device's temporary storage area, and the output is the image data sent to the server. Specifically, the data is transferred using Wi-Fi or mobile networks.

[1473] Step 3:

[1474] Facial image analysis and matching

[1475] The server analyzes the received facial image using image analysis software (e.g., OpenCV). The input is the customer's facial image sent to the server, and the output is the analyzed feature data. The server compares this feature data with the facial information stored in the database. This involves a comparison of multiple feature values.

[1476] Step 4:

[1477] Search for customer information

[1478] When the server finds a matching face, it searches the database for related customer information and past interaction information. The input is the successfully matched customer ID, and the output is related customer information and interaction history information. SQL queries and other methods are used to process the data.

[1479] Step 5:

[1480] Sending customer information

[1481] The search results are sent from the server to the user's smart glasses. The input is the customer information searched on the server, and the output is the data sent to the smart glasses, which is also sent via Wi-Fi or mobile networks.

[1482] Step 6:

[1483] View customer information

[1484] The terminal displays the received information on the smart glasses display. The input is customer information sent from the server, and the output is information provided visually to the user. The user can confirm this information and proceed with the business negotiation.

[1485] Step 7:

[1486] Scanning new customer business cards

[1487] For new customers, the user scans their business card with the smart glasses: the input is the physical business card, and the output is the image data captured by the smart glasses.

[1488] Step 8:

[1489] Sending business card images

[1490] The terminal sends the scanned business card image to the server. The input is the image data of the scanned business card, and the output is the data sent to the server.

[1491] Step 9:

[1492] OCR analysis and storage of business card information

[1493] The server uses OCR software (e.g., Tesseract) to extract business card information from the business card image. The input is the submitted business card image, and the output is the extracted text information. The server stores this in a database and links it to the facial information.

[1494] Step 10:

[1495] Requesting additional information via voice command

[1496] If additional information is needed during a business meeting, the user can use the voice recognition function of the smart glasses to request search for additional information. The input is the user's voice command, and the output is text data of the voice command.

[1497] Step 11:

[1498] Server retrieval of additional information

[1499] The server retrieves additional information from a database based on the user's request, where the input is a voice command requesting additional information in text form, and the output is the retrieved data.

[1500] Step 12:

[1501] Sending additional information

[1502] The search results are sent back from the server to the smart glasses. The input is the additional information retrieved from the server, and the output is the data sent to the smart glasses. This process also takes place over Wi-Fi or mobile networks.

[1503] Step 13:

[1504] Viewing Additional Information

[1505] The device then displays the additional information it receives on the smart glasses display. The input is the additional information sent from the server, and the output is the information visually presented to the user. The user can use this information to further advance business negotiations.

[1506] (Application example 1)

[1507] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1508] Conventional customer service systems have the problem of being unable to quickly obtain customer information or provide real-time information on past interactions. Furthermore, for new customers, the acquisition and linking of business card information is done manually, which is inefficient and time-consuming. Furthermore, when salespeople are actually walking around and interacting with customers, there is a lack of a way to obtain the necessary information in real time.

[1509] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1510] In this invention, the server includes: means for acquiring a facial image of a person input by a user; means for transmitting the acquired facial image to the server; means for the server to analyze the facial image and compare it with facial information stored in a database; means for the server to search for past interaction information about the matching person and transmit that information from the server to the user's terminal; means for displaying the past interaction information received on the user's terminal; means for the user to acquire facial images of customers in real time while walking around 360 degrees; and means for scanning business card information provided by new customers with smart glasses and transmitting the business card image to the server. This enables rapid acquisition of customer information and provision of past interaction information in real time, enabling efficient acquisition and linking of business card information even for new customers. Furthermore, it also enables necessary information to be acquired and provided in real time even when a salesperson is actually walking around and interacting with customers.

[1511] A "user" is a person who operates the system and interacts with customers.

[1512] A "face image" is an image of a person's face that is acquired by a user in order to identify a specific person.

[1513] A "server" is a computer system that analyzes facial images, searches a database, and provides the necessary information to the user's terminal.

[1514] A "database" is a data storage device for storing customer facial information, past interaction information, business card information, etc.

[1515] "Smart glasses" are eyeglass-type devices worn by users that are equipped with functions such as a camera and a display.

[1516] A "business card image" is an image of a business card provided by a new customer scanned with smart glasses.

[1517] "OCR (Optical Character Recognition)" is a technology that analyzes characters in an image and converts them into text data.

[1518] "Past transaction information" refers to historical information such as conversations and transactions that have taken place with a customer.

[1519] A "voice command" is a means by which a user can give instructions to a system by voice.

[1520] A "touch panel" is an input device that users can touch to operate the device, and is sometimes installed in smart glasses.

[1521] The system for implementing this invention is configured using smart glasses, a server, a database, and OCR technology to provide customer information in real time. The main processing is as follows.

[1522] System Configuration

[1523] 1. Smart Glasses:

[1524] Smart glasses are glasses-like devices worn by users and equipped with a camera and display. They capture images of customers' faces and business cards and send them to a server. They can also be operated by voice commands or via touch panel input.

[1525] 2. Server:

[1526] It analyzes and matches facial images, searches for past interaction information, etc. The server accesses the database and sends the necessary information to the user's smart glasses.

[1527] 3. Database:

[1528] Stores face information, business card information, past interaction information, etc. It is accessed when the server searches for information.

[1529] 4. OCR technology:

[1530] A technology that extracts text information from business card images captured by smart glasses. The extracted information is stored in a database.

[1531] Processing flow

[1532] 1. Acquire and send face image:

[1533] The user wears the smart glasses and captures the customer's facial image with the camera, which is then sent to the server.

[1534] 2. Facial image analysis and customer identification:

[1535] The server analyzes the received facial image and compares it with the facial information stored in the database. If the match is successful, it searches for past interaction information and sends it to the user's smart glasses.

[1536] 3. Acquisition and linking of business card information:

[1537] For new customers, the user scans their business card with the smart glasses. The server receives the card image and uses OCR technology to extract the card information. The extracted information is stored in a database and linked to the face information.

[1538] 4. Real-time information provision:

[1539] Users can view past interaction information displayed on the smart glasses. If necessary, they can request additional information using voice commands or the touch panel. The server retrieves the requested information and sends it to the smart glasses.

[1540] Specific examples

[1541] Consider a scenario in which a salesperson walks around a physical store and interacts with customers. The salesperson wears smart glasses and captures a facial image of a customer visiting for the first time. The server analyzes the facial image and displays any past interaction information on the smart glasses' display. For new customers, the salesperson scans their business card and uses OCR technology to store the information in a database. If a customer asks about a specific product, the salesperson can request additional information using voice commands on the smart glasses, which are then displayed in real time.

[1542] Prompt Sentence Examples

[1543] "Generate the following code: A Python program that captures facial images with smart glasses, sends them to a server, and retrieves customer information in real time. For new customers, scan their business cards, extract the information, and link it to the facial information."

[1544] This allows for a concrete embodiment of the invention and improves the efficiency of customer service.

[1545] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1546] Step 1:

[1547] A user wears smart glasses and walks around a physical store. The smart glasses' camera captures facial images of customers. The captured facial images are temporarily stored in the smart glasses.

[1548] Input: Customer's face image

[1549] Output: Temporarily saved face image data

[1550] Step 2:

[1551] The smart glasses transmit the captured facial images to the server, where they are compressed in an appropriate format (e.g., JPEG) to improve communication efficiency.

[1552] Input: Temporarily saved face image data

[1553] Output: Facial image data sent to the server

[1554] Step 3:

[1555] The server analyzes the received facial image, extracts feature points from the image using a facial recognition algorithm, and matches them with facial information stored in a database.

[1556] Input: Transmitted face image data

[1557] Data processing: Feature point extraction and database matching using face recognition algorithms

[1558] Output: Whether or not there is a matching face and related customer information

[1559] Step 4:

[1560] If the match is successful, the server searches the database for past interaction information and sends it to the user's smart glasses. If the match is unsuccessful, the server notifies the user.

[1561] Input: Matching face information

[1562] Data calculation: Searching for past transaction information

[1563] Output: Past interaction information or failure notification

[1564] Step 5:

[1565] The user's smart glasses display the received past interaction information on the screen, providing the user with necessary context while engaging in a conversation with a customer.

[1566] Input: Past communication information

[1567] Output: Information displayed on the smart glasses display

[1568] Step 6:

[1569] For new customers, the user scans the customer's business card with the smart glasses, which then send the image to the server.

[1570] Input: Business card image

[1571] Output: Business card image data sent to the server

[1572] Step 7:

[1573] The server uses OCR technology to extract text information from the received business card image, which is then stored in a database and linked to the customer's facial information.

[1574] Input: Business card image data

[1575] Data processing: Text information extraction using OCR

[1576] Output: Business card information stored in the database

[1577] Step 8:

[1578] If the user needs additional information, they can request it using voice commands or the touch panel of the smart glasses, which then send the request to the server.

[1579] Input: Voice command or touch panel input

[1580] Output: Request for more information sent to the server

[1581] Step 9:

[1582] The server retrieves the requested additional information from its database and sends it to the user's smart glasses.

[1583] Input: Request for additional information

[1584] Data Calculation: Searching for Additional Information

[1585] Output: Additional information sent to the smart glasses

[1586] Step 10:

[1587] The user's smart glasses will then display the additional information in real time, allowing the user to take appropriate action based on that information.

[1588] Input: Additional Information

[1589] Output: Additional information displayed on the smart glasses display

[1590] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1591] The present invention is a system that acquires and displays information necessary for a user wearing smart glasses during business negotiations with a customer in real time. In addition, by combining this with an emotion engine, it is possible to recognize the user's emotions and provide appropriate information and operation methods according to the emotions. Specific embodiments of the system are described below.

[1592] The system of the present invention comprises the following components:

[1593] 1. Smart glasses (device)

[1594] 2. Central Server

[1595] 3. Emotion Engine

[1596] 4. Database

[1597] System program processing explanation

[1598] Acquiring and sending face images

[1599] When a user wears the smart glasses and starts a business meeting with a customer, the device captures an image of the customer's face through the camera, and the image is sent from the device to a server.

[1600] Facial image analysis and customer identification

[1601] The server analyzes the received facial image and compares it with facial information stored in a database. If a match is found, the server searches for related customer information and past interaction information and sends it to the device.

[1602] Acquiring and linking business card information

[1603] If the user is a new customer, they scan their business card with the smart glasses. The device sends the business card image to the server, which uses OCR technology to extract the card information. The extracted business card information is stored in a database and linked to the customer's facial information.

[1604] Real-time information provision

[1605] The customer information and past interaction information sent by the server to the user's device are displayed on the device's smart glasses. The user can check this information as they proceed with the conversation. If the user requests additional information using voice commands or the touch panel, the request is sent from the device to the server, which searches for the additional information and sends the results to the device.

[1606] Emotion Engine Operation

[1607] The emotion engine analyzes the user's facial expressions and voice to recognize their emotions. This information is sent to the server, which then provides optimized information based on the user's emotional state. For example, if the user is feeling stressed, the system will provide relaxation suggestions and simple operation guides.

[1608] Specific examples

[1609] 1. When a user initiates a new business deal with Customer Y:

[1610] The user captures the face of customer Y through the smart glasses, and the device sends the facial image to the server.

[1611] The server performs facial recognition, and if there is no match, the user scans Customer Y's business card.

[1612] The server extracts the business card information using OCR, links it to facial information, and stores it in a database.

[1613] At the same time, the emotion engine recognizes the user's emotions and displays relaxed suggestions and concise information.

[1614] 2. When the user reschedules with Customer Z:

[1615] The facial image is sent to the server and matched with information previously stored in the database.

[1616] The server searches for past business negotiation details and related interaction information and sends it to the terminal.

[1617] The user checks the displayed information and, if more specific information is needed, issues a voice command.

[1618] The emotion engine monitors the user's stress level and provides support when needed.

[1619] In this way, the system of the present invention manages customer information and provides information in real time, while providing appropriate support according to the user's emotional state, thereby improving the efficiency of business negotiations and reducing the burden on the user.

[1620] The processing flow will be explained below.

[1621] Step 1:

[1622] The user wears the smart glasses during a business meeting, and the device uses its built-in camera to capture the face of the person they are meeting with.

[1623] Step 2:

[1624] The device then sends the acquired facial image data to a server, where encryption technology is used to ensure the security of the data.

[1625] Step 3:

[1626] The server applies a facial recognition algorithm to analyze the received facial image, extracting facial features and matching them with facial information stored in a database.

[1627] Step 4:

[1628] The server compares the acquired facial image with the facial information stored in the database and identifies matching customer information.

[1629] Step 5:

[1630] The server searches a database for past transaction information for matching customers and transmits it to the user's terminal.

[1631] Step 6:

[1632] The device then displays the received customer information and past transaction information on the smart glasses display, allowing the user to proceed with the business negotiation while checking this information.

[1633] Step 7:

[1634] When a user receives a business card from a business partner, they scan it using the smart glasses, and the device sends the scanned image of the card to the server.

[1635] Step 8:

[1636] The server analyzes the business card image and uses OCR technology to extract business card information (name, position, company name, contact information).

[1637] Step 9:

[1638] The server links the extracted business card information with facial information and stores it in a database.

[1639] Step 10:

[1640] During a sales meeting, if the user requires additional information, they can request it using voice commands or the touch panel on the smart glasses.

[1641] Step 11:

[1642] The terminal sends the user's request to the server, which again searches the database to find the additional information requested.

[1643] Step 12:

[1644] The server sends the search results to the device, which then displays the information on the smart glasses in real time.

[1645] Step 13:

[1646] The emotion engine analyzes the user's facial expressions and voice to recognize their emotional state, and provides appropriate information and operational support based on that state.

[1647] Step 14:

[1648] If the user is feeling stressed, the emotion engine will suggest relaxation methods and provide simple operating instructions.

[1649] Step 15:

[1650] After the business meeting is over, the user inputs the details of the meeting and important points into the smart glasses, which then transmits this information to the server.

[1651] Step 16:

[1652] The server analyzes the newly entered business details and adds them to the customer's database entry, making them available as reference for future business negotiations.

[1653] Example 2

[1654] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1655] Current sales negotiation support systems place a heavy burden on users, as they must manually acquire and manage customer information. They also struggle to provide appropriate information in real time during sales negotiations, and lack support tailored to the user's emotional state. This makes it particularly difficult to provide appropriate support to new customers on the first meeting, potentially reducing the quality and efficiency of sales negotiations.

[1656] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for acquiring a facial image of a person input by a user, means for transmitting the acquired facial image, means for analyzing the facial image and comparing it with facial information stored in a database, means for searching for and transmitting past interaction information about the matching person, means for displaying information on the user's terminal, an emotion engine for analyzing and recognizing emotions, and means for providing information and operation guides based on the emotions. This allows the user to check customer information in real time during a business negotiation, take appropriate action, and receive support according to their emotional state.

[1657] A "user" is a person who operates the system and conducts business negotiations.

[1658] A "terminal" is an electronic device that is worn by a user, such as smart glasses.

[1659] A "server" is a central processing unit that analyzes facial images and searches for customer information.

[1660] A "face image" is image data of a person's face captured through a camera.

[1661] A "database" is an information management system that stores customer information, past transaction information, business card information, etc.

[1662] An "emotion engine" is a software or hardware component that analyzes a user's facial expressions and voice to recognize their emotional state.

[1663] A "business card" is a piece of paper that contains a customer's contact information.

[1664] "OCR technology" is an optical character recognition technology that extracts text data from image data.

[1665] "Real-time information provision" is a function that instantly displays relevant information to the user during a business negotiation.

[1666] A "voice command" is an operation instruction that a user inputs to a system using voice.

[1667] A "touch panel" is a display device that a user can directly operate using a finger or a stylus.

[1668] This invention is a system that acquires and displays information necessary for a user wearing smart glasses in real time when negotiating with a customer. Furthermore, by combining it with an emotion engine, it is possible to recognize the user's emotions and provide appropriate information and operation methods according to the emotions. The system of this invention is composed of the following components: smart glasses (terminal), central server, emotion engine, and database.

[1669] Acquiring and sending face images

[1670] When a user wears smart glasses and starts a business meeting with a customer, the device captures an image of the customer's face using a camera. This facial image is then sent from the device to a server. The camera used here is a high-resolution camera built into the smart glasses, and its image processing speed is fast, making it possible to send data in real time.

[1671] Facial image analysis and customer identification

[1672] The server uses facial recognition algorithms such as OpenCV and FaceNet to analyze the received facial images, compares the analyzed facial images with facial information stored in a database, and if a match is found, retrieves related customer information and past interaction information and sends it to the device.

[1673] Acquiring and linking business card information

[1674] If the user is a new customer, they scan their business card with the smart glasses, and the OCR technology used (e.g., Tesseract OCR) extracts text data from the card image, stores that information in a database, and links it to the customer's facial information.

[1675] Real-time information provision

[1676] The customer information and past interaction information sent by the server to the user's device are displayed in real time on the smart glasses' display. The user can check this information while continuing the conversation. If the user requests additional information using voice commands or the touch panel, the request is sent from the device to the server, and the server searches for the additional information and sends the results to the device.

[1677] Emotion Engine Operation

[1678] The emotion engine analyzes the user's facial expressions and voice to recognize their emotions in real time. This information is sent to the server, which then provides optimized information based on the user's emotional state. For example, if the user is feeling stressed, the emotion engine will suggest relaxation techniques and provide simple operation guides.

[1679] Specific examples

[1680] When a user initiates a new business negotiation with Customer Y

[1681] The user captures the face of customer Y through the smart glasses, and the device sends the facial image to the server.

[1682] The server performs facial recognition, and if there is no match, the user scans Customer Y's business card.

[1683] The server extracts the business card information using OCR, links it to facial information, and stores it in a database.

[1684] At the same time, the emotion engine recognizes the user's emotions and displays relaxed suggestions and concise information.

[1685] When the user negotiates with Customer Z again

[1686] The facial image is sent to the server and matched with information previously stored in the database.

[1687] The server searches for past business negotiation details and related interaction information and sends it to the terminal.

[1688] The user checks the displayed information and, if more specific information is needed, issues a voice command.

[1689] The emotion engine monitors the user's stress level and provides support when needed.

[1690] An example of a prompt to be input to the generative AI model is, "When a user starts a business meeting with a new customer, please tell me how to capture a facial image, obtain business card information, provide information in real time, and utilize the emotion engine to support the user."

[1691] In this way, the system of the present invention manages customer information and provides information in real time, while providing appropriate support according to the user's emotional state, thereby improving the efficiency of business negotiations and reducing the burden on the user.

[1692] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1693] Step 1:

[1694] The user puts on the smart glasses and turns them on.

[1695] Input: Press the power button on your smart glasses.

[1696] Output: The smart glasses start up and the system is ready. The initial screen is displayed on the smart glasses screen.

[1697] Step 2:

[1698] The user launches the dedicated application and begins negotiations.

[1699] Enter: Tap the application's launch icon.

[1700] Output: The application launches, the camera is ready to capture the customer's face image, and the screen displays Ready to begin the transaction.

[1701] Step 3:

[1702] The device captures the customer's facial image through the camera and sends the data to the server.

[1703] Input: Customer's face comes into camera range.

[1704] Output: The captured facial image is sent to the server in real time, and the facial image data is stored on the server.

[1705] Step 4:

[1706] The server analyzes the received facial image and compares it with facial information stored in a database.

[1707] Input: Facial image data sent to the server.

[1708] Data processing / calculation: Analyze facial images using OpenCV and FaceNet and extract feature points.

[1709] Output: Customer information that matches the facial image feature data is searched for. The server retrieves the customer information.

[1710] Step 5:

[1711] The server searches for matching customer information and past transaction information and sends it to the terminal.

[1712] Input: Matching customer information data.

[1713] Data processing / calculation: Search for customer information and related past interactions.

[1714] Output: The searched information is sent to the terminal, which displays the customer information and past interactions.

[1715] Step 6:

[1716] If the user is a new customer, they scan their business card with the smart glasses.

[1717] Input: The user holds a business card up to the smartglasses' camera.

[1718] Output: The business card image data is sent to the server and saved on the server.

[1719] Step 7:

[1720] The server extracts the business card information from the business card image, stores it in a database, and links it to the customer's facial information.

[1721] Input: Business card image data.

[1722] Data processing / calculation: Business card information is converted into text data using Tesseract OCR.

[1723] Output: The extracted business card information is saved in a database and linked to the face information. The customer information is updated in the database.

[1724] Step 8:

[1725] The server accepts voice commands or touch panel inputs requesting additional information and processes the requests.

[1726] Input: The user requests additional information via voice command or touch panel.

[1727] Output: A request for additional information is sent to the server, where it is saved.

[1728] Step 9:

[1729] The server retrieves the requested additional information and sends it to the terminal.

[1730] Input: Request data for additional information.

[1731] Data processing / calculation: Searching for additional information from databases.

[1732] Output: The retrieved additional information is sent to the device. The additional information is displayed in real time on the smart glasses.

[1733] Step 10:

[1734] The emotion engine analyzes the user's facial expressions and voice to recognize their emotional state.

[1735] Input: User's facial expression and voice data.

[1736] Data processing / calculation: Facial expression and voice analysis are performed to determine emotional state.

[1737] Output: The emotional state is sent to the server, and the server provides optimal information and operation guidance based on the emotion. Suggestions based on the user's emotion are displayed on the smart glasses.

[1738] This process flow allows users to check customer information in real time during negotiations and respond appropriately. In addition, the emotion engine reduces user stress and improves the quality of negotiations.

[1739] (Application example 2)

[1740] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1741] In brick-and-mortar stores, salespeople are required to quickly and appropriately obtain customer information while serving customers and provide support that corresponds to their emotional state. However, current technology does not adequately develop a system for obtaining and responding to customer information in real time, making it difficult to provide efficient customer service. Furthermore, the lack of appropriate information or suggestions for operation that correspond to the salesperson's emotional state can lead to stress.

[1742] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means. In this invention, the server includes means for acquiring a facial image of a person input by a user, means for transmitting the acquired facial image to the server, means for the server to analyze the facial image and compare it with facial information stored in a database, means for the server to search for past interaction information about the matching person and transmit the information from the server to the user's terminal, means for displaying the past interaction information received on the user's terminal, an emotion engine for analyzing the user's emotional state, means for suggesting appropriate information provision and operation methods according to the emotional state analyzed by the emotion engine, means for the user to scan new business card information with a visual device and transmit the business card image to the server, means for the server to extract the business card information from the business card image and store it in a database, means for linking the business card information with facial information, means for the user to input a request for additional information via a voice command or an input device, means for the terminal to transmit a request for additional information to the server, means for the server to search for the requested additional information and transmit it to the terminal, and means for the terminal to display the additional information in real time. This enables salespeople to obtain customer information in real time and receive appropriate support according to their emotional state.

[1743] "User" refers to a salesperson in a physical store who wears a visual device such as smart glasses and deals with customers.

[1744] A "facial image" is a still image or a portion of a video that captures a customer's face and is used for personal identification.

[1745] "Server" refers to a central processing unit that analyzes facial images and business card information, compares them with information stored in a database, and provides the results to the user's terminal.

[1746] A "database" is a collection of information that the server accesses and manages stored face information, customer information, business card information, and related interaction information.

[1747] An "emotion engine" refers to software or a system that analyzes the facial expressions and voice of users or customers to recognize their emotional state.

[1748] "Real-time information provision" refers to the process in which a server retrieves information instantly in response to a user's request and provides it to the user's terminal.

[1749] A "visual device" is a device that displays visual information, such as smart glasses or a head-mounted display worn by a user.

[1750] "Business card information" refers to text information and contact information extracted from business cards, and is data that is managed in conjunction with customer facial information.

[1751] A "voice command" is an instruction given by voice by a user, and is a means of requesting the system to perform operations such as searching for information or providing additional information.

[1752] "Additional information" is information that the user desires, including more detailed customer information, past interactions, and related suggestions.

[1753] The present invention is a system that can be used when sales staff wear smart glasses to serve customers in brick-and-mortar stores. How to implement this system in detail will be described below.

[1754] The system consists of the following major hardware and software components:

[1755] 1. Smart glasses (terminal) - A device worn by sales staff that has camera and display functions.

[1756] 2. Central Server - This is a server that processes and manages customer information and past transaction information. A server building framework such as Flask is used.

[1757] 3. Emotion Engine - Software that analyzes the salesperson's facial expressions and voice data to recognize their emotional state. It uses the EmotionRecognition library.

[1758] 4. Database - A collection of information that manages face information, business card information, customer information, and past interaction information. For example, MySQL or SQLite is used.

[1759] In this system, a salesperson first puts on smart glasses and begins interacting with a customer. The camera function is used to capture an image of the customer's face. The captured image is then sent from the smart glasses to a central server. The server analyzes the received image and compares it with facial information stored in a database. If a match is found, the server searches for related customer information and past interaction information, which are then sent to the smart glasses for display.

[1760] If the customer is a new customer, the salesperson scans the business card with the smart glasses' camera. The card image is sent to a server, and the card information is extracted using OCR technology. This business card information is stored in a database and linked to the customer's facial information. This allows information about new customers to be quickly retrieved on subsequent visits.

[1761] Furthermore, the system monitors the emotional state of salespeople in real time. The emotion engine analyzes facial expressions and voice data, and if it detects a stressful situation, it offers relaxation suggestions and simple operation guidance.

[1762] For example, when a repeat customer visits a store, the smart glasses will display the customer's previous purchases and preferred styles. If a salesperson is feeling stressed, the glasses will display relaxation suggestions, improving the quality of customer service.

[1763] Below are some examples of prompts that can be input to a real generative AI model:

[1764] "A customer wears smart glasses and enters a store. The glasses capture the salesperson's facial expressions and voice data, analyze them in real time, and display customer information and past purchase history. Also, if the salesperson is feeling stressed, they should be shown relaxation suggestions."

[1765] In this way, the system of the present invention improves the efficiency of customer service in physical stores, reducing the burden on sales staff while providing high-quality service.

[1766] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1767] Step 1:

[1768] The user puts on the smart glasses and begins interacting with a customer. The camera on the smart glasses captures an image of the customer's face.

[1769] Input: Customer's face image

[1770] Output: Face image file

[1771] What it does: The smart glasses camera takes a picture of the customer's face and generates an image file.

[1772] Step 2:

[1773] The device sends the captured facial image to a central server.

[1774] Input: Face image file

[1775] Output: Facial image data sent to the server

[1776] Specific operation: The device sends a facial image via the Internet to a specific API on a central server.

[1777] Step 3:

[1778] The server analyzes the received facial image and compares it with facial information stored in a database.

[1779] Input: Facial image data sent to the server

[1780] Output: Customer Identification Information

[1781] What it does: The server uses facial recognition software to analyze the facial image and match it with existing facial information in a database to find a match.

[1782] Step 4:

[1783] The server searches for matching customer information and past transaction information and transmits that information to the user's terminal.

[1784] Input: Customer Identification Information

[1785] Output: Relevant customer information and past interactions

[1786] Specific operation: The server extracts relevant information from the database and sends it to the user's device.

[1787] Step 5:

[1788] Past interaction information received on the user's device is displayed on the smart glasses.

[1789] Input: Relevant customer information and past interactions

[1790] Output: Information displayed on the smart glasses display

[1791] Specific operation: The device analyzes the received data and displays customer information on the smart glasses display.

[1792] Step 6:

[1793] If the user is a new customer, they scan their business card with the smart glasses' camera.

[1794] Input: Business card image

[1795] Output: Business card image file

[1796] Specific operation: Take a photo of a business card using the smart glasses camera and generate an image file.

[1797] Step 7:

[1798] The smart glasses send the business card image to a server, which then uses OCR technology to extract the business card information.

[1799] Input: Business card image file

[1800] Output: Business card information in text format

[1801] Specific operation: The terminal sends the business card image to the server, and the server extracts the text data using OCR software.

[1802] Step 8:

[1803] The server stores the extracted business card information in a database and links it to facial information.

[1804] Input: Business card information in text format

[1805] Output: Customer information and face information link stored in the database

[1806] Specific operation: The server adds the business card information to the database and links it to the facial information.

[1807] Step 9:

[1808] The emotion engine analyzes the user's facial image and voice data to recognize their emotional state.

[1809] Input: Facial video and audio data

[1810] Output: Emotional state identification result

[1811] Specific operation: The emotion engine performs facial expression and voice analysis to recognize the user's emotional state.

[1812] Step 10:

[1813] Based on the emotional state analyzed by the emotion engine, the server provides appropriate information and suggests operating methods.

[1814] Input: Emotional state identification result

[1815] Output: Relaxation suggestions and operation guide

[1816] Specific operation: Based on the results of the emotion engine, the server sends optimized response methods and relaxation suggestions to the device.

[1817] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1818] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1819] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1820] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1821] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1822] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1823] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1824] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1825] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1826] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1827] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1828] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1829] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1830] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1831] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1832] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1833] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1834] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1835] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1836] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1837] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1838] The following is further disclosed regarding the above embodiment.

[1839] (Claim 1)

[1840] means for acquiring a face image of a person input by a user;

[1841] means for transmitting the acquired facial image to a server;

[1842] A means for the server to analyze the facial image and compare it with facial information stored in a database;

[1843] A means for the server to search for past interaction information about the matching person and transmit the information from the server to the user's terminal;

[1844] means for displaying past interaction information received at the user's device;

[1845] A system including:

[1846] (Claim 2)

[1847] A means for a user to scan new business card information with smart glasses and transmit the business card image to a server;

[1848] A means for the server to extract business card information from the business card image and store it in a database;

[1849] a means for linking business card information with facial information;

[1850] The system of claim 1 further comprising:

[1851] (Claim 3)

[1852] a means for the user to request additional information via voice commands or input via a touch panel;

[1853] means for the terminal to send a request for additional information to the server;

[1854] means for the server to retrieve and transmit the requested additional information to the terminal;

[1855] means by which the terminal displays additional information in real time;

[1856] The system of claim 1 further comprising:

[1857] "Example 1"

[1858] (Claim 1)

[1859] means for acquiring a face image of a person input by a user;

[1860] means for transmitting the acquired facial image to a server;

[1861] A means for the server to analyze the facial image and compare it with facial information stored in a database;

[1862] A means for the server to search for past interaction information about the matching person and transmit the information from the server to the user's terminal;

[1863] means for displaying past interaction information received at the user's device;

[1864] For new customers, the business card information can be scanned with smart glasses,

[1865] means for transmitting the business card image to a server;

[1866] A means for the server to extract business card information from the business card image and link it to face information;

[1867] a means of requesting additional information via voice command during a transaction;

[1868] a means for retrieving and displaying additional information in real time based on requests;

[1869] A system including:

[1870] (Claim 2)

[1871] A means for transmitting the business card information to a server, and the server extracting the business card information using OCR technology and storing it in a database;

[1872] means for linking the extracted business card information with facial information;

[1873] The system of claim 1 further comprising:

[1874] (Claim 3)

[1875] a means for the user to request additional information via voice commands or input via a touch panel;

[1876] means for the terminal to send a request for additional information to the server;

[1877] means for the server to retrieve and transmit the requested additional information to the terminal;

[1878] means by which the terminal displays additional information in real time;

[1879] The system of claim 1 further comprising:

[1880] "Application Example 1"

[1881] (Claim 1)

[1882] means for acquiring a face image of a person input by a user;

[1883] means for transmitting the acquired facial image to a server;

[1884] A means for the server to analyze the facial image and compare it with facial information stored in a database;

[1885] A means for the server to search for past interaction information about the matching person and transmit the information from the server to the user's terminal;

[1886] means for displaying past interaction information received at the user's device;

[1887] A means for users to capture customer facial images in real time while walking around in 360 degrees,

[1888] A means for scanning business card information provided by new customers with smart glasses and transmitting the business card image to a server;

[1889] A system including:

[1890] (Claim 2)

[1891] A means for a user to scan new business card information with smart glasses and transmit the business card image to a server;

[1892] A means for the server to extract business card information from the business card image and store it in a database;

[1893] a means for linking business card information with facial information;

[1894] The system of claim 1 further comprising:

[1895] (Claim 3)

[1896] a means for the user to request additional information via voice commands or input via a touch panel;

[1897] means for the terminal to send a request for additional information to the server;

[1898] means for the server to retrieve and transmit the requested additional information to the terminal;

[1899] means by which the terminal displays additional information in real time;

[1900] A method for salespeople to use smart glasses to acquire and display information on interactions with new customers while walking around, and

[1901] The system of claim 1 further comprising:

[1902] "Example 2: Combining Emotion Engines"

[1903] (Claim 1)

[1904] means for acquiring a face image of a person input by a user;

[1905] means for transmitting the acquired facial image to a server;

[1906] A means for the server to analyze the facial image and compare it with facial information stored in a database;

[1907] A means for the server to search for past interaction information about the matching person and transmit the information from the server to the user's terminal;

[1908] means for displaying past interaction information received at the user's device;

[1909] An emotion engine that analyzes the user's facial expressions and voice to recognize their emotions,

[1910] A means for providing information and operation guides based on the emotions recognized by the emotion engine;

[1911] A system including:

[1912] (Claim 2)

[1913] A means for a user to scan new business card information with smart glasses and transmit the business card image to a server;

[1914] A means for the server to extract business card information from the business card image and store it in a database;

[1915] a means for linking business card information with facial information;

[1916] The system of claim 1 further comprising:

[1917] (Claim 3)

[1918] a means for the user to request additional information via voice commands or input via a touch panel;

[1919] means for the terminal to send a request for additional information to the server;

[1920] means for the server to retrieve and transmit the requested additional information to the terminal;

[1921] means by which the terminal displays additional information in real time;

[1922] means for monitoring the user's emotional state while the additional information is being displayed and providing timely support; and

[1923] The system of claim 1 further comprising:

[1924] "Application example 2 when combining emotion engines"

[1925] (Claim 1)

[1926] means for acquiring a face image of a person input by a user;

[1927] means for transmitting the acquired facial image to a server;

[1928] A means for the server to analyze the facial image and compare it with facial information stored in a database;

[1929] A means for the server to search for past interaction information about the matching person and transmit the information from the server to the user's terminal;

[1930] means for displaying past interaction information received at the user's device;

[1931] an emotion engine that analyzes the user's emotional state;

[1932] A means to provide appropriate information and suggest operation methods according to the emotional state analyzed by the emotion engine;

[1933] A system including:

[1934] (Claim 2)

[1935] A means for a user to scan new business card information with a visual device and transmit the business card image to a server;

[1936] A means for the server to extract business card information from the business card image and store it in a database;

[1937] a means for linking business card information with facial information;

[1938] The system of claim 1 further comprising:

[1939] (Claim 3)

[1940] a means for the user to input, via voice commands or an input device, requests for additional information;

[1941] means for the terminal to send a request for additional information to the server;

[1942] means for the server to retrieve and transmit the requested additional information to the terminal;

[1943] means by which the terminal displays additional information in real time;

[1944] The system of claim 1 further comprising: [Explanation of symbols]

[1945] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for acquiring a face image of a person input by a user; means for transmitting the acquired facial image to a server; A means for the server to analyze the facial image and compare it with facial information stored in a database; A means for the server to search for past interaction information about the matching person and transmit the information from the server to the user's terminal; means for displaying past interaction information received at the user's device; A system including:

2. A means for a user to scan new business card information with smart glasses and transmit the business card image to a server; A means for the server to extract business card information from the business card image and store it in a database; a means for linking business card information with facial information; The system of claim 1 further comprising:

3. a means for the user to request additional information via voice commands or input via a touch panel; means for the terminal to send a request for additional information to the server; means for the server to retrieve and transmit the requested additional information to the terminal; means by which the terminal displays additional information in real time; The system of claim 1 further comprising:

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