Machines, systems, methods

Abstract

To provide a machine or system that can automatically move ordered items to their designated locations, confirm payment, and then hand them over to the customer. [Solution] A machine that may be equipped with a video acquisition device, and includes a bipedal robot, a self-propelled vehicle, or an unmanned aerial vehicle, and has means of communication, and communicates information with other computers, computing equipment, cloud, the internet, and applications, wherein the method for moving the first object to a predetermined position includes the machine obtaining order information for the first object from the service user, moving the first object to a predetermined position, recognizing the completion of payment for the first object, and, after recognition, handing over the first object to the customer.

Description

TECHNICAL FIELD

[0001] The present invention relates to a machine or system.

BACKGROUND ART

[0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art.

[0003] Patent Document 1 discloses a settlement system.

PRIOR ART DOCUMENTS

PATENT DOCUMENTS

[0004]

PATENT DOCUMENT 1

SUMMARY OF THE INVENTION

PROBLEMS TO BE SOLVED BY THE INVENTION

[0005] However, the inventor has recognized that at least the above-described embodiment has a disadvantage that there is no configuration for moving an ordered item to a predetermined position and delivering it to the orderer after confirming payment.

MEANS FOR SOLVING THE PROBLEMS

[0006] At least one embodiment of the present disclosure provides a machine, wherein order information for a first target is acquired, the first target is moved to a predetermined position, the completion of payment for the first target is recognized, and after the recognition, the first target is delivered to the orderer, the machine is provided.

EFFECTS OF THE INVENTION

[0007] This configuration has at least the utility of automatically moving an ordered item to a predetermined position and delivering it to the orderer after confirming payment.

[0008] These and other aspects, features, and advantages of the Disclosure will become apparent from the following detailed written description of preferred embodiments and aspects taken in conjunction with the following drawings, but variations and modifications thereof may be implemented without departing from the spirit and scope of the novel concepts of the Disclosure. An aspect of one embodiment in the Disclosure may be combined with or replaced by one or more aspects of another embodiment disclosed herein, insofar as they do not conflict. [Modes for carrying out the invention]

[0009] The following disclosure provides many different embodiments and examples for carrying out different features of the presented subject matter. For the sake of simplicity, specific examples of components and arrangements are disclosed below. Of course, these are merely examples and are not intended to be limiting. For example, a structure in which a first feature is covered by or in contact with a second feature subsequently disclosed may include embodiments in which an additional feature is formed between the first and second features so that they do not come into direct contact, as well as embodiments in which the first and second features are formed so that they do not come into direct contact. Furthermore, the disclosure may repeat reference numbers and / or letters in various examples. This repetition is for the sake of brevity and clarity and does not require in itself to be related to the various embodiments and / or configurations described. Furthermore, when describing the first element as being "connected" or "joined" to the second element, such description includes embodiments in which the first and second elements are directly connected or joined to each other, as well as embodiments in which the first and second elements are indirectly connected or joined to each other by having one or more other elements interposed between them.

[0010] As used herein, the phrase "at least one of" encompasses all exemplary modifications. For example, the phrase "comprises at least one of A, B, or C" is synonymous with "consisting of A, B, C and combinations thereof," and encompasses all conceivable modifications of A, B, C, A+B, A+C, B+C, and A+B+C. In this disclosure, any disclosure of embodiments combining two or more configurations can be implemented as embodiments of any one or more configurations, unless otherwise stated herein, provided that they do not conflict. For example, the phrase "implements A, B, and C" is synonymous with "comprising of A, B, or C and combinations thereof." And it incorporates all conceivable modified embodiments of A, B, C, A+B, A+C, B+C, and A+B+C.

[0011] In this disclosure, disclosures involving the use of machines, electronic operators, or computers may include embodiments of methods, recording media, apparatus, or programs. Any statement used herein that “A is B” may be replaced with “A includes B” unless otherwise stated herein, to the extent that it does not conflict with the statement.

[0012] The terms used in this disclosure, including those used in the claims, may be interpreted in light of the descriptions and drawings in the specification, and, to the extent that they do not contradict the implications of this disclosure, they may also be interpreted in relation to what one or more citizens have called, represented, understood or practiced, or may have done in the past, present, or future, as such. The following embodiments can be used for the operating method in at least one embodiment. The following will be explained by reference to the description in JP6456303, which describes at least one embodiment in detail (beginning of reference).

[0013] As used herein, the term “computer” schematically includes, as known in the art, a processor, memory, at least one information storage / retrieval device such as a hard drive, disk drive or flash drive or memory stick, or other non-temporary computer-readable medium or non-temporary storage device, at least one input device such as a keyboard, mouse, point and touch device, touchscreen or microphone, and a display structure such as a well-known computer screen. In addition, a computer may include one or more network connections, such as wired or wireless connections. As known in the art, such a computer or computer system may more or less include, but is not limited to, for example, tablet computers or smart devices, other electronic media and electronic devices.

[0014] As used herein, the terms “cloud” or “cloud computing” refer to centralized and virtualized computing facilities where all computing resources are shared. For application systems and subsystems, since they all reside within the “cloud,” it is no longer possible to refer to specific machines.

[0015] As used herein, the term “Distributed Internet Services System” refers to a distributed internet services platform that translates internet applications for execution in various computing environments. A DIS system distributes internet applications, including content, data, and logic, to any number and type of device, to whatever extent appropriate, and along a network, via Component Distribution Servers / Asset Distribution Servers. Through a DIS, internet applications can be hosted and centrally managed as a service tailored to each user's needs, and can be locally cached and executed on the user's device or nearby locations while maintaining their integrity. Web-enabled computing devices can be upgraded with DIS software to become DIS-enabled, capable of enjoying and running distributed internet services. The Distributed Internet Service System is fully described in any one of the following patent families: U.S. Patents No. 7,136857, 7150015, 7181731, 7209921, 7430610, 7685183, 7685577, 7752214, 8326883, 8386525, 8443035, 8458142, 8458222, 8473468, 8527545, and 8650226, and U.S. Patent Publications 20120005205 ​​and 20130091252, all of which, like the present invention, are jointly owned by OP40 Holdings, Inc., and all of which are incorporated by reference. (End of quote)

[0016] Regarding the operating method used in at least one embodiment, the following embodiments can be taken for conventional internet systems that do not use a distributed internet. The following will be explained by reference to the description in JP7113047, which describes at least one embodiment in detail (beginning of reference).

[0017] Embodiments including those specifically disclosed herein can provide an automated response system based on artificial intelligence that is implemented in a manner that mimics actual human conversation, thereby enabling more natural communication with users while quickly and conveniently handling inquiries, reservations, delivery orders, and more.

[0018] The multiple electronic devices 110, 120, 130, and 140 may be fixed or mobile terminals implemented by a computer system. Examples of the multiple electronic devices 110, 120, 130, and 140 include AI speakers, smartphones, mobile phones, navigation systems, PCs (personal computers), notebook PCs, digital broadcasting terminals, PDAs (Personal Digital Assistants), PMPs (Portable Multimedia Players), tablets, game consoles, wearable devices, IoT (Internet of Things) devices, VR (virtual reality) devices, and AR (augmented reality) devices. As an example, Figure 1 shows an AI speaker as electronic device 110, but in embodiments of the present invention, electronic device 110 may mean one of a variety of physical computer systems that can communicate with other electronic devices 120, 130, 140 and / or servers 150, 160 via a network 170 using substantially wireless or wired communication methods.

[0019] The communication method is not limited, and may include not only communication methods that utilize communication networks that can be included in network 170 (for example, mobile communication networks, wired internet, wireless internet, broadcasting networks, satellite networks, etc.), but also short-range wireless communication between devices. For example, network 170 may include one or more arbitrary networks such as PAN (personal area network), LAN (local area network), CAN (campus area network), MAN (metropolitan area network), WAN (wide area network), BBN (broadband network), and the Internet. Furthermore, network 170 may include, but is not limited to, one or more network topologies, including bus networks, star networks, ring networks, mesh networks, starbus networks, tree or hierarchical networks.

[0020] Each of the servers 150 and 160 may be implemented by one or more computer devices that communicate with a plurality of electronic devices 110, 120, 130, and 140 via the network 170 to provide instructions, codes, files, contents, services, and the like. For example, the server 150 may be a system that provides a first service to the plurality of electronic devices 110, 120, 130, and 140 connected via the network 170, and the server 160 may also be a system that provides a second service to the plurality of electronic devices 110, 120, 130, and 140 connected via the network 170. As a more specific example, the server 150 may provide a service intended by a corresponding application (for example, an automated response service or the like) as the first service to the plurality of electronic devices 110, 120, 130, and 140 through the application which is a computer program installed and executed in the plurality of electronic devices 110, 120, 130, and 140. As another example, the server 160 may provide a service of distributing files for installation and execution of the above-described application to the plurality of electronic devices 110, 120, 130, and 140 as the second service.

[0021] FIG. 2 is a block diagram for explaining internal configurations of an electronic device and a server according to an embodiment of the present invention. In FIG. 2, the internal configuration of the electronic device 110 and the internal configuration of the server 150 will be described as examples for the electronic device. Further, other electronic devices 120, 130, 140 and the server 160 may also have the same or similar internal configuration as the above-described electronic device 110 or server 150.

[0022] The electronic device 110 and the server 150 may include memory 211, 221, processors 212, 222, communication modules 213, 223, and input / output interfaces 214, 224. The memory 211, 221 may be a non-temporary computer-readable recording medium and may include non-temporary mass storage devices such as RAM (random access memory), ROM (read-only memory), disk drives, SSDs (solid-state drives), and flash memory. Here, non-temporary mass storage devices such as ROM, SSDs, flash memory, and disk drives may be included in the electronic device 110 and the server 150 as separate non-temporary storage devices distinct from the memory 211, 221. The memory 211, 221 may also store an operating system and at least one program code (for example, code for a browser installed and run on the electronic device 110, or code for an application installed on the electronic device 110 to provide a specific service). Such software components may be loaded from a computer-readable recording medium separate from the memory 211, 221. Such other computer-readable recording media may include computer-readable recording media such as floppy® drives, disks, tapes, DVD / CD-ROM drives, and memory cards. In other embodiments, software components may be loaded into memories 211, 221 through communication modules 213, 223 which are not computer-readable recording media. For example, at least one program may be loaded into memories 211, 221 based on a computer program (for example, the application described above) that is installed by a file provided over the network 170 by a file distribution system (for example, the server 160 described above) that distributes installation files for a developer or application.

[0023] The processors 212 and 222 may be configured to process instructions of a computer program by executing basic arithmetic, logical, and input / output operations. The instructions may be provided to the processors 212 and 222 by the memories 211, 221 or the communication modules 213, 223. For example, the processors 212 and 222 may be configured to execute received instructions in accordance with program codes recorded in a recording device such as the memories 211 and 221.

[0024] The communication modules 213 and 223 may provide a function for the electronic device 110 and the server 150 to communicate with each other via the network 170, or may provide a function for the electronic device 110 and / or the server 150 to communicate with another electronic device (for example, the electronic device 120) or another server (for example, the server 160). As an example, a request generated by the processor 212 of the electronic device 110 in accordance with program code recorded in a recording device such as the memory 211 may be transmitted to the server 150 via the network 170 under the control of the communication module 213. Conversely, control signals, instructions, content, files and the like provided under the control of the processor 222 of the server 150 may be received by the electronic device 110 through the communication module 223 and the network 170, and via the communication module 213 of the electronic device 110. For example, control signals, instructions, content, files and the like of the server 150 received through the communication module 213 may be transmitted to the processor 212 or the memory 211, and the content, files and the like may be recorded in a recording medium (the aforementioned non-transitory recording device) that can be further included in the electronic device 110.

[0025] The input / output interface 214 may be a means for interface with an input / output device 215. For example, an input device may include a keyboard, mouse, microphone, camera, etc., and an output device may include a display, speaker, haptic feedback device, etc. As another example, the input / output interface 214 may be a means for interface with a device that integrates input and output functions into one, such as a touchscreen. The input / output device 215 may consist of the electronic device 110 and one other device. Also, the input / output interface 224 of the server 150 may be a means for interface with an input or output device (not shown) that connects to or can be included in the server 150. As a more specific example, when the processor 212 of the electronic device 110 processes instructions for a computer program loaded into memory 211, a service screen or content configured using data provided by the server 150 or electronic device 120 may be displayed on the display via the input / output interface 214.

[0026] Furthermore, in other embodiments, the electronic device 110 and the server 150 may include more components than those shown in Figure 2. However, it is not necessary to explicitly show most of the conventional components in the figure. For example, the electronic device 110 may be implemented to include at least some of the input / output devices 215 described above, and may further include other components such as transceivers, cameras, various sensors, and databases. As a more specific example, if the electronic device 110 is an AI speaker, the electronic device 110 may be implemented to further include a variety of components that are generally included in an AI speaker, such as various sensors, camera modules, various physical buttons, buttons using a touch panel, input / output ports, and vibrators for vibration. (End of quote)

[0027] The machine is disclosed. According to at least one embodiment, the user terminal consists of a control unit, RAM, storage unit, graphics processing unit, communication interface, and interface unit, each connected by an internal bus. In at least one embodiment, the user terminal includes terminals owned by the user. On the other hand, it includes not only terminals owned by the user, but also terminals owned by persons other than the user (including sellers and traders of goods and services, and the government and local authorities). For example, it includes terminals (including those transferred or leased) made available for use by persons receiving the provision or advertising / promotion of goods or services (hereinafter referred to as "such provision, etc." in this paragraph), terminals used for such provision, etc., and terminals related to the provision, etc. of such goods or services by persons receiving such provision, etc. In other words, it includes terminals owned by others that the user is only temporarily permitted to use, and terminals that the user is lent.

[0028] According to at least one embodiment, the control unit consists of a CPU and ROM. The control unit executes programs stored in the storage unit and controls the user terminal. RAM is the work area of ​​the control unit. The storage unit is a memory area for saving programs and data. The control unit reads programs and data from RAM and processes them. By processing the programs and data loaded into RAM, the control unit outputs drawing commands to the graphics processing unit.

[0029] According to at least one embodiment, the graphics processing unit is connected to the display unit. The display unit has a display screen. When the control unit outputs a drawing command to the graphics processing unit, the graphics processing unit outputs a video signal for displaying an image on the display screen. Here, the display unit may be a touch panel equipped with a touch sensor. The touch panel of this display unit functions as an input unit.

[0030] According to at least one embodiment, the communication interface can be connected to a communication network wirelessly or via a wired connection, and can send and receive data with a server device via the communication network. The data received via the communication interface is loaded into RAM and processed by the control unit. External memory (e.g., an SD card) is connected to the interface unit.

[0031] According to at least one embodiment, the user terminal is not particularly limited as long as it is a computer device having a display screen and an input unit. Examples of user terminals include conventional mobile phones, tablet devices, smartphones, and desktop or notebook personal computers. A VR goggle, i.e., a screen (or two display panels, one for each eye) attached to a frame (or headset) that is fixed or attached to the head with a strap, may also be used. The user terminal has an audio output unit.

[0032] According to at least one embodiment, a user terminal can communicate with a server device via a communication network. It can transmit or receive information by establishing a communication connection via the communication network.

[0033] According to at least one embodiment, the server device comprises at least a control unit, RAM, a storage unit, and a communication interface, each connected by an internal bus.

[0034] According to at least one embodiment, the control unit consists of a CPU and ROM, executes programs stored in the storage unit, and controls the server device. The control unit also has an internal timer for timing. RAM is the work area of ​​the control unit. The storage unit is a memory area for saving programs and data. The control unit reads programs and data from RAM and performs program execution processing based on information received from the user terminal, etc.

[0035] This document discloses AI. According to at least one embodiment, artificial intelligence includes machine learning, deep learning, generative AI, large-scale language models (LLMs), foundational models, and generative AI. Generative AI uses transformers and employs numerous attention mechanisms. It uses self-supervised learning and Extract Prediction. In this case, the AI ​​can predict the next word. Given a sentence, it predicts the next word from the sentence up to that point. It generates a large number of supervised learning problems. These enable an AI that can predict the next word. Generative AI can predict grammatical structure, topic connections, and what kind of sentences people with a certain writing style are likely to write. Furthermore, by simply predicting the next sentence, generative AI can learn the underlying structure, causal relationships, and knowledge. Generative AI scales quickly, and its accuracy improves as the number of parameters increases. Ordinary statistics and machine learning overfit if the model parameters are too large compared to the data sample size. LLMs become more accurate as the number of parameters increases. One generative AI has 175 billion parameters. Generative AI is overlaid with supervised learning to facilitate smooth conversation. They are taught not to say anything strange. They write essays and act as call center operators.

[0036] According to at least one embodiment, Large Language Models (LLMs) are, in a non-inclusive sense, machine learning natural language processing models built using large datasets and deep learning techniques. Generally, they are adapted to various natural language processing (NLP) tasks such as text classification and generation, sentiment analysis, text summarization, and question answering using a technique called "fine-tuning," which involves training them on specific tasks. According to at least one embodiment, self-supervised learning is close to intrinsic human intelligence. When humans act, they are always predicting what will happen next and predicting the next input. In the process, they can learn the structure of the external world. Predicting the next word is considered intrinsic intelligence and is close to what is done in the cerebral cortex. According to at least one embodiment, Large Language Models memorize all the input information but generalize it to the extent necessary to predict the next word. They do not try to generalize all the information from the beginning. Large Language Models require capacity to remember information, and therefore require parameters. According to at least one embodiment, a large-scale language model incorporates eight models, each with 175 billion parameters or 220 billion parameters.

[0037] According to at least one embodiment, videos and images are represented as a collection of visual patches, which are small data units similar to text tokens in LLMs. Patches effectively represent models of visual data and are used as highly scalable and effective representations for training generative models on various types of videos and images. Videos are transformed into patches by first compressing the video into a low-dimensional latent space and then decomposing the representation into spatiotemporal patches.

[0038] According to at least one embodiment, a video compression network is a network that reduces the dimensionality of visual data, taking raw video as input and outputting a temporally and spatially compressed latent representation. An AI is trained in this compressed latent space and then generates video within this compressed latent space.

[0039] According to at least one embodiment, Spacetime Latent Patches extract a series of spatiotemporal patches that function as transformer tokens when given a compressed input video. The patch-based representation allows Sora to be trained on videos and images of varying resolutions, lengths, and aspect ratios, and controls the size of the resulting video by arranging randomly initialized patches into a grid of appropriate size during inference.

[0040] According to at least one embodiment, the AI ​​is a diffusion model that, given a noisy patch (and conditioning information such as text prompts) as input, is trained to predict the original "clean" patch. The AI ​​is a diffusion transformer, which exhibits remarkable scaling properties in various domains, including language modeling, computer vision, and image generation. Diffusion transformers are also effective as video generation models. The AI's sample quality improves significantly as the amount of training computation increases.

[0041] According to at least one embodiment, the AI ​​applies caption regeneration technology to train a highly descriptive caption model, which is then used to generate text captions for all videos in the training set. Training highly descriptive captions improves not only the overall quality of the generated videos but also the fidelity of the text. GPT is used to convert short user prompts into long, detailed captions, which are then sent to the model. This allows the AI ​​to generate high-quality videos that precisely follow the user prompts.

[0042] According to at least one embodiment, AI can perform vectorization in natural language processing according to the following flow. First, as a preprocessing step, the given text is cleaned. In the cleaning process, unnecessary words such as JavaScript code and HTML tags contained in the text are removed. These codes are used to display on the internet and are therefore not generally used in natural language processing. Next, the text is divided into words using morphological analysis. Morphological analysis is the classification of natural language sentences written in characters into the smallest meaningful linguistic units. "MeCab," "JUMAN," and "JANOME" can be used as morphological analysis tools. In normalization, words with the same meaning, such as variations in spelling, are unified into a single word. Stop words are words that are excluded from processing for reasons such as not being usable in natural language processing. Examples of stop words include particles and auxiliary verbs, which do not have meaning on their own. When calculating vectors, these may be removed, and only meaningful words may be targeted. Vectorization may also be performed without removing these stop words. Vectorization is the process of converting strings of words into vectors. Vectorization transforms word data into numerical data. When converting words to vectors, methods such as Bag of Words and distributed representations are used. Bag of Words is a method of vectorizing a given text using the number of occurrences of each word. It focuses on how often each word appears in the text, and does not consider the order of words or sentences. Distributed representation is a method of vectorizing by focusing on the meaning of words. By vectorizing the meaning of words, it is possible to assign similar vectors to words with similar meanings or usages, and the relationships between words can also be represented by vectors. With vector representation, it is possible to add and subtract the meanings of words. In applied processing, natural language converted into numerical data can be used as input for machine learning. Specifically, vectorized natural language is fed into a classifier to perform text classification.Tools used here include TensorFlow, scikit-learn, and PyTorch.

[0043] A machine is disclosed. In at least one embodiment, the machine may exist as a combination of one or more embodiments or functions described herein.

[0044] Machines include machines that can move on their own or machines that are equipped with a power source that allows them to move on their own. Machines may be equipped with image acquisition devices. Machines include robots. Machines have means of communication and can communicate information with other computers, computing equipment, cloud, the internet, and applications. For example, machines include machines that move on at least one wheel, such as self-propelled vehicles. A self-propelled vehicle is an unmanned, self-propelled vehicle or machine. Furthermore, machines include machines that walk or run with at least one movable part. For example, they are capable of bipedal locomotion. For example, they include humanoid robots. Humanoid robots have at least two movable parts, which correspond to legs. Machines include robots or humanoid robots that combine artificial intelligence (AI) and robotics. These machines can act autonomously while recognizing their surroundings by utilizing autonomous driving technology and machine learning algorithms. Machines are equipped with AI technology and sensors. This allows them to recognize their surroundings in real time and select appropriate actions. For example, they can move while avoiding obstacles or communicate with people around them. Machines include machines that fly using power. As an example, this includes unmanned aerial vehicles (UAVs). Aircraft include airplanes, rotary-wing aircraft, gliders, airships, and other equipment specified by government ordinance that can be used for aviation. Aircraft may be equipped with one or more propellers. Unmanned aerial vehicles are equipped with image acquisition devices. Unmanned aerial vehicles can capture images. Images include thermography.

[0045] This disclosure concerns an image acquisition device or means. In at least one embodiment, the image acquisition device can be implemented using any of the machines or devices described in this disclosure. Non-exclusive examples include devices that capture images and convert them into digital data. These include digital cameras (which capture still images and videos and store them on recording media), video cameras (which primarily capture videos), webcams (which are connected to computers and used for video conferencing and live streaming), surveillance cameras (which are installed for security purposes and continuously record images), and smartphone cameras. The term "image" in this disclosure has a very broad meaning. Generally, it refers to an image created by light, that is, visual information that can be seen and perceived by the eye. In other words, "image" includes thermography (a technology that visualizes invisible heat). Thermography uses an infrared camera to detect infrared radiation emitted from an object and displays its intensity in different colors to capture the temperature distribution as an image. Naturally, "image acquisition device" includes devices that acquire thermography.

[0046] This document discloses a method for obtaining order information for the First Subject. In at least one embodiment, a user of the Service places an order for the First Subject through a machine or terminal. An order includes instructions or requests for any service, or for the production or delivery of an object or product. Furthermore, an order includes instructions or requests for production and delivery specifying quality, quantity, shape, dimensions, or one or more combinations thereof. The First Subject includes the goods or services for which such orders can be placed. A user of the Service may arbitrarily designate the First Subject. For example, a user of the Service may order ramen as the First Subject and request the production of the First Subject. For example, a user may order ramen as the First Subject and request delivery of the First Subject to the user's address. The user communicates these requests to another machine or server, etc., by electromagnetic means through a machine or terminal. For example, the user transmits the order information to a machine or server, etc., operated by the service provider. The machine obtains the order information transmitted by the user.

[0047] A method for moving a first object to a predetermined location is disclosed. In at least one embodiment, the machine moves the first object to a predetermined location. The predetermined location is determined by the user or the service provider. For example, the user may determine their residence as the predetermined location. The service provider may determine the cash register counter in the store as the predetermined location. Alternatively, the service provider may determine the location on the store premises where the user's car is parked as the predetermined location. Thus, the predetermined location includes locations that can be freely registered by those using the machine or terminal. The machine is self-moving. The machine may have location tracking means such as GPS. In this case, the machine can drive itself to the predetermined location. The machine moves the first object to the predetermined location by holding it and moving itself. For example, the machine produces an ordered bowl of ramen, holds the ramen, and moves it to the front of the user's car on the store premises. Alternatively, the machine may hold ramen prepared by another machine or person and move it to the front of the user's car on the store premises. In addition, the object may be moved to the user's home or front door. The machine may be a humanoid robot or a drone. Moving the first object to a predetermined location includes the machine moving the first object to the predetermined location through its own operation. On the other hand, it also includes the machine moving the first object to the predetermined location in cooperation with other machines or people. For example, in one embodiment, the first object is delivered from a logistics facility where it is stored to a distribution center by a self-propelled cart or a vehicle driven by a driver, and then a machine (such as a humanoid robot) transports it from the distribution center to the customer's home (corresponding to the predetermined location). Another embodiment includes, in a large membership-based warehouse store, the first object is taken from the shelf and transported to the cash register counter by an automated warehouse, conveyor, self-propelled cart, drone, etc., and a humanoid robot near the cash register counter receives the first object from these machines, and then moves the first object a short distance from that point to near the person at the cash register counter. Thus, the act of moving the first object to a predetermined position includes not only embodiments in which a single machine moves it, but also embodiments in which other machines or the like intervene.

[0048] The symmetrical object is moved in conjunction with the movement of the machine. One example of this action is holding. In this disclosure, “holding” can be replaced with any embodiment of “the action of moving the symmetrical object in conjunction with the movement of the machine.” For example, this includes a humanoid robot carrying an object. When carrying an object, embodiments include the robot carrying it with one hand, with both hands, loading it onto an object holder on its back, and carrying it in a combination of these. During such actions, the robot is said to be holding the first object. Furthermore, this includes a drone carrying an object by any means. For example, this includes an embodiment in which a drone is equipped with an object-carrying carrier and flies with an object loaded on that carrier. This includes a self-propelled vehicle moving with an object loaded on its trolley. Thus, in this disclosure, holding does not necessarily require detachably fixing the object to the machine in any way; it is sufficient that the object is moved in a manner that allows it to be carried by any means.

[0049] This document discloses a method for recognizing the completion of payment for the first item. In at least one embodiment, a user of the service makes a payment to purchase the first item. The payment method may be before the machine moves the first item to a predetermined position, while the machine is moving the first item to a predetermined position, or after the machine has moved the first item to a predetermined position. This includes methods of online payment through the user's terminal or machine, or methods of payment to the machine that has delivered the goods. When payment is made to the machine, this includes methods in which the machine itself is equipped with a QR code or barcode reader capable of code payment. It also includes methods in which the machine is equipped with an image acquisition device and determines from the image that cash has been placed on the machine. Online payment methods include electronic payment methods and methods in which the payment information made by the user is communicated to or stored in the service provider's machine or server. The machine can recognize that an electronic payment has been made by receiving a communication from an external machine or server. These methods recognize the completion of payment for the first item.

[0050] The method of delivering the first object to the customer after the aforementioned recognition is disclosed. After the machine recognizes that the payment for the first object has been completed, it delivers the first object to the customer. Delivering to the customer includes releasing the machine's possession of the first object, transferring possession of the first object to the customer, or transferring the first object to the customer. Regardless of the method, any act that can be objectively observed and interpreted as such is considered to be the act of "delivering the first object to the customer." For example, this includes the act of a self-propelled vehicle moving with an item placed on an item carrying means (such as a basket or stand), and after the aforementioned recognition, presenting the item to the customer. The transfer of the first object is completed when the customer takes the first object in their hand. This also includes the act of a humanoid robot moving while holding an item in its hand, and after the aforementioned recognition, releasing the item held in its hand. By releasing the item in this way and the customer receiving the item, the first object is delivered to the customer. This includes the act of a drone loading an item into an item carrying device (such as a basket), with a lid or other cover to prevent the item from being taken, and then, after initial recognition, releasing the lock on the lid or cover, allowing a person to take the item. Thus, it is not necessarily required to have a mechanism to lock the item in place to prevent it from being handed over, but such a mechanism may be provided. Such embodiments will be described in detail later.

[0051] According to this embodiment, at least the ordered items can be automatically moved to a predetermined location and handed over to the customer after payment confirmation, offering convenience and industrial applicability. After careful consideration by the inventors, it was determined that by moving the ordered items to a predetermined location and handing over the first item to the customer only after recognizing the completion of payment for the first item, the risk of fraudulent acquisition of the first item is eliminated. Conventional technology is limited to transporting predetermined items to a predetermined location and offers no improvement in preventing fraudulent acquisition of the first item. This effect is completely unknown in conventional technology and possesses novelty and remarkable effectiveness.

[0052] A method for releasing the holding of the first object after the aforementioned recognition is disclosed. In at least one embodiment, the machine holds the first object. In this embodiment, holding includes physically preventing the article from leaving the machine. When observing an embodiment, any means that have the effect of physically preventing the article from leaving the machine is considered to fall under this configuration. For example, this includes a humanoid robot holding an article in its hand, and the article will not leave the robot unless the hand releases its grip. This also includes a drone or self-propelled vehicle placing an article in an article carrying means (such as a box), but the article carrying means is locked, and a person cannot open the article carrying means and take out the article unless the lock is removed. In this disclosure, any physical means that can prevent the handover of an article can be considered as holding. The machine releases the holding of the first object after recognizing the completion of the settlement of the first object. For example, in a large membership-based warehouse store, the machine is a humanoid robot that moves the ordered household goods to the checkout counter (corresponding to a predetermined position), holds the goods in its hands, recognizes that the user has completed payment for the purchase of the household goods at the checkout counter, and then releases the goods from its hands. This action allows the user to receive the household goods from the machine. On the other hand, the humanoid robot does not release its grip on the first object until the purchaser has completed payment. This embodiment is also applicable to self-propelled carts and drones, not just humanoid robots. These machines do not release their grip on the first object until payment is completed. In another embodiment, if an item is taken before the machine recognizes that payment for the first object has been completed, it may emit a sound or light to alert the user. If the customer has already completed payment when the machine moves the first object to the predetermined position, it immediately releases its grip on the first object. In this way, the machine can recognize the completion of payment at any point between acquiring the order information and moving the first object to the predetermined position. The system can be configured to allow payment at any point between acquiring order information and moving the first object to its designated position, and even if payment is not yet complete, the machine can move the first object to its designated position.In this case, the system can be configured so that if the machine moves the first object to a designated location and fails to recognize that payment for the first object has been completed (corresponding to a case where the buyer has placed an order but has not paid for it), the system will not deliver the first object to the customer. In this case, the machine can also be configured so that it returns (takes back) the first object from its designated location to its original location. After careful consideration by the inventor, it was found that for a machine, returning the first object from its designated location to its original location when a buyer has placed an order but has not paid for it would require significantly less effort than a human would. Therefore, since this amount of effort by the machine can be tolerated, the transport of the first object can be started immediately upon receiving an order, and payment can be postponed, resulting in a faster commencement of transport of the first object. This effect was not known in conventional human-delivered systems and therefore possesses novelty and a remarkable effect.

[0053] According to this embodiment, it is possible to prevent users from taking at least unpaid goods, and it offers the convenience and industrial applicability of automating the process from transportation to payment of goods. After sincere consideration by the inventors, it was found that the machine transporting the goods can prevent theft and shoplifting by recognizing the completion of payment and releasing the holding of the goods. This effect was not known in the prior art and is therefore novel and has a remarkable effect.

[0054] The method for delivering the first item to the customer is disclosed, after requesting the AI ​​to determine whether it is acceptable to deliver the first item to the customer. In at least one embodiment, the machine requests the AI ​​to determine whether it is acceptable to deliver the first item. The AI ​​is capable of various information processing. The machine or the user transmits information to the AI ​​for the AI ​​to make a decision. For example, the machine acquires an image of the user's face using an image acquisition device and transmits that image to the AI. The machine acquires the user's voiceprint information using an audio acquisition device. A voiceprint is an analysis of features such as the frequency and pitch of a voice, dialect, and the shape of the vocal cords, and includes information used to identify an individual. When ordering the first item, the user can also transmit their personal identification information (such as their My Number) to the AI. The user can also transmit an image of their face, a photograph of their My Number card or driver's license, or an audio recording of their voice to the AI. Biometric information (including vein authentication, palm print authentication, finger vein authentication, facial recognition, voiceprint authentication, and iris authentication) may also be used. The machine moves the first object to a designated position and, before handing the first object to the customer, acquires information about the person in front of it and transmits that information to the AI. This information includes facial images, images from documents such as My Number cards or driver's licenses, audio, biometric information, and one or more combinations thereof. Based on this information, the machine requests the AI ​​to determine whether it is safe to hand the first object to the person in front of it. The AI ​​determines whether the person in front of it is the same as or similar to the user, based on the information transmitted from the machine and the information transmitted from the user. For example, the AI ​​uses image analysis to determine if the image transmitted from the machine and the image transmitted from the customer are of the same face. In the case of voiceprints, the machine determines whether the user and the person in front of it are the same by determining the similarity of features such as voice frequency, pitch, dialect, and vocal cord shape. Similarly, the similarity of information can be used as a criterion for other biometric information. If the AI ​​determines that the user and the person in front of it are the same, it decides that it is safe to hand the first object to the customer. When the machine receives information that the AI ​​has determined it is acceptable to deliver the first object to the customer, it delivers the first object to the customer. The method of delivery can be any of the embodiments described herein.According to this embodiment, since the first object can be handed over only to the person who issued the order information, based on at least highly reliable information, it offers the convenience of preventing misuse and has industrial applicability. After sincere consideration by the inventors, this embodiment is particularly effective in places with many people. For example, in a large membership-based warehouse store where many people are waiting in line for goods, the method of releasing the first object only when the machine has successfully authenticated the person as described above eliminates the malfunction of handing over the first object to the wrong person. This effect is unknown in the prior art and has novelty and remarkable effectiveness.

[0055] This invention discloses a method for requesting an AI to determine whether it is permissible to hand over the first object to the customer, and for releasing the first object if the AI ​​determines that it is permissible. The method for releasing the object can employ any of the embodiments described herein. According to this embodiment, the first object can be handed over to at least the person who issued the order information, thus offering the convenience of preventing misuse and having industrial applicability.

[0056] The system requests the AI ​​to determine whether it is acceptable to hand over the first item to the customer, and if it does not, it will not hand over the first item to the customer. The system will disclose this method. The machine will receive information from the AI ​​indicating whether it is acceptable to hand over the first item. The machine will have a mechanism to hold the first item. If the machine does not receive information from the AI ​​indicating that it is acceptable to hand over the first item, it will continue to hold over the first item. For example, the machine is a humanoid robot that moves the ordered household goods to the checkout counter, recognizes that the user has completed payment for the purchase of the household goods at the checkout counter, and holds the household goods in its hands, not releasing them until it receives a determination from the AI. In this case, the user cannot release the robot's grip on its own and cannot forcibly take the household goods from the robot. This includes cases such as when the person in front of the robot is not recognized as the person who issued the order information or when payment has not yet been made. After receiving information from the AI ​​indicating that it is acceptable to hand over the first item, the robot releases the household goods from its hands. This action allows the user to receive the household goods from the machine. According to this embodiment, it is possible to prevent the first object from being handed over to someone without legitimate authority, thus offering the convenience of preventing misuse and potential for industrial application.

[0057] This document discloses an embodiment in which the AI ​​is requested to determine whether it is acceptable to hand over the first object to the customer, and if it does not determine that it is acceptable, the machine continues to hold the first object. In at least one embodiment, the machine begins to hold the first object from the moment it is moved to a predetermined position. The machine may begin to hold the first object before it is moved to a predetermined position, for example, during transport. In another embodiment, the machine does not hold the first object during transport (for example, by placing the first object in a carrying means such as a basket and transporting it), and begins to hold the first object before or after it is moved to a predetermined position (for example, by holding it by hand). The machine continues to hold the first object if the AI ​​does not determine that it is acceptable to hand over the first object to the customer. In this case, the machine continues to hold the object and waits until the customer completes the payment. That is, the machine can wait until the customer completes the payment, without pressuring the customer to make a payment. This improves the customer's comfort in using the service. Furthermore, this prevents the machine from not handing over the first item to the buyer simply because payment hasn't been received, and also prevents it from quickly taking it back to a logistics facility or the like. According to this embodiment, it is possible to prevent the first item from being handed over to anyone without legitimate authority, thus offering the convenience of preventing fraudulent use and potential for industrial application.

[0058] This invention discloses a method for moving a first object to a predetermined location, moving the first object from the predetermined location to the area around the customer, holding the first object so that the customer cannot acquire it, and releasing the hold when handing the first object to the customer. In at least one embodiment, the machine releases the hold when handing the first object to the customer. These methods can be any embodiment described herein. The timing of holding the first object so that the customer cannot acquire it may be after moving the first object from the predetermined location to the area around the customer. That is, when moving the first object from the predetermined location to the area around the customer, a machine or conveyor with a high speed of movement is used, and at the time of payment confirmation, the object is held by a machine or the like with excellent object holding ability. As a result of sincere consideration by the inventors, it has been found that this division of labor improves the speed of delivery. This effect is not known in the prior art and has novelty and remarkable effects. According to this embodiment, the first object can be handed over to at least the person who issued the order information, so there is the convenience of preventing misuse and industrial applicability.

[0059] The aforementioned machine is self-propelled, and a method for moving the first object to a predetermined position by self-propulsion is disclosed. As a result of sincere consideration by the inventor, it was found that the convenience of transporting goods to customers is dramatically improved if the machine has a self-propelled function and a function to hold the first object so that the customer cannot acquire it. In other words, conventional machines could transport goods to customers, but they did not have a function to hold the first object so that the customer could not acquire it. As a result, goods were sometimes delivered to the wrong person, which significantly reduced the convenience of the service. According to this embodiment, the machine has a self-propelled function and also holds the first object so that the customer cannot acquire it. By performing two roles with one machine, a highly mobile service can be provided. Furthermore, the first object is no longer delivered to the wrong person. This effect was not known in the prior art and has novelty and remarkable effects.

[0060] The aforementioned machine is a humanoid robot, and details of the machine are disclosed. After careful consideration by the inventor, it was found that if the machine is a humanoid robot, convenience is greatly improved. Stores and buildings are designed for bipedal humans, so drones and self-propelled vehicles may not be able to operate satisfactorily. For example, it is difficult for self-propelled vehicles to reach high-rise apartments, and drones have difficulty flying in residential areas with a network of power lines. If a customer is at a subway station and asks for an item to be delivered to the subway station's ticket gate, neither drones nor self-propelled vehicles may be able to handle the request. It was found that a bipedal robot is the optimal configuration for a machine that delivers goods to subways and all kinds of residences. In other words, because a humanoid robot has a range of motion and size similar to or comparable to that of a human, it can enter high-rise apartments and reach specific rooms, and can move without any difficulty even in residential areas with a network of power lines. Therefore, humanoid robots can generally reliably reach locations where people are present, and they excel in the versatility of moving a primary target to a predetermined position. For this reason, humanoid robots were one of the most preferable forms for providing services. This effect was unknown in conventional technology and possesses novelty and remarkable benefits.

[0061] The present invention discloses a method in which a humanoid robot moves a first object to a predetermined location, moves the first object from a predetermined location to the vicinity of the customer, holds the first object in its hands to prevent the customer from taking it, and releases the hold when handing the first object to the customer. In at least one embodiment, the humanoid robot moves the first object from a predetermined location to the vicinity of the customer. For example, in a store, it retrieves the first object from a warehouse or storage room and moves it to the cash register counter. If the customer is near the cash register counter, the robot moves the item to the front of the cash register counter. The robot holds the first object in its hands to prevent the customer from taking it. When handing the first object to the customer, it releases the hold. The robot releases the first object from its hands. According to this embodiment, there is the convenience and industrial applicability of being able to automatically hand over a predetermined item to a customer even in places where it is difficult for drones or autonomous vehicles to move.

[0062] A method of transfer is disclosed, wherein the device acquires order information for a first object, moves the first object to a predetermined location, recognizes the completion of settlement for the first object, and, after the recognition, delivers the first object to the customer. The machines and devices described herein can also be implemented as methods. The same applies to programs that operate the machines described in any of these specifications.

[0063] This invention discloses a method in which, when delivering a first item to a customer, the machine further verifies the customer's identity, and only delivers the first item, which is the ordered item, to the customer if the identity verification is successful. In at least one embodiment, the identity verification is performed by any of the methods described herein. This embodiment offers the convenience and industrial applicability of preventing at least one error in delivering an item to someone other than the customer.

[0064] Disclosed is a method of transfer in which a machine moves a first object to a predetermined location by self-propulsion, and when the machine arrives at the predetermined location, it verifies the identity of the recipient using an image acquisition device and facial recognition means, and if the identity verification or payment is successful, it hands over the first object to the recipient. These methods are based on the embodiments described herein. In at least one embodiment, the facial recognition means identifies the person based on the position and size of characteristic points on the face such as the eyes, nose, and mouth. The machine acquires an image of the face of the person in front of the machine using an image acquisition device. The user takes an image of their own face (including a photograph or video) using their terminal or the machine's image acquisition device, or transmits their own image that they already possess to the service provider's terminal, machine, or server. The machine receives, searches, or stores these images. The machine compares the image of the subject's face that it has taken with the received image of the face to confirm whether the person in front of it is a registered person. The machine makes a determination based on the ratio of distances related to the positions of the eyes and nose, the positions of characteristic points such as the eyes, nose, and mouth on the face, and information on the position and size of the facial area. Registration includes the registration of personal information and facial images by those who wish to use the goods transportation service. According to this embodiment, there is the convenience of eliminating at least the error of handing over goods to the wrong person, as well as the potential for industrial application.

[0065] This invention discloses a method for receiving voice input from an orderer using a voice recognition means capable of handling two or more foreign languages, and outputting order-related guidance in the orderer's chosen language. In at least one embodiment, a machine or the user's terminal acquires the user's voice via a voice acquisition device. The machine generates textual information related to the voice by analyzing the acquired voice using a natural language processing model. Capability to handle two or more foreign languages ​​means that the natural language processing model supports at least two or more foreign languages. The voice recognition means can be any voice acquisition device, including a microphone. The user orders a first item through their terminal or machine. For example, the machine includes a fixed terminal. A fixed terminal includes a terminal installed on land or in a building, but also includes a portable store terminal. Examples include a drive-through ordering terminal and a fixed terminal installed inside a store. Since the machine is capable of handling two or more foreign languages, it can also analyze the content of orders placed by foreigners in those foreign languages. The machine receives voice input from the orderer. "Accepting" includes obtaining voice data from a voice recognition means and receiving voice data from a machine or server. The machine determines which foreign language the voice data is in via a natural language processing model. The machine identifies the foreign language used by the user by determining which foreign language the user's voice data is in. The machine uses natural language processing and AI to output instructions regarding the order in the language selected by the customer when handing over the first item to the customer or verifying the customer's identity. The instructions regarding the order include some information related to the first item. For example, information such as "I have brought you some noodles." The customer's name may also be spoken. This information is converted into voice information using natural language processing and output by the machine's voice output unit. An AI capable of outputting in at least two languages ​​is used. After careful consideration by the inventor, it was found that when a machine delivers the first item, the customer may hesitate about whether they should really accept it. In such cases, the machine speaking will reassure the customer and allow them to accept the goods with confidence. This effect is unprecedented and possesses novelty and remarkable efficacy, as it was not known in any conventional technology.According to this embodiment, it can serve as a substitute for human delivery personnel and provide a fully automated delivery service with a human touch, offering both convenience and industrial applicability.

[0066] This document discloses a method by which, upon recognizing the completion of a payment for a first target, a device generates transaction information relating to the order or payment for the first target, connects to a blockchain network, and records the transaction information on the blockchain network. In at least one embodiment, the blockchain includes a database that directly connects terminals on the network and processes and records transaction records in a distributed manner using cryptographic technology. Each block that makes up the blockchain contains data called a "hash value" that represents the contents of the previous block. If someone attempts to tamper with data in a previously generated block, the hash value calculated from the modified block will be different from before, requiring the hash values ​​of all subsequent blocks to be changed. Thus, tampering with data managed by the blockchain is difficult. The transaction information relating to the order or payment for the first target can be any information relating to the transaction. For example, it may include information such as the customer's name, personal data, My Number, the name of the ordered item, quantity, price, shipping method, designated location, desired delivery time to the designated location, or one or more combinations of these. The machine generates the transaction information and connects to the blockchain network. This network includes the machine or network of the service provider, and the machine or network of the service provider operating the payment system. The machine transmits or stores transaction information on the blockchain network. This embodiment offers the convenience and industrial applicability of improving the confidentiality of transaction information with users.

[0067] Disclosed is a machine that includes means for detecting the inventory quantity of a first target and means for communicating with an inventory management system, and generates information requesting replenishment of the first target when the inventory quantity of the first target falls below a predetermined value. In at least one embodiment, the first target is stored in a warehouse attached to a store, or in a more centralized large warehouse or logistics facility (hereinafter referred to as "logistics facility, etc."). The logistics facility, etc. includes means for detecting the inventory quantity of the first target. For example, the logistics facility, etc. acquires information regarding the names and quantities of items brought into the facility. Furthermore, it acquires information regarding the names and quantities of items removed from the facility and records how many items remain in stock within the facility. In another embodiment, the logistics facility, etc. equips racks with video acquisition devices and counts how many items remain in the racks. Alternatively, a self-propelled cart equipped with a video acquisition device is driven in an automated warehouse, and the number of items present in each rack is determined via video transmitted from the self-propelled cart with secure communication. Alternatively, the names and quantities of items in stock can be determined by reading the barcodes of the items. This information is recorded in the inventory management system of the logistics facility, etc. The machine communicates with this inventory management system. The machine may be a self-propelled cart or self-propelled vehicle itself. In addition, the machine may be a drone or a humanoid robot. The machine moves goods from the logistics facility, etc. by moving the first target to a predetermined location. The machine transmits the name or number of the goods taken out of the logistics facility, etc. to the inventory management system. The inventory management system updates the name or number of the goods that have decreased as a result. The machine recognizes that the inventory quantity of the first target has fallen below a predetermined value by transmitting the name or number of the goods taken out of the logistics facility, etc. to the inventory management system, etc., or by communicating with the inventory management system. The predetermined value can be registered by the service provider or the operator of the logistics facility, etc. The machine obtains information on the predetermined value of the inventory quantity of the first target by communicating with the inventory management system. Furthermore, the machine recognizes the inventory quantity by communicating with the inventory management system. If the inventory quantity of the first target falls below a predetermined value due to its own transportation, the machine generates information requesting replenishment of the first target.The information requesting replenishment includes information requesting the purchase of goods that the system has transported, simply the number of items transported, and a combination of one or more of these pieces of information. According to this embodiment, at least the automated linkage between the machine that transports goods and logistics facilities offers the convenience of preventing inventory shortages and has potential for industrial application.

[0068] The following is an overview of the embodiments described above.

[0069] It is a machine, First, obtain the order information for the target item. Move the first object to the designated position, Upon recognizing the completion of the first target payment, After the aforementioned recognition, the first item is handed over to the customer. machine

[0070] It is a machine, Move the first object to the designated position, Upon recognizing the completion of the first target payment, After the aforementioned recognition, the holding of the first object is released. machine.

[0071] It is a machine, First, obtain the order information for the target item. Move the first object to the designated position, The AI ​​is asked to determine whether it is okay to hand over the first item to the customer. When deemed satisfactory, the first item is delivered to the customer. machine

[0072] It is a machine, Move the first object to the designated position, The AI ​​is asked to determine whether it is okay to hand over the first item to the customer. When it is determined to be good, release the first target from holding. machine.

[0073] It is a machine, First, obtain the order information for the target item. Move the first object to the designated position, The AI ​​is asked to determine whether it is okay to hand over the first item to the customer. If it is not deemed satisfactory, the first item will not be delivered to the customer. machine

[0074] It is a machine, Move the first object to the designated position, The AI ​​is asked to determine whether it is okay to hand over the first item to the customer. If it is not judged as good, continue to hold the first target. machine.

[0075] A machine described in any of the above, When moving the first object to a predetermined location, the first object is moved from the predetermined location to the area around the customer, and held in a manner that prevents the customer from acquiring the first object. When handing over the first item to the customer, the aforementioned retention is released. machine

[0076] A machine described in any of the above, The aforementioned machine is self-propelled, The first object is moved to a designated position by self-propulsion. machine

[0077] A machine described in any of the above, The aforementioned machine is a humanoid robot. machine

[0078] A machine described in any of the above, The aforementioned machine is a humanoid robot, When moving the first object to a designated location, the first object is moved from its designated location to the area around the customer, and held by hand so that the customer cannot obtain the first object. When handing over the first item to the customer, the aforementioned retention is released. machine

[0079] A method of transfer, where the device First, obtain the order information for the target item. Move the first object to the designated position, Upon recognizing the completion of the first target payment, After the aforementioned recognition, the first item is handed over to the customer. method

[0080] The machine described above, When moving the first object to a predetermined location, the first object is moved from the predetermined location to the area around the customer, and held in a manner that prevents the customer from acquiring the first object. When handing over the first item to the customer, the aforementioned retention is released. method

[0081] A program to operate any of the machines described above.

[0082] The method described above, When handing over the first item to the customer, the machine... Furthermore, we will verify the identity of the person placing the order. Only after successful identity verification will the ordered item (item 1) be delivered to the customer. method.

[0083] A method of transfer, where the machine The machine moves itself to move the first object to a predetermined position. When the machine arrives at the designated location, the recipient's identity is verified using a video acquisition device and facial recognition means. If identity verification or payment is successful, the first item will be delivered to the recipient. method.

[0084] The method described above, Using a voice recognition system capable of supporting two or more foreign languages, the system accepts voice input from the customer placing the order. The system will output order-related instructions in the customer's chosen language. method.

[0085] The method described above, When recognizing the completion of the settlement of the first target, the device generates transaction information relating to the order or settlement of the first target. Connect to the blockchain network, Record transaction information on a blockchain network. method.

[0086] The method described above, wherein the apparatus is The system includes means for detecting the quantity of a first target item in stock, and means for communicating with an inventory management system. If the inventory quantity of the first item falls below a predetermined value, information requesting replenishment of the first item is generated. machine.

[0087] In at least one embodiment, the product can be handed over by viewing the payment screen, the payment number, or the code on the purchase screen, and if a ticket has been purchased, entry can be confirmed. The machine acquires video from the user's terminal via a video acquisition device. The service provider can provide an online sales homepage and a method for purchasing goods and products online and making the necessary payments. Regardless of the method, once payment is completed, a screen indicating that payment has been completed is displayed. This screen includes a statement that payment has been completed, a unique payment number, a predetermined screen that is only displayed when payment is completed, a code indicating the payment number, and one or more combinations thereof (hereinafter referred to as "screen, etc."). The machine can also read the code displayed on the user's terminal using a code reader. The code includes a QR code, but may also be a barcode, or any code is acceptable. When the machine recognizes the completion of payment for the first item, it checks the screen of the machine or terminal presented by the customer, and when it confirms the predetermined video, it hands over the first item to the customer. The predetermined video includes the aforementioned screen, etc. Tickets include admission tickets, transportation tickets, and multi-ride tickets. If the item purchased by the user is an electronic ticket available online, the machine will allow the purchaser to proceed to a designated location after verifying a specified image or other information. In this case, the machine, either by itself or in cooperation with another machine, is equipped with a mechanism to prevent a person from entering the designated location if the specified image cannot be verified. An example is an entrance gate. For instance, at a concert venue, the machine will unlock the entrance gate after verifying a specified image or other information, and allow entry to those who present that information. If the specified image or other information cannot be verified, the entrance gate will remain locked. According to this embodiment, at the very least, the convenience of identity verification is improved and there is potential for industrial application.

[0088] In at least one embodiment, the machine acquires a video of the customer at one of the following times. This timing includes before payment, when handing over the first item to the customer after recognizing the completion of payment for the first item, after handing it over, or one or more combinations thereof. The video of the customer includes images, video, or combinations thereof. The video may be as short as one second, and may capture the entire time the customer is in front of the machine. The machine stores the video of the customer or transmits it to another machine or server. The machine or server transmits the video of the customer to another machine or server. The machine can further store or transmit information about the customer associated with the video. For example, for a customer named A, this could include information that payment was completed immediately, and information about how many times they have purchased. The machine can further modify its actions based on the stored information or information received from another machine or server. For example, if the customer is a repeat customer, it may say, "Thank you for your continued patronage." On the other hand, if a customer has delayed payment or stolen goods without making payment, the system will change its behavior, such as not handing over the goods to the customer or emitting a predetermined warning sound. According to this embodiment, at the very least, the possibility of goods being stolen can be prevented, and the system has the convenience and industrial applicability of automatically measuring the trustworthiness of the customer.

[0089] In at least one embodiment, the system can be configured as a medication dispensing machine installed in hospitals or pharmacies where patients receive their prescription medications. The machine acquires order information for a first item, which is a medication, and moves the first item from the drug storage room or drug storage cabinet to a predetermined location. This predetermined location includes the place where patients receive their medications. At the predetermined location, the machine recognizes that payment for the first item has been completed, and after this recognition, hands the first item to the patient. In this case, the machine can function as an automated medication dispensing machine. After careful consideration by the inventors, this system is particularly effective in hospitals and pharmacies. Hospitals and pharmacies often experience emergency outpatient visits. However, conventional hospitals and pharmacies rely on human staff for accounting, making it impossible to hand over medications outside of business hours. Patients who are not in a critical condition requiring emergency transport at night had to wait until the next day's opening hours for their medications, simply enduring the wait. This embodiment automates the handover of medications, enabling 24-hour service. Medication can be handed over even at night. This effect is unprecedented and possesses novelty and remarkable efficacy, as it was not known in any conventional technology.

[0090] In at least one embodiment, the embodiments described herein can be applied to face-to-face sales, taking orders in restaurants, authentication before handing over items such as barcode payments, ride-hailing services, food delivery services, and freight transport services.

[0091] The invention disclosed herein only needs to achieve at least one of the effects described above.

Claims

1. It is a machine, First, obtain the order information for the target item. Move the first object to the designated position. Upon recognizing the completion of the first target payment, After the aforementioned recognition, the first item is handed over to the customer. machine

2. It is a machine, Move the first object to the designated position. Upon recognizing the completion of the first target payment, After the aforementioned recognition, the holding of the first object is released. machine.

3. It is a machine, First, obtain the order information for the target item. Move the first object to the designated position. The AI ​​is asked to determine whether it is okay to hand over the first item to the customer. When deemed satisfactory, the first item is delivered to the customer. machine

4. It is a machine, Move the first object to the designated position. The AI ​​is asked to determine whether it is okay to hand over the first item to the customer. When it is determined to be good, release the first target from being held. machine.

5. It is a machine, First, obtain the order information for the target item. Move the first object to the designated position. The AI ​​is asked to determine whether it is okay to hand over the first item to the customer. If it is not deemed satisfactory, the first item will not be delivered to the customer. machine

6. It is a machine, Move the first object to the designated position. The AI ​​is asked to determine whether it is okay to hand over the first item to the customer. If it is not judged as good, continue to hold the first target. machine.

7. A machine according to any one of claims 1 to 4, When moving the first object to a predetermined location, the first object is moved from the predetermined location to the area around the customer, and held in a manner that prevents the customer from acquiring the first object. When handing over the first item to the customer, the aforementioned retention is released. machine

8. A machine according to any one of claims 1 to 6, The aforementioned machine is self-propelled, The first object is moved to a designated position by self-propulsion. machine

9. A machine according to any one of claims 1 to 6, The aforementioned machine is a humanoid robot. machine

10. A machine according to any one of claims 1 to 4, The aforementioned machine is a humanoid robot, When moving the first object to a designated position, the first object is moved from the designated location to the area around the customer, and held by hand so that the customer cannot obtain the first object. When handing over the first item to the customer, the aforementioned retention is released. machine

11. A method of transfer, where the device First, obtain the order information for the target item. Move the first object to the designated position. Upon recognizing the completion of the first target payment, After the aforementioned recognition, the first item is handed over to the customer. method

12. The machine according to claim 11, When moving the first object to a predetermined location, the first object is moved from the predetermined location to the area around the customer, and held in a manner that prevents the customer from acquiring the first object. When handing over the first item to the customer, the aforementioned retention is released. method

13. A program for operating the machine described in any one of claims 1 to 6.

14. The method according to claim 11, When handing over the first item to the customer, the machine... Furthermore, we will verify the identity of the person placing the order. Only after successful identity verification will the ordered item (item 1) be delivered to the customer. method.

15. A method of transfer, where the machine The machine moves itself to move the first object to a predetermined position. When the machine arrives at the designated location, the recipient's identity is verified using a video acquisition device and facial recognition means. If identity verification or payment is successful, the first item will be delivered to the recipient. method.

16. The method according to claim 11, Using a voice recognition system capable of supporting two or more foreign languages, the system accepts voice input from the customer placing the order. The system will output order-related instructions in the customer's chosen language. method.

17. The method according to claim 11, When recognizing the completion of the settlement of the first target, the device generates transaction information relating to the order or settlement of the first target. Connect to the blockchain network, Record transaction information on a blockchain network. method.

18. The method according to claim 11, wherein the apparatus is The system includes means for detecting the quantity of a first target item in stock, and means for communicating with an inventory management system. If the inventory quantity of the first item falls below a predetermined value, information requesting replenishment of the first item is generated. machine.