system

Abstract

The system according to the embodiment aims to automatically check the remaining amount of lip balm and refill it. [Solution] A system according to an embodiment includes a storage unit, an image recognition unit, and a refill unit. The storage unit stores lip balm. The image recognition unit checks the remaining amount of lip balm stored in the storage unit. The refill unit automatically refills the lip balm when the image recognition unit determines that the remaining amount is below a certain level.

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] Conventional technology has the drawback of requiring the user to manually check the remaining amount of lip balm and refill it, which is time-consuming.

[0005] The system according to the embodiment aims to automatically check the remaining amount of lip balm and refill it. [Means for solving the problem]

[0006] The system according to the embodiment includes a storage unit, an image recognition unit, and a refill unit. The storage unit stores lip balm. The image recognition unit checks the remaining amount of lip balm stored in the storage unit. The refill unit automatically refills the lip balm when the image recognition unit determines that the remaining amount is below a certain level. [Effects of the Invention]

[0007] The system according to the embodiment can automatically check the remaining amount of lip balm and refill it. [Brief explanation of the drawings]

[0008] [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. DETAILED DESCRIPTION OF THE INVENTION

[0009] 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.

[0010] First, the terms used in the following description will be explained.

[0011] 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, the 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), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] 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.

[0013] 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.

[0014] 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), and Bluetooth (registered trademark).

[0015] 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."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 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.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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).

[0019] 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.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. 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 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. 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.

[0022] 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.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 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.

[0025] 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. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) In a lip balm management system according to an embodiment of the present invention, when a lip balm is placed in a dock, image recognition AI checks the remaining amount of lip balm. If the remaining amount is low and it is determined to be unusable, the system automatically refills the remaining lip balm into another container. This lip balm management system reduces waste and ensures that lip balm is always available. For example, a user places lip balm in the dock. To do this, the user simply places the lip balm in the dock. Next, image recognition AI checks the remaining amount of lip balm. The image recognition AI checks the remaining amount of lip balm using image analysis technology. For example, it can accurately determine the remaining amount by detecting changes in the height and color of the lip balm. If the remaining amount is low, the system automatically refills the remaining lip balm into another container. The refilling process is performed using a dedicated refilling mechanism. For example, it includes a plunger for pushing out the lip balm and a clamp for securing the refilling container. This process is fully automated, allowing users to keep their lip balm always available without any effort. This lip balm management system reduces waste and ensures that lip balm is always available.

[0029] A lip balm management system according to an embodiment includes a storage unit, an image recognition unit, and a refill unit. The storage unit stores lip balm. Examples of lip balm include, but are not limited to, stick and tube types. The image recognition unit checks the remaining amount of lip balm stored in the storage unit. The image recognition unit includes, for example, a sensor that detects changes in the height and color of the lip balm. For example, the image recognition unit measures the height of the lip balm in millimeters to determine the remaining amount. The image recognition unit can also analyze changes in hue, saturation, and brightness to detect changes in the color of the lip balm. The refill unit automatically refills the lip balm when the image recognition unit determines that the remaining amount is below a certain standard. The refill unit includes, for example, a plunger for pushing out the lip balm. The plunger is a mechanism for pushing out the lip balm, and the plunger's material and operating mechanism are examples of the mechanism. The refill unit also includes a clamp for securing the refilling container. The clamp is a mechanism for stably securing the refilling container, and the clamp's material and fastening method are examples of the mechanism. Furthermore, the refill unit is equipped with a safety mechanism to prevent the lip balm from spilling when refilling. The safety mechanism includes a valve and seal to prevent the lip balm from spilling. This allows the lip balm management system to check the remaining amount of lip balm and automatically refill it if it is unusable, reducing waste and ensuring that the lip balm is always usable.

[0030] The image recognition unit may include a sensor that detects changes in the height or color of the lip balm. The image recognition unit may include, for example, a sensor that measures the height of the lip balm in millimeters. For example, the image recognition unit may use a laser sensor to measure the height of the lip balm. The laser sensor can measure the height of the lip balm with high accuracy. The image recognition unit may also include a sensor that analyzes changes in hue, saturation, and brightness to detect changes in the color of the lip balm. For example, the image recognition unit may use a camera and an image processing algorithm to detect changes in the color of the lip balm. The camera takes an image of the lip balm, and the image processing algorithm analyzes the color change. In this way, the image recognition unit can accurately determine the remaining amount of lip balm by detecting changes in the height and color of the lip balm.

[0031] The refill unit can include a plunger for pushing out the lip balm. The refill unit includes, for example, a plunger for pushing out the lip balm. The plunger is a mechanism for pushing out the lip balm, and includes, for example, the material and operating mechanism of the plunger. For example, the plunger can have a structure combining a metal rod and a spring. The plunger pushes out the lip balm using the force of the spring. The plunger can also push out the lip balm using an electric motor. The electric motor can accurately control the plunger and smoothly push out the lip balm. Thus, by including a plunger for pushing out the lip balm, the refill unit can be smoothly refilled.

[0032] The refill unit can include a clamp for fixing the refilling container. The refill unit, for example, includes a clamp for fixing the refilling container. The clamp is a mechanism for stably fixing the refilling container, and includes, for example, the material of the clamp and the fixing method. For example, the clamp can have a structure combining a metal arm and a screw. The clamp tightens the arm by turning the screw to fix the container. The clamp can also use a spring to fix the container. The spring firmly fixes the container and improves stability during refilling. Thus, by including a clamp for fixing the refilling container, stability during refilling is improved.

[0033] The refill unit may be equipped with a safety mechanism to prevent the lip balm from spilling during refilling. The refill unit may be equipped with, for example, a safety mechanism to prevent the lip balm from spilling during refilling. The safety mechanism may include a valve, a seal, or the like to prevent the lip balm from spilling. For example, the safety mechanism may be equipped with a valve to control the flow of the lip balm. The valve controls the flow of the lip balm and prevents spilling. The safety mechanism may also be equipped with a seal to block the flow of the lip balm. The seal blocks the flow of the lip balm and prevents spilling. Thus, by providing the refill unit with a safety mechanism to prevent the lip balm from spilling during refilling, the refilling process can be performed safely.

[0034] The storage unit can select an appropriate storage method depending on the shape and size of the lip balm when storing it. For example, the storage unit selects an appropriate storage method depending on the shape and size of the lip balm when storing it. The storage unit can be equipped with a sensor for detecting the shape and size of the lip balm. For example, the storage unit can be equipped with a sensor for measuring the diameter of the lip balm. The sensor measures the diameter of the lip balm and selects an appropriate storage method. The storage unit can also be equipped with a sensor for measuring the height of the lip balm. The sensor measures the height of the lip balm and selects an appropriate storage method. This allows the storage unit to select the optimal storage method depending on the shape and size of the lip balm, thereby improving storage stability. For example, if the diameter of the lip balm is large, the storage unit adjusts the clamp to secure it firmly. Furthermore, if the height of the lip balm is low, the storage unit raises the bottom to stabilize it. Furthermore, if the lip balm has an unusual shape, the storage unit can use a dedicated adapter to store it appropriately.

[0035] The storage unit has a function for identifying the type and brand of lip balm and can automatically select an appropriate storage method. The storage unit, for example, has a function for identifying the type and brand of lip balm and can automatically select an appropriate storage method. The storage unit can be equipped with a sensor for identifying the type and brand of lip balm. For example, the storage unit can be equipped with an image recognition sensor for identifying the brand logo of the lip balm. The image recognition sensor identifies the brand logo of the lip balm and selects an appropriate storage method. The storage unit can also be equipped with a sensor for reading ingredient information of the lip balm. The sensor reads the ingredient information of the lip balm and stores it at an appropriate temperature. Furthermore, the storage unit can record the frequency of use of the lip balm and automatically select an optimal storage location. In this way, the storage unit can automatically select an appropriate storage method by identifying the type and brand of lip balm. For example, the storage unit identifies the brand logo of the lip balm and selects a dedicated storage method. The storage unit also reads the ingredient information of the lip balm and stores it at an appropriate temperature. Furthermore, the storage unit can record the frequency of use of the lip balm and automatically select an optimal storage location.

[0036] The storage unit may have a function for controlling the temperature and humidity of the lip balm, thereby providing an appropriate storage environment. For example, the storage unit may have a function for controlling the temperature and humidity of the lip balm, thereby providing an appropriate storage environment. The storage unit may have a cooling function for controlling the temperature of the lip balm. For example, the storage unit may use the cooling function to maintain a constant temperature within the storage unit. The storage unit may also have a humidification / dehumidification function for controlling the humidity of the lip balm. For example, the storage unit may use the humidification function to maintain a constant humidity within the storage unit. Furthermore, the storage unit may have a sensor for monitoring the storage environment of the lip balm. The sensor monitors the temperature and humidity within the storage unit in real time to maintain optimal storage conditions. In this way, the storage unit can provide an optimal storage environment by controlling the temperature and humidity of the lip balm. For example, the storage unit may use the cooling function to maintain a constant temperature within the storage unit. The storage unit may also use the humidification / dehumidification function to maintain a constant humidity within the storage unit. Furthermore, the storage unit may use a sensor to monitor the temperature and humidity within the storage unit in real time to maintain optimal storage conditions.

[0037] The storage unit has a function of recording the usage history of the lip balm and can notify the user of the appropriate timing for use. The storage unit, for example, has a function of recording the usage history of the lip balm and can notify the user of the appropriate timing for use. The storage unit can be equipped with a sensor for recording the number of times the lip balm has been used. For example, the storage unit records the number of times the lip balm has been used and notifies the user after a certain number of uses. The storage unit can also be equipped with a sensor for recording the interval between uses of the lip balm. The sensor records the interval between uses of the lip balm and notifies the user of the appropriate timing for use. Furthermore, the storage unit can be equipped with an algorithm for analyzing the usage history of the lip balm and suggesting the optimal timing for use. In this way, the storage unit can notify the user of the appropriate timing for use by recording the usage history of the lip balm. For example, the storage unit records the number of times the lip balm has been used and notifies the user after a certain number of uses. Furthermore, the storage unit records the interval between uses of the lip balm and notifies the user of the appropriate timing for use. Furthermore, the storage unit analyzes the usage history of the lip balm and suggests the optimal timing for use.

[0038] The image recognition unit can more accurately determine the remaining amount of lip balm by taking into account the frequency of use and usage conditions during image recognition. For example, the image recognition unit can more accurately determine the remaining amount by taking into account the frequency of use and usage conditions during image recognition. The image recognition unit can include a sensor for recording the frequency of use of the lip balm. For example, the image recognition unit records the frequency of use of the lip balm and predicts the remaining amount. The image recognition unit can also include a sensor for analyzing the usage conditions of the lip balm. The sensor analyzes the usage conditions of the lip balm and accurately determines the remaining amount. Furthermore, the image recognition unit can also include an algorithm for predicting the remaining amount by referring to the usage history of the lip balm. In this way, the image recognition unit can more accurately determine the remaining amount by taking into account the frequency of use and usage conditions of the lip balm. For example, the image recognition unit can record the frequency of use of the lip balm and predict the remaining amount. Furthermore, the image recognition unit can analyze the usage conditions of the lip balm and accurately determine the remaining amount. Furthermore, the image recognition unit can predict the remaining amount by referring to the usage history of the lip balm.

[0039] The image recognition unit has a function to detect the ingredients and quality of the lip balm and can determine whether it is usable. The image recognition unit has, for example, a function to detect the ingredients and quality of the lip balm and can determine whether it is usable. The image recognition unit can have a sensor for analyzing the ingredients of the lip balm. For example, the image recognition unit can use a chemical analysis sensor to analyze the ingredients of the lip balm and confirm its quality. The chemical analysis sensor analyzes the ingredients of the lip balm and confirms its quality. The image recognition unit can also have an optical analysis sensor for detecting the quality of the lip balm. The optical analysis sensor detects the quality of the lip balm and determines whether it is usable. Furthermore, the image recognition unit can have an algorithm for reading ingredient information of the lip balm and evaluating the quality. In this way, the image recognition unit can detect the ingredients and quality of the lip balm and determine whether it is usable. For example, the image recognition unit analyzes the ingredients of the lip balm and confirms its quality. The image recognition unit detects the quality of the lip balm and determines whether it is usable. Furthermore, the image recognition unit reads ingredient information of the lip balm and evaluates its quality.

[0040] The image recognition unit has a function of identifying the package design of the lip balm and can automatically classify the brand and type. The image recognition unit has a function of identifying the package design of the lip balm and can automatically classify the brand and type. The image recognition unit can have a sensor for identifying the package design of the lip balm. For example, the image recognition unit can use an image recognition sensor to identify the package design of the lip balm. The image recognition sensor identifies the package design of the lip balm and automatically classifies the brand. The image recognition unit can also have a sensor for identifying the type of lip balm. The sensor identifies the type of lip balm and performs appropriate classification. Furthermore, the image recognition unit can have an algorithm for analyzing the package design of the lip balm and automatically classifying the brand and type. In this way, the image recognition unit can automatically classify the brand and type by identifying the package design of the lip balm. For example, the image recognition unit identifies the package design of the lip balm and automatically classifies the brand. The image recognition unit also identifies the type of lip balm and performs appropriate classification. Furthermore, the image recognition unit analyzes the packaging design of lip balm and automatically classifies it by brand and type.

[0041] The image recognition unit has a function of detecting the expiration date of the lip balm and can notify the user when the expiration date is approaching. The image recognition unit, for example, has a function of detecting the expiration date of the lip balm and can notify the user when the expiration date is approaching. The image recognition unit can include a sensor for detecting the expiration date of the lip balm. For example, the image recognition unit can use a sensor that reads the printing on the package to detect the expiration date of the lip balm. The sensor reads the expiration date printed on the lip balm package and notifies the user when the expiration date is approaching. The image recognition unit can also include a sensor that references the expiration date of the lip balm from a database. The sensor references the expiration date of the lip balm from the database and notifies the user when the expiration date is approaching. Furthermore, the image recognition unit can also include an algorithm for analyzing the expiration date of the lip balm and displaying an alert when the expiration date is approaching. In this way, the image recognition unit can detect the expiration date of the lip balm and notify the user when the expiration date is approaching. For example, the image recognition unit detects the expiration date of the lip balm and notifies the user when the expiration date is approaching. The image recognition unit can also check the expiration date of the lip balm and notify the user at an appropriate time. Furthermore, the image recognition unit analyzes the expiration date of the lip balm and displays an alert if the expiration date is approaching.

[0042] The refilling unit can select an appropriate refilling method by taking into account the viscosity and temperature of the lip balm when refilling. For example, the refilling unit selects an appropriate refilling method by taking into account the viscosity and temperature of the lip balm when refilling. The refilling unit can include a sensor for measuring the viscosity of the lip balm. For example, the refilling unit can use a viscometer to measure the viscosity of the lip balm and adjust the refilling speed. The viscometer measures the viscosity of the lip balm and adjusts the refilling speed. The refilling unit can also include a sensor for measuring the temperature of the lip balm. The sensor measures the temperature of the lip balm and selects an appropriate refilling method. Furthermore, the refilling unit can include an algorithm for monitoring the viscosity and temperature of the lip balm in real time and selecting the optimal refilling method. This allows the refilling unit to select the optimal refilling method by taking into account the viscosity and temperature of the lip balm. For example, if the viscosity of the lip balm is high, the refilling unit slows down the refilling speed to refill accurately. Furthermore, if the temperature of the lip balm is low, the refilling unit warms it before refilling. In addition, the refilling unit monitors the viscosity and temperature of the lip balm in real time and selects the optimal refilling method.

[0043] The refill unit has a function of uniformly mixing the ingredients of the lip balm, thereby maintaining quality. The refill unit, for example, has a function of uniformly mixing the ingredients of the lip balm, thereby maintaining quality. The refill unit can have a stirring function for uniformly mixing the ingredients of the lip balm. For example, the refill unit can use a stirrer to uniformly mix the ingredients of the lip balm. The stirrer mixes the ingredients of the lip balm uniformly. The refill unit can also have a mixer for uniformly mixing the ingredients of the lip balm at the time of refilling to prevent separation. The mixer mixes the ingredients of the lip balm uniformly. The refill unit can also have a dedicated mixer for uniformly mixing the ingredients of the lip balm. In this way, the refill unit can maintain quality by uniformly mixing the ingredients of the lip balm. For example, the refill unit has a stirring function for uniformly mixing the ingredients of the lip balm. The refill unit mixes the ingredients of the lip balm uniformly at the time of refilling to prevent separation. Furthermore, the refill section uses a special mixer to mix the lip balm ingredients evenly.

[0044] The refill unit has a function of displaying the remaining amount of lip balm in real time, thereby visually notifying the user. The refill unit, for example, has a function of displaying the remaining amount of lip balm in real time, thereby visually notifying the user. The refill unit can have a display for displaying the remaining amount of lip balm. For example, the refill unit can use an LCD display to display the remaining amount of lip balm in real time. The LCD display visually displays the remaining amount of lip balm. The refill unit can also have a display for displaying an alert when the remaining amount of lip balm is low. The display displays an alert when the remaining amount of lip balm is low, prompting the user to refill. The refill unit can also have a display for displaying the remaining amount of lip balm in a graph. In this way, the refill unit can visually notify the user by displaying the remaining amount of lip balm in real time. For example, the refill unit displays the remaining amount of lip balm in real time, thereby visually notifying the user. The refill unit also displays an alert when the remaining amount of lip balm is low, prompting the user to refill. Additionally, the refill unit displays a graph of the remaining amount of lip balm to provide a visual notification to the user.

[0045] The refill unit has a function for automatically cleaning a refilling container of lip balm, thereby enabling hygienic refilling. The refill unit, for example, has a function for automatically cleaning a refilling container of lip balm, thereby enabling hygienic refilling. The refill unit can have a cleaning function for cleaning the refilling container. For example, the refill unit can use a dedicated cleaning solution to automatically clean the refilling container. The cleaning solution thoroughly cleans the inside of the container, maintaining a hygienic state. The refill unit can also have a drying function for drying the refilling container after cleaning. The drying function quickly dries the inside of the container, making it reusable. Furthermore, the refill unit can have an algorithm for selecting the type of cleaning solution and the cleaning method when cleaning the refilling container. As a result, the refill unit can automatically clean the refilling container of lip balm, thereby enabling hygienic refilling. For example, the refill unit has a function for automatically cleaning the refilling container. The refill unit also has a function for drying the refilling container after cleaning. Furthermore, when cleaning the containers into which the refilling unit is to be refilled, the refilling unit thoroughly cleans them using a dedicated cleaning solution.

[0046] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0047] The lip balm management system can also have the ability to learn a user's usage patterns and predict the optimal timing for refilling. For example, the system can record how often a user uses lip balm and the time of day, and based on this, predict the next time to refill. The system can also automatically refill lip balm before the remaining amount is low, depending on the user's usage pattern. Furthermore, the system can analyze the user's usage patterns and notify the user of the optimal time to refill, allowing the user to use lip balm without running out.

[0048] The lip balm management system can also have the function of acquiring information about the ingredients of lip balms and comparing it with allergy information. For example, the system can read the ingredient information of a lip balm and compare it with the allergy information registered by the user. The system can also display a warning if the product contains allergenic ingredients and urge the user to avoid using it. Furthermore, the system can help the user select a lip balm that is suitable for them based on the allergy information.

[0049] The lip balm management system can also analyze the usage history of the lip balm and adjust the optimal storage temperature. For example, the system can record the usage history of the lip balm and set the optimal storage temperature based on the frequency of use and the environment in which it is used. The system can also automatically adjust the storage temperature to maintain the quality of the lip balm. Furthermore, the system can monitor fluctuations in storage temperature in real time to maintain the optimal storage environment.

[0050] The lip balm management system can also monitor lip balm usage and automatically adjust refill amounts based on usage. For example, the system can record the amount of lip balm used and adjust refill amounts based on frequency and amount of use. The system can also analyze lip balm usage and automatically set the optimal refill amount. Furthermore, the system can monitor fluctuations in usage in real time and maintain the optimal refill amount.

[0051] The lip balm management system can also manage the expiration date of the lip balm and provide a notification when the expiration date is approaching. For example, the system can record the expiration date of the lip balm and notify the user when the expiration date is approaching. The system can also automatically discard expired lip balm. Furthermore, the system can send a notification to the user based on the expiration date, encouraging them to purchase a new lip balm.

[0052] The processing flow of the first embodiment will be briefly explained below.

[0053] Step 1: The storage section stores lip balm. Lip balm may be in a stick type or a tube type, but is not limited to these examples. Step 2: The image recognition unit checks the remaining amount of lip balm stored in the storage unit. The image recognition unit is equipped with a sensor that detects changes in the height and color of the lip balm, for example. It measures the height of the lip balm in millimeters and determines the remaining amount. It can also analyze changes in hue, saturation, and brightness to detect changes in the color of the lip balm. Step 3: The refill unit automatically refills when the image recognition unit determines that the remaining amount is below a certain standard. The refill unit includes, for example, a plunger for pushing out the lip balm. The plunger is a mechanism for pushing out the lip balm, and includes, for example, the material of the plunger and its operating mechanism. The refill unit also includes a clamp for fixing the refilled container. The clamp is a mechanism for stably fixing the refilled container, and includes, for example, the material of the clamp and the fixing method. The refill unit also includes a safety mechanism for preventing the lip balm from spilling during refilling. The safety mechanism includes, for example, a valve or seal for preventing the lip balm from spilling.

[0054] (Example 2) In a lip balm management system according to an embodiment of the present invention, when a lip balm is placed in a dock, image recognition AI checks the remaining amount of lip balm. If the remaining amount is low and it is determined to be unusable, the system automatically refills the remaining lip balm into another container. This lip balm management system reduces waste and ensures that lip balm is always available. For example, a user places lip balm in the dock. To do this, the user simply places the lip balm in the dock. Next, image recognition AI checks the remaining amount of lip balm. The image recognition AI checks the remaining amount of lip balm using image analysis technology. For example, it can accurately determine the remaining amount by detecting changes in the height and color of the lip balm. If the remaining amount is low, the system automatically refills the remaining lip balm into another container. The refilling process is performed using a dedicated refilling mechanism. For example, it includes a plunger for pushing out the lip balm and a clamp for securing the refilling container. This process is fully automated, allowing users to keep their lip balm always available without any effort. This lip balm management system reduces waste and ensures that lip balm is always available.

[0055] A lip balm management system according to an embodiment includes a storage unit, an image recognition unit, and a refill unit. The storage unit stores lip balm. Examples of lip balm include, but are not limited to, stick and tube types. The image recognition unit checks the remaining amount of lip balm stored in the storage unit. The image recognition unit includes, for example, a sensor that detects changes in the height and color of the lip balm. For example, the image recognition unit measures the height of the lip balm in millimeters to determine the remaining amount. The image recognition unit can also analyze changes in hue, saturation, and brightness to detect changes in the color of the lip balm. The refill unit automatically refills the lip balm when the image recognition unit determines that the remaining amount is below a certain standard. The refill unit includes, for example, a plunger for pushing out the lip balm. The plunger is a mechanism for pushing out the lip balm, and the plunger's material and operating mechanism are examples of the mechanism. The refill unit also includes a clamp for securing the refilling container. The clamp is a mechanism for stably securing the refilling container, and the clamp's material and fastening method are examples of the mechanism. Furthermore, the refill unit is equipped with a safety mechanism to prevent the lip balm from spilling when refilling. The safety mechanism includes a valve and seal to prevent the lip balm from spilling. This allows the lip balm management system to check the remaining amount of lip balm and automatically refill it if it is unusable, reducing waste and ensuring that the lip balm is always usable.

[0056] The image recognition unit may include a sensor that detects changes in the height or color of the lip balm. The image recognition unit may include, for example, a sensor that measures the height of the lip balm in millimeters. For example, the image recognition unit may use a laser sensor to measure the height of the lip balm. The laser sensor can measure the height of the lip balm with high accuracy. The image recognition unit may also include a sensor that analyzes changes in hue, saturation, and brightness to detect changes in the color of the lip balm. For example, the image recognition unit may use a camera and an image processing algorithm to detect changes in the color of the lip balm. The camera takes an image of the lip balm, and the image processing algorithm analyzes the color change. In this way, the image recognition unit can accurately determine the remaining amount of lip balm by detecting changes in the height and color of the lip balm.

[0057] The refill unit can include a plunger for pushing out the lip balm. The refill unit includes, for example, a plunger for pushing out the lip balm. The plunger is a mechanism for pushing out the lip balm, and includes, for example, the material and operating mechanism of the plunger. For example, the plunger can have a structure combining a metal rod and a spring. The plunger pushes out the lip balm using the force of the spring. The plunger can also push out the lip balm using an electric motor. The electric motor can accurately control the plunger and smoothly push out the lip balm. Thus, by including a plunger for pushing out the lip balm, the refill unit can be smoothly refilled.

[0058] The refill unit can include a clamp for fixing the refilling container. The refill unit, for example, includes a clamp for fixing the refilling container. The clamp is a mechanism for stably fixing the refilling container, and includes, for example, the material of the clamp and the fixing method. For example, the clamp can have a structure combining a metal arm and a screw. The clamp tightens the arm by turning the screw to fix the container. The clamp can also use a spring to fix the container. The spring firmly fixes the container and improves stability during refilling. Thus, by including a clamp for fixing the refilling container, stability during refilling is improved.

[0059] The refill unit may be equipped with a safety mechanism to prevent the lip balm from spilling during refilling. The refill unit may be equipped with, for example, a safety mechanism to prevent the lip balm from spilling during refilling. The safety mechanism may include a valve, a seal, or the like to prevent the lip balm from spilling. For example, the safety mechanism may be equipped with a valve to control the flow of the lip balm. The valve controls the flow of the lip balm and prevents spilling. The safety mechanism may also be equipped with a seal to block the flow of the lip balm. The seal blocks the flow of the lip balm and prevents spilling. Thus, by providing the refill unit with a safety mechanism to prevent the lip balm from spilling during refilling, the refilling process can be performed safely.

[0060] The storage unit can estimate the user's emotions and adjust the timing of applying lip balm based on the estimated user emotions. For example, the storage unit estimates the user's emotions and adjusts the timing of applying lip balm based on the estimated user emotions. To estimate the user's emotions, the storage unit can use technologies such as facial expression recognition, voice analysis, and behavioral pattern analysis. For example, the storage unit can recognize the user's facial expressions using a camera to estimate the user's emotions. The storage unit can also use a microphone to analyze the user's voice to estimate the user's emotions. Furthermore, the storage unit can analyze the user's behavioral patterns to estimate the user's emotions. This allows the storage unit to adjust the timing of applying lip balm based on the user's emotions, thereby improving user convenience. For example, if the user is stressed, the storage unit can accelerate the timing of applying lip balm so that the user can apply it quickly. On the other hand, if the user is relaxed, the storage unit can delay the timing of applying lip balm so that the user can apply it more slowly. Furthermore, if the user is in a hurry, the storage unit can optimize the timing of applying lip balm so that the user can apply it quickly.

[0061] The storage unit can select an appropriate storage method depending on the shape and size of the lip balm when storing it. For example, the storage unit selects an appropriate storage method depending on the shape and size of the lip balm when storing it. The storage unit can be equipped with a sensor for detecting the shape and size of the lip balm. For example, the storage unit can be equipped with a sensor for measuring the diameter of the lip balm. The sensor measures the diameter of the lip balm and selects an appropriate storage method. The storage unit can also be equipped with a sensor for measuring the height of the lip balm. The sensor measures the height of the lip balm and selects an appropriate storage method. This allows the storage unit to select the optimal storage method depending on the shape and size of the lip balm, thereby improving storage stability. For example, if the diameter of the lip balm is large, the storage unit adjusts the clamp to secure it firmly. Furthermore, if the height of the lip balm is low, the storage unit raises the bottom to stabilize it. Furthermore, if the lip balm has an unusual shape, the storage unit can use a dedicated adapter to store it appropriately.

[0062] The storage unit has a function for identifying the type and brand of lip balm and can automatically select an appropriate storage method. The storage unit, for example, has a function for identifying the type and brand of lip balm and can automatically select an appropriate storage method. The storage unit can be equipped with a sensor for identifying the type and brand of lip balm. For example, the storage unit can be equipped with an image recognition sensor for identifying the brand logo of the lip balm. The image recognition sensor identifies the brand logo of the lip balm and selects an appropriate storage method. The storage unit can also be equipped with a sensor for reading ingredient information of the lip balm. The sensor reads the ingredient information of the lip balm and stores it at an appropriate temperature. Furthermore, the storage unit can record the frequency of use of the lip balm and automatically select an optimal storage location. In this way, the storage unit can automatically select an appropriate storage method by identifying the type and brand of lip balm. For example, the storage unit identifies the brand logo of the lip balm and selects a dedicated storage method. The storage unit also reads the ingredient information of the lip balm and stores it at an appropriate temperature. Furthermore, the storage unit can record the frequency of use of the lip balm and automatically select an optimal storage location.

[0063] The storage unit can estimate a user's emotions and adjust the opening / closing speed of the storage unit based on the estimated user's emotions. For example, the storage unit estimates a user's emotions and adjusts the opening / closing speed of the storage unit based on the estimated user's emotions. To estimate a user's emotions, the storage unit can use technologies such as facial expression recognition, voice analysis, and behavioral pattern analysis. For example, the storage unit can recognize a user's facial expressions using a camera to estimate the user's emotions. The storage unit can also analyze a user's voice using a microphone to estimate the user's emotions. Furthermore, the storage unit can analyze a user's behavioral patterns to estimate the user's emotions. This allows the storage unit to adjust the opening / closing speed of the storage unit according to the user's emotions, improving user convenience. For example, if the user is nervous, the storage unit slows down the opening / closing speed to allow safe operation. If the user is relaxed, the storage unit sets the opening / closing speed to normal. If the user is in a hurry, the storage unit speeds up the opening / closing speed to allow quick operation.

[0064] The storage unit may have a function for controlling the temperature and humidity of the lip balm, thereby providing an appropriate storage environment. For example, the storage unit may have a function for controlling the temperature and humidity of the lip balm, thereby providing an appropriate storage environment. The storage unit may have a cooling function for controlling the temperature of the lip balm. For example, the storage unit may use the cooling function to maintain a constant temperature within the storage unit. The storage unit may also have a humidification / dehumidification function for controlling the humidity of the lip balm. For example, the storage unit may use the humidification function to maintain a constant humidity within the storage unit. Furthermore, the storage unit may have a sensor for monitoring the storage environment of the lip balm. The sensor monitors the temperature and humidity within the storage unit in real time to maintain optimal storage conditions. In this way, the storage unit can provide an optimal storage environment by controlling the temperature and humidity of the lip balm. For example, the storage unit may use the cooling function to maintain a constant temperature within the storage unit. The storage unit may also use the humidification / dehumidification function to maintain a constant humidity within the storage unit. Furthermore, the storage unit may use a sensor to monitor the temperature and humidity within the storage unit in real time to maintain optimal storage conditions.

[0065] The storage unit has a function of recording the usage history of the lip balm and can notify the user of the appropriate timing for use. The storage unit, for example, has a function of recording the usage history of the lip balm and can notify the user of the appropriate timing for use. The storage unit can be equipped with a sensor for recording the number of times the lip balm has been used. For example, the storage unit records the number of times the lip balm has been used and notifies the user after a certain number of uses. The storage unit can also be equipped with a sensor for recording the interval between uses of the lip balm. The sensor records the interval between uses of the lip balm and notifies the user of the appropriate timing for use. Furthermore, the storage unit can be equipped with an algorithm for analyzing the usage history of the lip balm and suggesting the optimal timing for use. In this way, the storage unit can notify the user of the appropriate timing for use by recording the usage history of the lip balm. For example, the storage unit records the number of times the lip balm has been used and notifies the user after a certain number of uses. Furthermore, the storage unit records the interval between uses of the lip balm and notifies the user of the appropriate timing for use. Furthermore, the storage unit analyzes the usage history of the lip balm and suggests the optimal timing for use.

[0066] The image recognition unit can estimate the user's emotion and adjust the accuracy of image recognition based on the estimated user's emotion. For example, the image recognition unit can estimate the user's emotion and adjust the accuracy of image recognition based on the estimated user's emotion. To estimate the user's emotion, the image recognition unit can use techniques such as facial expression recognition, voice analysis, and behavioral pattern analysis. For example, the image recognition unit can recognize the user's facial expression using a camera to estimate the user's emotion. The image recognition unit can also analyze the user's voice using a microphone to estimate the user's emotion. Furthermore, the image recognition unit can analyze the user's behavioral pattern to estimate the user's emotion. This allows the image recognition unit to adjust the accuracy of image recognition according to the user's emotion, enabling more accurate confirmation of the remaining amount. For example, when the user is relaxed, the image recognition unit checks the remaining amount of lip balm with normal image recognition accuracy. When the user is in a hurry, the image recognition unit increases the accuracy of image recognition to quickly check the remaining amount. When the user is stressed, the image recognition unit optimizes the accuracy of image recognition to accurately check the remaining amount.

[0067] The image recognition unit can more accurately determine the remaining amount of lip balm by taking into account the frequency of use and usage conditions during image recognition. For example, the image recognition unit can more accurately determine the remaining amount by taking into account the frequency of use and usage conditions during image recognition. The image recognition unit can include a sensor for recording the frequency of use of the lip balm. For example, the image recognition unit records the frequency of use of the lip balm and predicts the remaining amount. The image recognition unit can also include a sensor for analyzing the usage conditions of the lip balm. The sensor analyzes the usage conditions of the lip balm and accurately determines the remaining amount. Furthermore, the image recognition unit can also include an algorithm for predicting the remaining amount by referring to the usage history of the lip balm. In this way, the image recognition unit can more accurately determine the remaining amount by taking into account the frequency of use and usage conditions of the lip balm. For example, the image recognition unit can record the frequency of use of the lip balm and predict the remaining amount. Furthermore, the image recognition unit can analyze the usage conditions of the lip balm and accurately determine the remaining amount. Furthermore, the image recognition unit can predict the remaining amount by referring to the usage history of the lip balm.

[0068] The image recognition unit has a function to detect the ingredients and quality of the lip balm and can determine whether it is usable. The image recognition unit has, for example, a function to detect the ingredients and quality of the lip balm and can determine whether it is usable. The image recognition unit can have a sensor for analyzing the ingredients of the lip balm. For example, the image recognition unit can use a chemical analysis sensor to analyze the ingredients of the lip balm and confirm its quality. The chemical analysis sensor analyzes the ingredients of the lip balm and confirms its quality. The image recognition unit can also have an optical analysis sensor for detecting the quality of the lip balm. The optical analysis sensor detects the quality of the lip balm and determines whether it is usable. Furthermore, the image recognition unit can have an algorithm for reading ingredient information of the lip balm and evaluating the quality. In this way, the image recognition unit can detect the ingredients and quality of the lip balm and determine whether it is usable. For example, the image recognition unit analyzes the ingredients of the lip balm and confirms its quality. The image recognition unit detects the quality of the lip balm and determines whether it is usable. Furthermore, the image recognition unit reads ingredient information of the lip balm and evaluates its quality.

[0069] The image recognition unit can estimate a user's emotion and adjust the display method of the image recognition results based on the estimated user's emotion. For example, the image recognition unit can estimate a user's emotion and adjust the display method of the image recognition results based on the estimated user's emotion. To estimate a user's emotion, the image recognition unit can use technologies such as facial expression recognition, voice analysis, and behavioral pattern analysis. For example, the image recognition unit can recognize a user's facial expression using a camera to estimate the user's emotion. The image recognition unit can also analyze a user's voice using a microphone to estimate the user's emotion. Furthermore, the image recognition unit can analyze a user's behavioral pattern to estimate the user's emotion. This improves user convenience by adjusting the display method of the image recognition results according to the user's emotion. For example, if the user is nervous, the image recognition unit provides a simple, highly visible display method. If the user is relaxed, the image recognition unit provides a display method including detailed information. Furthermore, if the user is in a hurry, the image recognition unit provides a display method that focuses on the main points.

[0070] The image recognition unit has a function of identifying the package design of the lip balm and can automatically classify the brand and type. The image recognition unit has a function of identifying the package design of the lip balm and can automatically classify the brand and type. The image recognition unit can have a sensor for identifying the package design of the lip balm. For example, the image recognition unit can use an image recognition sensor to identify the package design of the lip balm. The image recognition sensor identifies the package design of the lip balm and automatically classifies the brand. The image recognition unit can also have a sensor for identifying the type of lip balm. The sensor identifies the type of lip balm and performs appropriate classification. Furthermore, the image recognition unit can have an algorithm for analyzing the package design of the lip balm and automatically classifying the brand and type. In this way, the image recognition unit can automatically classify the brand and type by identifying the package design of the lip balm. For example, the image recognition unit identifies the package design of the lip balm and automatically classifies the brand. The image recognition unit also identifies the type of lip balm and performs appropriate classification. Furthermore, the image recognition unit analyzes the packaging design of lip balm and automatically classifies it by brand and type.

[0071] The image recognition unit has a function of detecting the expiration date of the lip balm and can notify the user when the expiration date is approaching. The image recognition unit, for example, has a function of detecting the expiration date of the lip balm and can notify the user when the expiration date is approaching. The image recognition unit can include a sensor for detecting the expiration date of the lip balm. For example, the image recognition unit can use a sensor that reads the printing on the package to detect the expiration date of the lip balm. The sensor reads the expiration date printed on the lip balm package and notifies the user when the expiration date is approaching. The image recognition unit can also include a sensor that references the expiration date of the lip balm from a database. The sensor references the expiration date of the lip balm from the database and notifies the user when the expiration date is approaching. Furthermore, the image recognition unit can also include an algorithm for analyzing the expiration date of the lip balm and displaying an alert when the expiration date is approaching. In this way, the image recognition unit can detect the expiration date of the lip balm and notify the user when the expiration date is approaching. For example, the image recognition unit detects the expiration date of the lip balm and notifies the user when the expiration date is approaching. The image recognition unit can also check the expiration date of the lip balm and notify the user at an appropriate time. Furthermore, the image recognition unit analyzes the expiration date of the lip balm and displays an alert if the expiration date is approaching.

[0072] The refilling unit can estimate the user's emotions and adjust the refilling speed based on the estimated user's emotions. For example, the refilling unit estimates the user's emotions and adjusts the refilling speed based on the estimated user's emotions. To estimate the user's emotions, the refilling unit can use technologies such as facial expression recognition, voice analysis, and behavioral pattern analysis. For example, the refilling unit can recognize the user's facial expressions using a camera to estimate the user's emotions. The refilling unit can also analyze the user's voice using a microphone to estimate the user's emotions. Furthermore, the refilling unit can analyze the user's behavioral patterns to estimate the user's emotions. This allows the refilling unit to adjust the refilling speed according to the user's emotions, thereby improving user convenience. For example, when the user is relaxed, the refilling unit performs refilling at a normal speed. When the user is in a hurry, the refilling unit increases the refilling speed to perform a quick refill. When the user is stressed, the refilling unit optimizes the refilling speed to perform an accurate refill.

[0073] The refilling unit can select an appropriate refilling method by taking into account the viscosity and temperature of the lip balm when refilling. For example, the refilling unit selects an appropriate refilling method by taking into account the viscosity and temperature of the lip balm when refilling. The refilling unit can include a sensor for measuring the viscosity of the lip balm. For example, the refilling unit can use a viscometer to measure the viscosity of the lip balm and adjust the refilling speed. The viscometer measures the viscosity of the lip balm and adjusts the refilling speed. The refilling unit can also include a sensor for measuring the temperature of the lip balm. The sensor measures the temperature of the lip balm and selects an appropriate refilling method. Furthermore, the refilling unit can include an algorithm for monitoring the viscosity and temperature of the lip balm in real time and selecting the optimal refilling method. This allows the refilling unit to select the optimal refilling method by taking into account the viscosity and temperature of the lip balm. For example, if the viscosity of the lip balm is high, the refilling unit slows down the refilling speed to refill accurately. Furthermore, if the temperature of the lip balm is low, the refilling unit warms it before refilling. In addition, the refilling unit monitors the viscosity and temperature of the lip balm in real time and selects the optimal refilling method.

[0074] The refill unit has a function of uniformly mixing the ingredients of the lip balm, thereby maintaining quality. The refill unit, for example, has a function of uniformly mixing the ingredients of the lip balm, thereby maintaining quality. The refill unit can have a stirring function for uniformly mixing the ingredients of the lip balm. For example, the refill unit can use a stirrer to uniformly mix the ingredients of the lip balm. The stirrer mixes the ingredients of the lip balm uniformly. The refill unit can also have a mixer for uniformly mixing the ingredients of the lip balm at the time of refilling to prevent separation. The mixer mixes the ingredients of the lip balm uniformly. The refill unit can also have a dedicated mixer for uniformly mixing the ingredients of the lip balm. In this way, the refill unit can maintain quality by uniformly mixing the ingredients of the lip balm. For example, the refill unit has a stirring function for uniformly mixing the ingredients of the lip balm. The refill unit mixes the ingredients of the lip balm uniformly at the time of refilling to prevent separation. Furthermore, the refill section uses a special mixer to mix the lip balm ingredients evenly.

[0075] The refilling unit can estimate the user's emotions and adjust the timing of refilling based on the estimated user's emotions. For example, the refilling unit estimates the user's emotions and adjusts the timing of refilling based on the estimated user's emotions. To estimate the user's emotions, the refilling unit can use technologies such as facial expression recognition, voice analysis, and behavioral pattern analysis. For example, the refilling unit can recognize the user's facial expressions using a camera to estimate the user's emotions. The refilling unit can also analyze the user's voice using a microphone to estimate the user's emotions. Furthermore, the refilling unit can analyze the user's behavioral patterns to estimate the user's emotions. This allows the refilling unit to adjust the timing of refilling according to the user's emotions, thereby improving user convenience. For example, if the user is relaxed, the refilling unit performs refilling at a normal timing. If the user is in a hurry, the refilling unit can speed up the timing of refilling to quickly perform refilling. Furthermore, if the user is feeling stressed, the refilling unit can optimize the timing of refilling to perform accurate refilling.

[0076] The refill unit has a function of displaying the remaining amount of lip balm in real time, thereby visually notifying the user. The refill unit, for example, has a function of displaying the remaining amount of lip balm in real time, thereby visually notifying the user. The refill unit can have a display for displaying the remaining amount of lip balm. For example, the refill unit can use an LCD display to display the remaining amount of lip balm in real time. The LCD display visually displays the remaining amount of lip balm. The refill unit can also have a display for displaying an alert when the remaining amount of lip balm is low. The display displays an alert when the remaining amount of lip balm is low, prompting the user to refill. The refill unit can also have a display for displaying the remaining amount of lip balm in a graph. In this way, the refill unit can visually notify the user by displaying the remaining amount of lip balm in real time. For example, the refill unit displays the remaining amount of lip balm in real time, thereby visually notifying the user. The refill unit also displays an alert when the remaining amount of lip balm is low, prompting the user to refill. Additionally, the refill unit displays a graph of the remaining amount of lip balm to provide a visual notification to the user.

[0077] The refill unit has a function for automatically cleaning a refilling container of lip balm, thereby enabling hygienic refilling. The refill unit, for example, has a function for automatically cleaning a refilling container of lip balm, thereby enabling hygienic refilling. The refill unit can have a cleaning function for cleaning the refilling container. For example, the refill unit can use a dedicated cleaning solution to automatically clean the refilling container. The cleaning solution thoroughly cleans the inside of the container, maintaining a hygienic state. The refill unit can also have a drying function for drying the refilling container after cleaning. The drying function quickly dries the inside of the container, making it reusable. Furthermore, the refill unit can have an algorithm for selecting the type of cleaning solution and the cleaning method when cleaning the refilling container. As a result, the refill unit can automatically clean the refilling container of lip balm, thereby enabling hygienic refilling. For example, the refill unit has a function for automatically cleaning the refilling container. The refill unit also has a function for drying the refilling container after cleaning. Furthermore, when cleaning the containers into which the refilling unit is to be refilled, the refilling unit thoroughly cleans them using a dedicated cleaning solution. === Hard Collateral 1-1 === Each of the multiple elements, including the storage unit, image recognition unit, and refill unit, described above, is realized, for example, by at least one of the smart device 14 and the data processing device 12. For example, the storage unit is realized by the reception device 38 of the smart device 14 and stores lip balm. The image recognition unit is realized by the camera 42 and control unit 46A of the smart device 14 and checks the remaining amount of lip balm. The refill unit is realized by the specific processing unit 290 of the data processing device 12 and automatically refills when the remaining amount is low. === Hard Collateral 1-2 === Each of the multiple elements, including the storage unit, image recognition unit, and refill unit, described above, is realized, for example, by at least one of the smart glasses 214 and the data processing device 12. For example, the storage unit is realized by the reception device 38 of the smart glasses 214 and stores lip balm. The image recognition unit is realized by the camera 42 and control unit 46A of the smart glasses 214 and checks the remaining amount of lip balm. The refill unit is realized by the specific processing unit 290 of the data processing device 12 and automatically refills when the remaining amount is low. === Hard Collateral 1-3 === Each of the multiple elements including the storage unit, image recognition unit, and refill unit described above is realized, for example, by at least one of the headset terminal 314 and the data processing device 12. For example, the storage unit is realized by the reception device 38 of the headset terminal 314 and stores lip balm. The image recognition unit is realized by the camera 42 and control unit 46A of the headset terminal 314 and checks the remaining amount of lip balm. The refill unit is realized by the specific processing unit 290 of the data processing device 12 and automatically refills when the remaining amount is low. === Hard Collateral 1-4 === Each of the multiple elements including the storage unit, image recognition unit, and refill unit described above is realized, for example, by at least one of the robot 414 and the data processing device 12. For example, the storage unit is realized by the reception device 38 of the robot 414 and stores lip balm. The image recognition unit is realized by the camera 42 and control unit 46A of the robot 414 and checks the remaining amount of lip balm. The refill unit is realized by the specific processing unit 290 of the data processing device 12 and automatically refills when the remaining amount is low.

[0078] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0079] The lip balm management system can also have the ability to learn a user's usage patterns and predict the optimal timing for refilling. For example, the system can record how often a user uses lip balm and the time of day, and based on this, predict the next time to refill. The system can also automatically refill lip balm before the remaining amount is low, depending on the user's usage pattern. Furthermore, the system can analyze the user's usage patterns and notify the user of the optimal time to refill, allowing the user to use lip balm without running out.

[0080] The lip balm management system can also have the function of acquiring information about the ingredients of lip balms and comparing it with allergy information. For example, the system can read the ingredient information of a lip balm and compare it with the allergy information registered by the user. The system can also display a warning if the product contains allergenic ingredients and urge the user to avoid using it. Furthermore, the system can help the user select a lip balm that is suitable for them based on the allergy information.

[0081] The lip balm management system can also analyze the usage history of the lip balm and adjust the optimal storage temperature. For example, the system can record the usage history of the lip balm and set the optimal storage temperature based on the frequency of use and the environment in which it is used. The system can also automatically adjust the storage temperature to maintain the quality of the lip balm. Furthermore, the system can monitor fluctuations in storage temperature in real time to maintain the optimal storage environment.

[0082] The lip balm management system can also monitor lip balm usage and automatically adjust refill amounts based on usage. For example, the system can record the amount of lip balm used and adjust refill amounts based on frequency and amount of use. The system can also analyze lip balm usage and automatically set the optimal refill amount. Furthermore, the system can monitor fluctuations in usage in real time and maintain the optimal refill amount.

[0083] The lip balm management system can also manage the expiration date of the lip balm and provide a notification when the expiration date is approaching. For example, the system can record the expiration date of the lip balm and notify the user when the expiration date is approaching. The system can also automatically discard expired lip balm. Furthermore, the system can send a notification to the user based on the expiration date, encouraging them to purchase a new lip balm.

[0084] The lip balm management system may further include a function for estimating the user's emotions and adjusting the scent of the lip balm based on the estimated emotions. For example, the system may estimate the user's emotions and provide a scent that has a relaxing effect if the user is relaxed. Alternatively, the system may provide a scent that has a stress-reducing effect if the user is stressed. Furthermore, the system may provide a scent that improves concentration if the user is in a hurry.

[0085] The lip balm management system may further include a function for estimating a user's emotions and adjusting the color of the lip balm based on the estimated emotions. For example, the system may estimate a user's emotions and provide a calming color if the user is relaxed. Alternatively, the system may provide a mood-boosting color if the user is stressed. Alternatively, the system may provide a color that helps the user focus if the user is in a hurry.

[0086] The lip balm management system may further include a function for estimating a user's emotion and adjusting the texture of the lip balm based on the estimated emotion. For example, the system may estimate a user's emotion and provide a smooth texture if the user is relaxed. Alternatively, the system may provide a texture with a refreshing effect if the user is stressed. Furthermore, the system may provide a texture that can be applied quickly if the user is in a hurry.

[0087] The lip balm management system may further include a function for estimating the user's emotions and adjusting the frequency of lip balm use based on the estimated emotions. For example, the system may estimate the user's emotions and reduce the frequency of use if the user is relaxed. Alternatively, the system may increase the frequency of use if the user is stressed. Furthermore, the system may optimize the frequency of use if the user is in a hurry.

[0088] The lip balm management system can further include a function for estimating the user's emotions and adjusting the storage environment of the lip balm based on the estimated emotions. For example, the system can estimate the user's emotions and set the storage temperature lower if the user is relaxed. Alternatively, the system can set the storage temperature higher if the user is stressed. Furthermore, the system can optimize the storage environment if the user is in a hurry.

[0089] The processing flow of the second embodiment will be briefly explained below.

[0090] Step 1: The storage section stores lip balm. Lip balm may be in a stick type or a tube type, but is not limited to these examples. Step 2: The image recognition unit checks the remaining amount of lip balm stored in the storage unit. The image recognition unit is equipped with a sensor that detects changes in the height and color of the lip balm, for example. It measures the height of the lip balm in millimeters and determines the remaining amount. It can also analyze changes in hue, saturation, and brightness to detect changes in the color of the lip balm. Step 3: The refill unit automatically refills when the image recognition unit determines that the remaining amount is below a certain standard. The refill unit includes, for example, a plunger for pushing out the lip balm. The plunger is a mechanism for pushing out the lip balm, and includes, for example, the material of the plunger and its operating mechanism. The refill unit also includes a clamp for fixing the refilled container. The clamp is a mechanism for stably fixing the refilled container, and includes, for example, the material of the clamp and the fixing method. The refill unit also includes a safety mechanism for preventing the lip balm from spilling during refilling. The safety mechanism includes, for example, a valve or seal for preventing the lip balm from spilling.

[0091] 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.

[0092] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> Examples of the generative AI include a neural network (NN) and a neural network (NN). The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image (e.g., still image data or video data). 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 one or more data formats of voice data, text data, image data, etc. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and may perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-mentioned parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. The processing performed by an AI including the generative AI may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI including the generative AI.

[0093] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0094] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0095] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0096] 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.

[0097] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0098] 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.

[0099] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0100] 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 user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0101] 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.

[0102] 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.

[0103] 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.

[0104] 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. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0105] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0106] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0107] 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.

[0108] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). 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 one or more data formats, such as audio data, text data, and image data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0109] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0110] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0111] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0112] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0113] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0114] 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.

[0115] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0116] 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 user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0117] 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.

[0118] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset 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.

[0119] 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.

[0120] 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. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0121] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the identification processing unit 290 using these models.

[0122] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0123] 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.

[0124] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). 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 one or more data formats, such as audio data, text data, and image data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0125] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0126] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0127] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0128] 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.

[0129] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0130] 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.

[0131] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0132] 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 image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0133] 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.

[0134] The control object 443 includes a display device, LEDs in the eyes, and motors that drive 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.

[0135] 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.

[0136] 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.

[0137] 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. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0138] In the robot 414, the processor 46 performs the identification process. The storage 50 stores the identification program 60. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as the control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 also has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform the same process as the identification processing unit 290 using these models.

[0139] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0140] 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.

[0141] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). 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 one or more data formats, such as audio data, text data, and image data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0142] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0143] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0144] 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.

[0145] FIG. 9 illustrates 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 behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions 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.

[0146] 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.

[0147] 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).

[0148] 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 expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, 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 expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0149] 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."

[0150] 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.

[0151] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, 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. A processor also includes 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.

[0156] The hardware resource that executes the specific process 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 process may be a single processor.

[0157] 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.

[0158] 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.

[0159] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0160] 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.

[0161] 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.

[0162] [Explanation of symbols]

[0163] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. A storage section for storing lip balm, an image recognition unit that checks the remaining amount of lip balm stored in the storage unit; a refill unit that automatically refills when the image recognition unit determines that the remaining amount is below a certain standard; Equipped with A system characterized by:

2. The image recognition unit Equipped with a sensor that detects changes in lip balm height or color 2. The system of claim 1.

3. The refill unit is Equipped with a plunger to push out the lip balm 2. The system of claim 1.

4. The refill unit is Equipped with a clamp to secure the refill container 2. The system of claim 1.

5. The refill unit is It has a specific safety mechanism to prevent the lip balm from spilling when refilling.

2. The system of claim 1.

6. The storage section is The system estimates the user's emotions and adjusts the timing of storing the lip balm based on the estimated user emotions.

2. The system of claim 1.

7. The storage section is When storing, choose the appropriate storage method depending on the shape and size of the lip balm.

2. The system of claim 1.

8. The storage section is Equipped with a function to identify the type and brand of lip balm, it automatically selects the appropriate storage method.

2. The system of claim 1.

9. The storage section is The user's emotion is estimated, and the speed at which the storage compartment is opened and closed is adjusted based on the estimated user's emotion.

2. The system of claim 1.

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