Food residue monitoring system, method, equipment and medium

Abstract

The invention relates to the technical field of food residue AI management, in particular to a food residue monitoring system, method and device and a medium. The invention provides a canteen food residue monitoring system, which comprises an entrance recognition module and a face recognition device, wherein the identity of an employee is automatically recognized by the face recognition device; the weighing module is used for weighing the dinner plate of the employee, calculating the weight of the food residue after peeling and uploading the data to the server in real time; the reminding module is used for comparing the weight of the weighed food residue with a preset threshold value and reminding the staff exceeding the weight of the food residue; and the data collection module is used for carrying out statistical analysis on the collected food residue data, and knowing the overall condition of food residue waste of the canteen and the food residue distribution rule information of the employees. The invention aims to solve the technical problem in the prior art that a great amount of waste can not be found in time when employees eat meals in canteens.

Description

Technical Field

[0001] The present invention relates to the technical field of AI management of leftover meals, and particularly to a leftover meal monitoring system, method, device and medium. Background Art

[0002] Currently, everyone has different appetites when eating in the cafeteria. Some people always leave too much food and pour it out, causing a great deal of food waste.

[0003] The Chinese utility model patent with the publication number CN203324802U disclosed a restaurant kitchen waste supervision system on December 4, 2013, including: a classified metering collection box, a control unit and a remote server. An electronic scale is provided at the bottom inside the classified metering collection box, and a side door equipped with an electric control lock is provided on the side wall of the metering collection box; the control unit includes an industrial computer, a card reading device and a first communication device; the remote server includes a controller, a memory and a second communication device; the electronic scale is connected to the industrial computer by wire or wirelessly, and the industrial computer establishes communication with the second communication device of the remote server through the first communication device. It can be used in conjunction with an integral reward system, a community service station, and an e-commerce mall. This patent can supervise the waste in each restaurant, but it does not supervise how to reduce waste.

[0004] Therefore, it is necessary to propose a system for supervising the leftover meals of employees when eating in the cafeteria, so as to reduce waste. Summary of the Invention

[0005] The purpose of the present invention is to overcome the above-mentioned deficiencies of the prior art, and provide a leftover meal monitoring system, method, device and medium, which aims to solve the technical problem that it is impossible to detect in time that employees waste a lot of food when eating in the cafeteria in the prior art.

[0006] To achieve the above purpose, the present invention proposes a cafeteria leftover meal monitoring system, which includes: An entrance recognition module, where a face recognition device automatically recognizes the identity of employees; A weighing module, which is used to weigh the plates of employees, calculate the weight of the leftovers after peeling, and upload the data to the server in real time; A reminder module, which is used to compare the weight of the leftovers weighed with a preset threshold and remind the employees who exceed the threshold; A data collection module, which statistically analyzes the collected leftover meal data to understand the overall situation of cafeteria leftover meal waste and the information on the distribution law of employees' leftovers.

[0007] Preferably, the reminder module includes a display module and a voice broadcast module; The display module will automatically push the face recognition result and the meal residue weight information to the display screen when the meal residue of an employee exceeds the preset standard; The voice broadcast module will remind the employee of the personnel and meal residue information in the display module through voice broadcast.

[0008] Preferably, it includes a DingTalk integration module, through which the meal dumping records can be directly queried and managed.

[0009] On the other hand, the present invention proposes a method for monitoring the meal residue in the cafeteria, including the following steps, S1: When an employee enters the meal residue recycling area, the employee's identity is automatically recognized by face recognition and uploaded to the server; S2: Weigh the employee's plate, calculate the weight of the meal residue after peeling, and upload the data to the server in real time; S3: Compare the weight of the meal residue weighed in S2 with the preset threshold; S4: When the meal residue of an employee exceeds the preset standard, the face recognition result and the meal residue weight information will be automatically pushed to the display screen; or / and the personnel and meal residue information in the display module will be reminded to the employee through voice broadcast; S5: Statistically analyze the collected meal residue data to understand the overall situation of meal residue waste in the cafeteria and the information on the distribution law of employees' meal residues.

[0010] Preferably, employees can directly query and manage the meal dumping records through the application in DingTalk.

[0011] On the other hand, the present invention proposes a storage medium, which includes a stored program. When the program runs, it controls the device where the storage medium is located to execute the above-mentioned method for monitoring the meal residue in the cafeteria.

[0012] On the other hand, the present invention proposes a processor, which is used to run a program. When the program runs, it executes the above-mentioned method for monitoring the meal residue in the cafeteria.

[0013] Compared with the prior art, the beneficial effects of a meal residue monitoring system, method, device and medium provided by the present invention are as follows: 1. Reduce food waste: By real-time monitoring the meal residue of employees and timely reminding employees with excessive meal residues, it effectively urges employees to pick up meals reasonably, reduces food waste, improves the utilization efficiency of cafeteria resources, and reduces operating costs.

[0014] 2. Improve management level: Provide accurate and real-time meal residue data for cafeteria management personnel, facilitating them to timely understand the operating conditions of the cafeteria, formulate reasonable procurement plans, dish collocation plans and employee diet suggestions, and improve the management level and service quality of the cafeteria.

[0015] 3. Enhance employees' awareness of saving: Employees can check their meal records at any time through DingTalk, understand their eating habits, and consciously reduce food waste, which enhances employees' awareness of saving and environmental protection and creates a good corporate culture atmosphere.

[0016] 4. Optimize operational processes: The implementation of the project has simplified the canteen's meal waste management process, reduced the workload of manual statistics and management, and improved operational efficiency. It has also avoided the problems of inaccurate data and inadequate management caused by human factors, and realized the intelligent, automated and refined management of the canteen.

[0017] 5. Data-driven decision-making: The large amount of accumulated leftover data provides strong support for the canteen's long-term planning and decision-making. Managers can use data analysis to understand employees' dietary preferences, waste patterns and other information, provide data basis for food innovation, service optimization, cost control and other aspects, and promote the sustainable development of the canteen.

[0018] The features and advantages of the present invention will be described in detail through embodiments in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flow chart of a method for monitoring leftover food in a cafeteria according to an embodiment of the present invention.

[0020] Figure 2 It is a flowchart of the canteen meal leftover monitoring system according to an embodiment of the present invention.

[0021] Figure 3 It is a system framework diagram of an embodiment of the present invention.

[0022] Figure 4 It is a data flow diagram of an embodiment of the present invention.

[0023] Figure 5 It is a product schematic diagram of the actual application of the present invention.

[0024] Figure 6 It is a screen display diagram of the violator of the present invention.

[0025] in: DETAILED DESCRIPTION

[0026] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below through the accompanying drawings and embodiments. However, it should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the scope of the present invention. In addition, in the following description, the description of known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0027] See also Figure 1, A method for monitoring cafeteria food leftovers, including the following steps, S1: When an employee enters the food leftovers recycling area, face recognition is used to automatically identify the employee's identity and upload it to the server; Face recognition technology: Deploy face recognition devices at the cafeteria entrance and the food leftovers recycling area. Adopt advanced face recognition algorithms to automatically identify the employee's identity and accurately record the behavior of each employee pouring food. The system associates the employee's identity information with the food leftovers weight data to ensure the accuracy of the food leftovers data, facilitating subsequent statistical analysis and personalized management. When entering the cafeteria entrance, the corresponding employee is first recognized, and then recognized again in the food leftovers recycling area to prevent errors in single recognition. After the personnel recognized twice match, the corresponding data is uploaded to the server.

[0028] S2: Weigh the employee's plate, calculate the weight of the food leftovers after peeling, and upload the data to the server in real time; Electronic scale weighing: Install high-precision electronic scales in the cafeteria food leftovers recycling area. Automatically calculate the weight of the food leftovers poured by each employee through the electronic scale and upload the data to the server for monitoring and analysis in real time. The electronic scale has the characteristics of high precision and fast response, can accurately measure the weight of the food leftovers, and provides a reliable basis for subsequent data analysis and management. Generally, the same plates are used for eating in the cafeteria, and the weight of the plates is the same. When weighing, the weight of the plate needs to be removed to obtain the weight of the food leftovers.

[0029] S3: Compare the weight of the food leftovers weighed in S2 with a preset threshold; Configure the food leftovers over-standard standard in the background: Set the food leftovers over-standard standard in the background system. According to the cafeteria operation data and employees' eating habits, reasonably determine the threshold of the amount of food leftovers. When an employee's amount of food leftovers exceeds the preset standard, the system will automatically push the face recognition result and the food leftovers weight information to the display screen and remind the employee through voice broadcast, achieving the purpose of urging food conservation. At the same time, the management personnel can flexibly adjust the food leftovers over-standard standard according to the actual situation to meet different operation requirements.

[0030] S4: When an employee's amount of food leftovers exceeds the preset standard, the face recognition result and the food leftovers weight information will be automatically pushed to the display screen; or / and remind the employee of the personnel and food leftovers information in the display module through voice broadcast; Through various methods such as pushing through the display screen and voice broadcast, employees are timely reminded of the behavior of exceeding the food leftovers standard, enhancing employees' awareness of conservation. At the same time, it also provides real-time feedback information for the management personnel, facilitating timely intervention measures.

[0031] S5: Statistically analyze the collected food leftovers data to understand the overall situation of cafeteria food leftovers waste and the information on the distribution law of employees' food leftovers.

[0032] Furthermore, employees can directly query and manage the leftovers records through the applications in DingTalk. The deep integration with DingTalk provides employees with convenient access and management channels, improves employee participation and system utilization rate, and also reduces the system's promotion and operation costs. DingTalk Integration: Deeply integrate the AI cafeteria leftovers monitoring system with DingTalk. Users can directly access the application in DingTalk to query and manage the leftovers records. This integration method avoids the need for employees to remember multiple login credentials, provides a more convenient and efficient user experience, and improves the usability of the platform. Employees can view their leftovers records at any time through DingTalk, understand their eating habits, and thus consciously reduce food waste.

[0033] See Figure 3 , after an employee enters the cafeteria, they are recognized by the face recognition device. After finishing eating, they enter the cafeteria recycling area for employee identity confirmation to prevent misrecognition, such as the situation where an employee who has not entered the cafeteria is recognized as having leftovers. The employee weighs the dinner plate on the electronic scale to measure the weight of the leftovers, and this weight is uploaded to the server. The system judges this data based on the preset values in the background. If it exceeds the standard, a reminder will be shown on the display screen, displaying information such as the employee's picture and time as Figure 6 , and at the same time, a voice broadcast reminder will be given. To facilitate employees to view the leftovers records, they can also log in to the system through DingTalk to view the corresponding records. Employees can view their leftovers records at any time through DingTalk, understand their eating habits, and thus consciously reduce food waste, enhancing employees' awareness of thrift and environmental protection and creating a good corporate culture atmosphere.

[0034] Furthermore, as an implementation of the above Figure 1 and Figure 3 method embodiments shown, the embodiments of the present application provide a cafeteria leftovers monitoring system. See Figure 2 , the system includes: An entrance recognition module, where the face recognition device automatically recognizes the employee's identity; A weighing module, used to weigh the employee's dinner plate, calculate the weight of the leftovers after peeling, and upload the data to the server in real time; A reminder module, used to compare the weighed weight of the leftovers with the preset threshold and remind the employees who exceed the limit; A data collection module, which statistically analyzes the collected leftovers data to understand the overall situation of cafeteria leftovers waste and the information on the distribution law of employees' leftovers.

[0035] Furthermore, the reminder module includes a display module and a voice broadcast module; A display module that automatically pushes the face recognition result and the meal residue weight information to the display screen when the meal residue of an employee exceeds the preset standard; The voice broadcast module uses voice broadcasts to remind employees of the personnel and meal residue information in the display module.

[0036] Furthermore, it includes a DingTalk integration module through which the reverse meal records can be directly queried and managed.

[0037] In actual practical applications, the AI canteen meal residue monitoring system is applied in actual canteens. The system uses an electronic scale weighing module to collect and upload the meal residue weight. The face recognition module identifies the identities of employees and records any violations at the meal residue collection area. The background configuration module pre-sets the meal residue standards and provides reminders and feedback for any violations. For ease of use, a DingTalk integration module is also set up to facilitate employees' normal access. At the same time, the employees' login information is the same as the face collection information, which is convenient for data collection.

[0038] The large amount of accumulated meal residue data provides strong support for the long-term planning and decision-making of the canteen. Managers can understand employees' dietary preferences, waste patterns, etc. through data analysis, providing a data basis for aspects such as dish innovation, service optimization, and cost control, and promoting the sustainable development of the canteen. If there is a lot of waste on a certain dish generally, it is necessary to determine whether the taste of the dish does not meet the employees' expectations or the dish itself is not liked, so that the canteen can replace the dish, thereby reducing waste at the source.

[0039] The embodiment of the present application also provides a storage medium for storing a computer program such as Figure 5 , wherein when the computer program runs, it controls the device where the storage medium is located to execute the above-mentioned Figure 1 canteen meal residue monitoring method.

[0040] Furthermore, the embodiment of the present application also provides a processor for running a program, wherein when the program runs, it executes the canteen meal residue monitoring method described above in Figure 1 .

[0041] In the above embodiments, the descriptions of each embodiment have their own focuses. For parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0042] It can be understood that the relevant features in the above methods and systems can be referred to each other. In addition, the "first", "second", etc. in the above embodiments are used to distinguish each embodiment, and do not represent the advantages and disadvantages of each embodiment.

[0043] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0044] The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings provided herein. The structure required to construct such systems will be apparent from the above description. In addition, the present application is not directed to any particular programming language. It should be understood that the content of the present application described herein can be implemented using various programming languages, and the description of a particular language above is to disclose the best mode of the present application.

[0045] In addition, the memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM), and / or non-volatile memory such as read-only memory (ROM) or flash RAM, and the memory includes at least one storage chip.

[0046] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, system, or computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0047] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to generate a machine, such that the instructions executed by the processors of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one or more of the flows or multiple flows and / or blocks Figure 1 one or more of the blocks or multiple blocks.

[0048] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one or more of the flows or multiple flows and / or blocksFigure 1 the functions specified in one or more boxes

[0049] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one Figure 1 one process or more processes and / or boxes Figure 1 or more boxes.

[0050] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0051] The memory may include non-permanent memory in the computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.

[0052] Computer-readable media includes permanent and non-permanent, removable and non-removable media and can store information by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory media, such as modulated data signals and carrier waves.

[0053] It should also be noted that the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, commodity or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, commodity or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, commodity or device comprising the element.

[0054] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0055] The above are only the embodiments of the present application and are not intended to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A canteen meal leftover monitoring system, characterized in that: The system comprises: Entrance recognition module, face recognition equipment automatically identifies employees; The weighing module is used to weigh the employees' plates, calculate the weight of the leftovers after peeling, and upload the data to the server in real time; The reminder module is used to compare the weight of the food leftovers with the pre-set threshold and remind employees who exceed the threshold; The data collection module conducts statistical analysis on the collected leftover food data to understand the overall situation of canteen leftover food waste and the distribution patterns of employees’ leftover food.

2. A canteen meal leftover monitoring system as claimed in claim 1, characterized in that: The reminder module includes a display module and a voice broadcast module; Display module: When the employee's meal leftovers exceed the preset standard, the facial recognition results and meal leftover weight information will be automatically pushed to the display screen; The voice broadcast module will display the personnel and meal leftover information in the module and remind employees through voice broadcast.

3. A canteen meal leftover monitoring system as claimed in claim 1, characterized in that: It includes a DingTalk integration module, through which you can directly query and manage meal records.

4. A method for monitoring leftover food in a canteen, characterized in that: The following steps are included: S1: When an employee enters the food waste recycling area, facial recognition is used to automatically identify the employee and upload the identity to the server; S2: Used to weigh employees' plates, calculate the weight of leftovers after peeling, and upload the data to the server in real time; S3: used to compare the weight of the meal leftovers weighed in S2 with a threshold value set in advance; S4: When the employee's meal leftovers exceed the preset standard, the face recognition results and meal leftover weight information will be automatically pushed to the display screen; or / and the personnel and meal leftover information in the display module will be announced through voice broadcast to remind the employee; S5: Conduct statistical analysis on the collected food waste data to understand the overall situation of food waste in the cafeteria and the food waste distribution patterns of employees.

5. A dining hall meal leftover monitoring method as claimed in claim 4, characterized in that: Employees can query and manage meal replacement records directly through the DingTalk application.

6. A storage medium, characterized in that: The storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the canteen food leftover monitoring method as described in any one of claims 4 to 5.

7. A processor, characterized in that: The processor is used to run a program, wherein the program, when running, executes the canteen meal leftover monitoring method as described in any one of claims 4 to 5.

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