A food safety management and control system with order traceability and double-main-body insurance for catering

Abstract

The application discloses a kind of intelligent visual traceability and double main body insurance linkage's catering food safety chain cooperative management and control system, belong to food safety digitization field.The application integrates partition vision acquisition, order video intelligent interception encryption, double main body food safety insurance, food material whole chain traceability, take-out evaluation ecology and government regulation docking six big core capabilities.Formal monitoring of present open kitchen bright stove, take-out has no exclusive traceability, insurance mode is single, and the pain points such as high supervision cost, order and cooking video one-to-one binding, business and consumer double main body dynamic insurance linkage mechanism are created.The system can be landed relying on general hardware and software, simple deployment, scalable replication, can assist government to improve supervision efficiency, rectify industry chaos, provide compliance incentives and risk bottom for business, provide visual traceability and food safety claim protection for consumers, with novelty, creativity and practical value.

Description

Technical Field

[0001] This invention relates to the fields of digital management and control of food safety in the catering industry, cross-platform service collaboration, and the integration of risk protection business models. Specifically, it relates to an integrated food safety management system that integrates intelligent visual monitoring, full-process traceability, dual-entity food safety insurance, customized takeout services, and multi-party regulatory linkage. This system is applicable to the comprehensive management of both offline dine-in and online takeout catering. The core innovation of this invention lies in its unique one-to-one encrypted transmission mechanism linking takeout orders with dedicated food preparation videos, and a dual-entity food safety insurance system linking merchants and consumers. This represents a cross-application solution combining mature information technology innovation with a scenario-based business model, filling a current industry gap. Background Technology

[0002] The current catering industry, especially the online food delivery sector, suffers from serious shortcomings in food safety governance: 2.1. The transparent kitchen and simplified AI-powered kitchen inspections promoted by mainstream food delivery platforms and local regulators are all single, isolated functions. They generally only install a single high-altitude wide-angle camera, resulting in blurry images, limited shooting range, and extensive exposure of ineffective areas such as washing areas. They fail to cover core and critical areas such as food storage, preparation, and hot food preparation, serving only as a formality without substantive regulatory effect. 2.2. Existing AI-powered kitchen recognition technology is only used for capturing violations, resulting in closed and isolated data that cannot be linked with order processing, traceability, insurance, food delivery platforms, or government regulatory systems. Functions are fragmented and lack a closed loop. 2.3. All food safety insurance policies on the market are only available to merchants, with no option for consumers to independently enroll. Furthermore, there is no linkage model that dynamically links premiums to compliant data, binds insurance benefits to traceability services, or incentivizes platform traffic allocation. The business models are highly homogenized. 2.4. Consumers ordering takeout cannot access personalized video recordings of their individual orders; they can only view generalized public surveillance footage. This prevents them from verifying the preparation process of their meals, resulting in persistent core pain points such as "invisibility, lack of reassurance, and difficulty in protecting their rights." Current traceability systems rely solely on written records, lacking visual video evidence, and a paid value-added service system is missing. 2.5. Takeout platform review systems are fragmented, with only individual store reviews, lacking a comprehensive food safety supervision ecosystem, making it difficult to establish long-term industry-wide rectification and constraints. Government food safety supervision relies on manual inspections, which are costly, have weak coverage, and are difficult to implement in a closed-loop system for addressing potential hazards. In summary, existing technologies cannot simultaneously solve the following industry pain points: formalized kitchen monitoring, lack of personalized video traceability for takeout meals, a single insurance model, data incompatibility among multiple parties, and a lack of consumer oversight. Currently, there are no existing technologies or publicly available solutions that can achieve an integrated closed-loop system combining precise, zoned visual data collection, intelligent extraction and encrypted push of order-specific videos, dynamic insurance linkage between two entities, a comprehensive takeout evaluation ecosystem, and data integration with government supervision. Summary of the Invention

[0003] 3.1 Purpose of the Invention: The purpose of this invention is to overcome the deficiencies of existing technologies and provide a collaborative management system for the entire food safety chain in the catering industry that integrates intelligent visual supervision. This invention does not involve underlying chips, hardware modifications, or the underlying development of AI algorithms; it only integrates and restructures mature general-purpose hardware, general-purpose visual recognition technology, cloud storage, encrypted transmission, and interface docking in a scenario-based manner. Core Solutions: 3.1.1. Replacing the traditional formalized open kitchen, achieving precise and comprehensive supervision of the core areas of the kitchen; 3.1.2. Pioneering the binding of exclusive food preparation videos to takeout orders, with targeted encrypted push notifications, solving the trust pain point of takeout consumers; 3.1.3. Pioneering a dual-subject insurance system for merchants and consumers, dynamically adjusting premiums and rights based on compliance data to form positive constraints; 3.1.4. Building a dedicated section for takeout platforms and a comprehensive food safety comment ecosystem, forcing industry standardization; 3.1.5. Lightweight integration with government food safety regulatory departments, reducing regulatory pressure and assisting in the normalized rectification of the takeout industry. 3.1.6. Construct a commercial closed loop that is feasible, profitable, and scalable. 3.2 Technical Solution: A collaborative management system for the entire food safety chain in the catering industry, integrating intelligent visual supervision, comprising: a front-end interaction layer, a core business integration layer, a data platform support layer, and a third-party collaboration interface layer; the four-layer architecture operates independently and links data in real time. 3.2.1 Front-end Interaction Layer: Includes five independent ports for main users: (1) Government Regulatory Portal: Lightweight data viewing, hidden danger supervision, compliance statistics, and risk warning viewing, realizing remote digital supervision; (2) Food Delivery Platform Portal: Sets up a dedicated independent section for order video reception, full-domain review rating, insurance purchase, and food safety service entry; (3) Catering Merchant Portal: Equipment management, violation warning reception, hidden danger rectification, insurance rights management, and traffic support viewing; (4) Consumer Portal: Differentiates between dine-in and takeout scenarios, allows consumers to independently purchase traceability services and food safety insurance, and unlock exclusive video permissions; (5) Insurance Institution Portal: Connects to compliance data, risk rating, policy management, and online intelligent claims review. 3.2.2 Core Business Integration Layer: (1) Zoning Precision Intelligent Visual Supervision Unit: Unlike traditional single-camera wide-angle invalid shooting, 3-5 general high-definition acquisition devices are deployed in the back kitchen, which are fixedly aimed at the five core areas of food storage area, cold storage and freezing area, food cutting and preparation area, hot food preparation area and packaging area, and do not shoot invalid areas; integrate general back kitchen behavior recognition capabilities, automatically identify violations such as non-standard work clothes, mixed raw and cooked food, exposed food, and dirty environment, and issue graded warnings and time-limited rectification; the warning data is synchronized to merchants, takeaway platforms and government supervision terminals to form a closed loop of "warning - rectification - review - archiving"; all compliant data are synchronized as the core basis for insurance rating and premium adjustment.(2) Order-Specific Image Capture and Encrypted Transmission Unit (Core Originality) Differentiates between dine-in and takeout scenarios to achieve one-to-one exclusive traceability: Dine-in: One table, one code, dynamic authorization, unlocking the core kitchen footage and ingredient ledger for the corresponding time period; Takeout core process: When placing a takeout order, users can voluntarily purchase the peace of mind traceability service + food safety insurance. The system synchronizes the order number, order time, food preparation station, and user identifier in real time via API. It uses a timestamp-based precise matching algorithm to bind the corresponding preparation time and monitoring equipment for the order. The system intelligently and automatically captures 120-180 seconds of exclusive high-definition video clips, fully covering the entire process of ingredient placement and inspection, ingredient cutting and preparation, cooking, and packaging. The video is encrypted and pushed to the exclusive section of the takeout platform through an encrypted channel. Only the user who placed the order can view it. It has a built-in dynamic watermark to prevent theft and can be retrieved at any time for rights protection during the after-sales period. The video is also bound to the ingredient traceability text ledger, achieving dual protection of "video visualization + data traceability". (3) Dual-Entity Food Safety Insurance Linkage Unit (Core Originality): Merchant Enrollment: Insured merchants receive three major benefits: official food safety certification mark, preferential traffic from food delivery platforms, and regulatory compliance bonus; they also enjoy risk protection for food safety accidents, customer complaints, and food ingredient issues; the merchant's monthly compliance score is directly linked to the insurance premium rate, with higher compliance resulting in lower premiums and more traffic; long-term violations lead to increased premiums, revocation of rights, and restrictions on enrollment. Consumer Enrollment: Consumers can purchase food safety insurance independently at a low price, with insurance benefits directly linked to traceability services; insured users unlock exclusive order-specific meal preparation videos for free, and can quickly claim compensation online in the event of food safety damage; the system establishes a risk score based on user claim records to prevent malicious insurance fraud and false complaints. Intelligent Claims Linkage: The entire claims application process is online, and the system automatically retrieves: exclusive order videos, kitchen inspection records, and food ingredient traceability data to assist insurance institutions in quickly determining liability and significantly shortening the claims cycle. (4) Full-chain food traceability unit: integrates QR code traceability, environmental sensing, and digital ledger storage; leaves a trace of the entire process of food procurement, storage, processing, and packaging; monitors storage temperature and humidity in real time and provides early warning of abnormalities; traceability data is tamper-proof and can be queried by regulatory authorities and consumers. (5) Food delivery industry rectification and comprehensive evaluation unit: relying on the exclusive section of the food delivery platform, it breaks the isolated reviews of single stores; it builds a cross-store comprehensive food safety evaluation system, and users can give unified ratings and reviews on the production environment, video traceability experience, and food hygiene; the evaluation data has a reverse impact on merchant traffic, compliance rating, and insurance access, forming a consumer supervision-driven mechanism to effectively rectify the chaos in the food delivery industry. (6) Policy compliance assistance unit: connects with the national Internet + transparent kitchen and food safety social co-governance policies, automatically summarizes compliance reports, assists merchants in upgrading compliance, and provides data support for government supervision.3.2.3 Data Platform Support Layer: Employs distributed storage, encrypted transmission, data anonymization, and hierarchical access control; enables encrypted video storage, off-site data backup, and real-time linkage of multi-source data; generates compliance reports, risk reports, and regulatory reports to ensure data security and privacy compliance. 3.2.4 Third-Party Collaboration Layer: Connects with local market supervision systems, mainstream food delivery platforms, compliant insurance institutions, and food supplier systems through standardized and universal APIs; achieves secure cross-industry data interoperability and business collaboration. 3.3 Beneficial Effects: 3.3.1 Regulatory Value: Provides government food safety departments with a lightweight, routine, and digital regulatory tool, eliminating the inefficiency of manual inspections, enabling early detection and rectification of potential hazards, and improving regional food safety governance capabilities; 3.3.2 Industry Value: Completely solves the formalistic drawbacks of traditional open kitchens on food delivery platforms, accurately regulating core kitchen processes, and systematically rectifying the chaos in the food delivery industry through video traceability, user supervision, and insurance constraints; 3.3.3 Model Innovation: The dual-entity insurance + order-specific video binding transmission model is a completely new and original approach, with no similar competitors, highly innovative, and possessing high patent barriers; 3.3.4 Merchant Value: Compliance bonuses, traffic support, and risk mitigation, reducing operational compliance pressure and losses from food safety disputes; 3.3.5 Consumer Value: Consumers can pay to view the complete production video of their orders, ensuring peace of mind, providing evidence for rights protection, and facilitating claims; 3.3.6 Commercial Value: Diversified profit models enable sustainable operation and can be quickly replicated and implemented in the national catering and food delivery industries. Attached Figure Description

[0004] Figure 1 Overall architecture diagram of the Xin'an Food Safety Traceability System;

[0005] Figure 2 Order binding with dedicated video traceability flowchart;

[0006] Figure 3 Diagram illustrating the deployment and data acquisition of multiple cameras in the kitchen;

[0007] Figure 4 Video encryption and access control process diagram;

[0008] Figure 5 Diagram of a dual-entity food safety insurance linkage mechanism;

[0009] Figure 6 Diagram illustrating the merchant compliance scoring and reward / penalty mechanism;

[0010] Figure 7 Prototype diagram of the user-side traceability service interface. Detailed Implementation

[0011] The cameras, sensors, cloud services, recognition software, and transmission protocols used in this system are all mature and commercially available products, requiring no custom development or underlying modifications. Merchants install dedicated acquisition devices in five core areas according to their kitchen layout; the system backend centrally manages the screen, intelligently captures order videos, and links insurance data; the food delivery platform opens a dedicated function page to enable video push, comment interaction, and insurance purchase; regulatory authorities grant data viewing permissions as needed for remote supervision; the system is stable, easy to deploy, and adaptable to restaurants of all sizes. Based on the system architecture shown in Figure 1, taking a chain restaurant as an example, the complete implementation process of this system is as follows: 4.1 Kitchen Deployment (corresponding to Figure 3): Merchants deploy four high-definition cameras in the food processing area, cooking area, cleaning and disinfection area, and food packaging area according to their kitchen layout. These cameras are connected to the cloud server through an edge gateway to achieve comprehensive monitoring of the core areas. 4.2 Order and Video Binding (corresponding to Figure 2, ... Figure 4 4.2 After a user places an order, the system synchronizes the order number and timestamp, triggering continuous recording by the kitchen camera. After the order is completed, the system automatically extracts a 120-180 second video clip of the food preparation process, encrypts it with AES, and stores it along with the order. 4.3 User Traceability and Insurance Linkage (corresponding to Figures 5 and 7): After purchasing traceability services, users can view their exclusive video using their order number in the APP / mini-program. In the event of a food safety issue, users can directly apply for compensation based on the traceability record, and the compensation data is synchronized to the insurance institution's system. 4.4 Platform and Regulatory Collaboration: The food delivery platform opens a dedicated function page to enable video push, comment interaction, and insurance purchase; regulatory departments can grant data viewing permissions as needed to achieve remote supervision. This system is generally stable, easy to deploy, and adaptable to restaurants of different sizes.

Claims

1. A collaborative management system for the entire food safety chain in the catering industry that integrates intelligent visual monitoring, characterized in that: include: The system comprises a front-end interaction layer, a core business integration layer, a data platform support layer, and a third-party collaboration layer. The core business integration layer includes: a zoned intelligent visual integrated supervision unit, an order-customized image capture and traceability unit, a dual-entity food safety insurance linkage unit, a full-chain ingredient traceability integration unit, a takeaway ecosystem rectification and comprehensive evaluation unit, and a policy adaptation and compliance assistance unit. The zoned intelligent visual integrated supervision unit deploys acquisition devices at fixed points in multiple areas of the kitchen to collect images of key areas such as ingredient storage, cutting, food preparation, and packaging. Combined with general visual recognition technology, it enables tiered early warning and closed-loop rectification of kitchen violations. The order-customized image capture and traceability unit establishes a unique binding relationship between orders and kitchen videos for takeaway scenarios. Based on the order time and preparation station, it automatically captures a 120-180 second exclusive food preparation video clip, encrypts it, and pushes it to the ordering consumer's account, accessible only to the designated user. For dine-in scenarios, dynamic authorization codes are used to achieve time-segmented and table-segmented traceability viewing. The dual-entity food safety insurance linkage unit simultaneously establishes a merchant insurance system and a consumer insurance system; merchant compliance data is dynamically linked to insurance premium pricing, platform traffic benefits, and official certification marks; consumer insurance is bound to food safety claims rights and exclusive video traceability viewing permissions; the third-party collaboration interface layer connects to food delivery platforms, government regulatory systems, and insurance institutions through standardized interfaces to achieve data interoperability and business collaboration; this system adopts existing mature hardware and general software integration applications, without involving underlying algorithm development or hardware structure modification.

2. The system according to claim 1, characterized in that, The kitchen is equipped with 3-5 high-definition acquisition devices, corresponding to the food storage area, refrigeration area, cutting and preparation area, hot food preparation area, and packaging area, respectively, to avoid capturing invalid areas and achieve full coverage of core areas.

3. The system according to claim 1, characterized in that, Food delivery orders are uniquely bound using the order number, timestamp, and device ID. After video capture, encrypted transmission and watermark protection are used to ensure video ownership and privacy.

4. The system according to claim 1, characterized in that, The merchant compliance score is calculated by weighting multiple dimensions, including AI inspection compliance rate, hidden danger rectification rate, traceability completeness, and user evaluation. Insurance premiums and traffic support are dynamically adjusted monthly.

5. The system according to claim 1, characterized in that, The food delivery platform has set up a dedicated section to receive exclusive videos, provide cross-store food safety reviews, ratings, and insurance options, thus building a public oversight ecosystem that differs from single-store reviews.

6. The system according to claim 1, characterized in that, The system has a reserved interface for government regulatory data, which can push merchants' potential risks, rectification records, and compliance ledgers in real time, assisting market supervision and management departments in achieving digital and lightweight supervision.

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