Vending machine capable of brushing face and quantitatively getting relief food, grain and oil

Abstract

The invention innovatively discloses an automatic vending machine for quantitatively getting relief food through face recognition, grain and oil, which integrates a face recognition technology, a quantitative control function, a relief qualification auditing system and a cloud platform management system. The vending machine comprises a main control module, a network cloud platform communication module, a remote background cloud service system, a face recognition face scanning verification and quantitative food, grain and oil receiving execution control unit and a standby identity verification module (such as IC card, WeChat, Alipay and other payment units). The spring goods channel with the adjustable width is controlled through the quantitative executing mechanism, so that the relief food, grain and oil fall into the receiving opening from the spring goods channel to be received by people needing relief and hungry children, and many problems existing in a traditional manual distribution mode of the relief food, grain and oil are effectively solved.

Description

Technical Field

[0001] This invention belongs to the advanced field of intelligent vending equipment technology, specifically a vending machine that integrates facial recognition technology, quantitative control functions, a relief eligibility review system, and cloud platform system management. This vending machine is primarily suitable for social welfare institutions, public welfare organizations, governments, and global poverty reduction organizations to accurately distribute food, grain, and oil to specific groups. Background Art

[0002] Traditional relief food distribution methods present numerous challenges that need to be addressed. First, manual registration is not only extremely inefficient but also prone to errors and carries a high risk of fraudulent claims. Second, the inability to precisely control the frequency and quantity of claims leads to significant resource imbalances. Third, the lack of an effective identity verification mechanism hinders data-driven management, making the statistics and traceability of relief food and oil distribution extremely challenging.

[0003] Against the backdrop of global poverty reduction and the continued development of social welfare and public welfare, the rationing of relief food, grain, and oil for specific groups has become increasingly important. Traditional methods of distributing relief food, grain, and oil have numerous drawbacks and are far from meeting the needs for precise and efficient distribution.

[0004] Therefore, designing an intelligent device that can effectively address the issues of traditional food distribution has significant practical significance and positive impact. To address these issues, the patented invention of a "face-based quantitative relief food and oil vending machine"—a system that integrates facial recognition and identity verification with a payment system—came into being. Combining multiple advanced technologies, it promises to revolutionize and significantly advance the distribution of relief food and oil. Summary of the Invention

[0005] It adopts a thickened metal body structure and explosion-proof glass panel door. This solid structure has extremely high strength and reliable safety, which can provide solid protection for the stable operation of the equipment.

[0006] Facial recognition and verification are seamlessly integrated with a quantitative control system. The facial recognition module accurately binds user identity information, and leverages a cloud-based database to strictly verify eligibility. It also sets reasonable limits on monthly, weekly, daily, and single-time collection amounts to ensure the precise allocation of relief resources.

[0007] A dynamic cloud-based platform management system for verifying relief eligibility connects to the cloud-based management databases of various government poverty reduction agencies, the Food and Agriculture Organization of the United Nations, and charitable organizations, providing real-time updates on user relief status and quotas. Receipt data is synchronized to the cloud for comprehensive traceability and statistics. This system makes the distribution of relief food and oil more transparent and traceable, significantly improving the fairness and credibility of the work.

[0008] The sliding, tilted shelves, adjustable-width spring aisles, and quantitative delivery mechanism precisely control delivery volume. Each aisle corresponds to a specific food type (such as rice, flour, cooking oil, staple food packs, and nutrition packs), achieving precise quantitative distribution through scientific control.

[0009] Emergency function expansion: IC card, WeChat, and Alipay support scan code / swipe card backup verification methods to prevent system failures from causing interruptions in collection, while meeting the diverse needs of daily shopping, reflecting the humanized design of the device.

[0010] Supports multiple text and language prompts. The system integrates multiple text and voice guidance modules to adapt to practical applications in countries around the world and the great progress of global poverty reduction.

[0011] Due to the adoption of the above advanced technical solutions, the present invention can achieve significant positive effects:

[0012] Improve efficiency: Through facial recognition and automatic quantification, without the need for human intervention, the distribution time is greatly shortened, and the efficiency of relief food distribution is significantly improved, allowing more people in need to receive help in a timely manner.

[0013] Precise distribution: Relief food, grain and oil can be distributed accurately and quantitatively according to preset standards, effectively avoiding the situation of distributing too much or too little, ensuring the rational allocation of relief resources, truly making the best use of resources, and benefiting more needy groups.

[0014] Preventing fraudulent claims: Facial recognition technology ensures that only eligible individuals and children can receive relief food, eliminating the occurrence of fraudulent claims at the source, ensuring the fairness and safety of the distribution of relief food, grain and oil, and maintaining social fairness and justice. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The overall structural diagram shows the metal thickened body 100, the facial recognition screen 200, the IC card WeChat, Alipay and other payment 300, the code scanning / card swiping port 400, the adjustable width spring cargo aisle 500, the temperature control module (refrigeration / heating area) 600, the explosion-proof glass panel door 700, the anti-theft pickup port 800, and the main cloud platform control system 900, which clearly shows the overall layout of the equipment and is convenient for staff to operate and maintain.

[0016] Master cloud platform control system 900 connection diagram The main cloud platform control system 900 includes a main control module 901, a network cloud platform communication module 902, a remote background cloud service system 903, a face recognition verification and quantitative collection unit 904, a backup identity authentication module (IC card, WeChat, Alipay payment unit) 905, and a quantitative food collection execution control unit 906, which intuitively presents the internal structure and working principle of the system. DETAILED DESCRIPTION

[0017] Identity Recognition: When a person in need of relief arrives at a vending machine that allows them to receive relief food and oil in fixed quantities by scanning their face, they must scan their face in front of facial recognition device 200 (children can be held or supported by a parent or volunteer). Facial recognition device 200 quickly captures the facial image and transmits it to the main cloud platform control system 900 for precise comparison with pre-stored facial information of the person in need of relief. If the comparison is successful, the system immediately confirms the person's eligibility and clearly displays the available relief food information and the standard quantity on display screen 200.

[0018] Quantitative distribution: The main cloud platform control system 900 accurately controls the corresponding quantitative food collection execution control unit 904 according to the preset scientific quantitative standards. By controlling the quantitative execution control unit 906 of the adjustable width spring cargo channel 500 to work stably, the relief food falls smoothly from the spring cargo channel 500 into the anti-theft pickup port 800 for convenient collection by people in need of relief.

[0019] Recording and Management: After each distribution of relief food and oil, the control system records detailed data such as the recipient's identity, time of receipt, type and quantity of food received, etc. through the cloud platform 902, facilitating subsequent comprehensive statistics and efficient management. This data facilitates real-time monitoring and in-depth analysis of relief food and oil distribution, providing a strong basis for continuously optimizing relief programs and promoting the sustainable development of social welfare.

[0020] The face-scanning quantitative relief food and oil vending machine of the present invention successfully realizes the efficient and accurate distribution and data-based management of relief food through the coordinated and efficient operation of the face recognition screen face recognition system 904, the quantitative food collection execution control unit 906 and the main control cloud platform control system 900, effectively solving many problems existing in the traditional manual distribution method of relief food, and making positive contributions to global poverty reduction and social welfare.

Claims

1. A vending machine for receiving a fixed amount of relief food and oil by face recognition, comprising: ——Master cloud platform control system: including master control module, network cloud platform communication module, and remote background cloud service system ——Face recognition verification and quantitative collection unit ——A dynamic cloud platform management system for verifying relief eligibility in the cloud can be connected to the cloud platform management database of various government poverty reduction agencies, the Food and Agriculture Organization of the United Nations or public welfare organizations, and can update the user's relief status and quota in real time, and synchronize the collection data to the cloud. ——Alternative identity authentication module (IC card, WeChat, Alipay and other payment verification units).

2. According to claim 1, the system supports multiple text and language prompts. The system integrates multiple text and voice guidance modules to be applicable to applications in countries around the world and global poverty reduction.

3. According to claim 1, the fuselage structure adopts a metal thickened fuselage structure and an explosion-proof glass panel door.

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