Professional Haloo Vending Machine Manufacturer & Supplier.
The community fresh food unmanned vending container adopts the latest technology to open the door by scanning the code (or swiping the card), open the door for self-collection, and close the door automatically. As the landing of new retail, the big data platform behind it can analyze the daily life of residents. Consumption data can help the government make production and sales analysis, slow-sales allocation, and provide data decision-making for the operation of smart cities and smart communities. At the same time, it can also provide monitoring data, purchase industry data, etc., for government analysis. The current mainstream smart container technology solutions include RFID electronic tag identification, gravity sensing, and visual identification. Among them, the cost of RFID identification schemes that need to attach electronic tags to goods is too high, and has gradually faded out of the field of vision of operators. Next, the author will focus on several solutions of gravity sensing and visual recognition, and do in-depth analysis from the aspects of technical principles and user experience. The gravity sensing solution is equipped with a gravity sensor on each cargo lane. The core principle is to judge the goods actually taken by consumers by sensing the change of gravity on the cargo lane. Based on the underlying principles, the solution has the following application features: (1) does not involve the construction of artificial intelligence algorithm models, and does not require learning of products, which is convenient for new products. (2) It can automatically weigh and sell bulk fresh products, which is very suitable for community students. Fresh retail scene; (3) Support multi-category SKU sales, products can be stacked to make full use of cabinet space. At the same time, in this scheme, the weight of the product has become the only identification standard, which has also caused many drawbacks: (1) SKUs with the same weight cannot be identified; (2) Identification errors will occur after the position of the product is replaced; (3) Flatulence after long-term placement Influencing factors such as, humidity, etc. will cause the weight of the product to change. At the same time, it is difficult for the gravity sensor to perceive small changes in gravity after a long-term deformation, and the recognition accuracy cannot be guaranteed; (4) Only perceive the gravity variable of a single consumption, and does not involve inventory. Operational management caused difficulties.