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Professional Haloo Vending Machine Manufacturer & Supplier.

Smart community fresh vending container solution

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.

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200 FAQ NEWS CASE
Although the domestic epidemic has gradually stabilized and our lives are gradually getting on the right track, the epidemic is not over yet, and many areas still have a lot of prevention and control measures.
Since Ma Yun proposed new retail, the term new retail has gradually been mentioned.
The term new retail is gradually being mentioned, and the capital market is also holding high the banner of new retail, and around the slogan of changing traditional retail, new retail businesses have begun to be laid out.
Big data has now begun to gradually change our lives.
Big data brings us three subversive conceptual changes: all data, not random sampling; general direction, not precise guidance; correlation, not causation.
It was McKinsey who first proposed the arrival of the era of big data:“Data has penetrated into every industry and business function area today and has become an important factor of production.
The artistic conception of data in the past few years has gradually penetrated into our lives, and in the future data will have a great impact on all aspects of our lives.
Today, I would like to share with you the trend of big data.
first proposed“The era of big data is coming from McKinsey, a world-renowned consulting firm.
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