Detection system based on big data

Abstract

The invention provides a detection system based on big data. The system comprises an article cabinet, a distribution device, a mobile terminal and a server. The distribution device comprises a gathering device. By using the system, a user experience is improved, a display space is reduced and the space utilization rate of a supermarket or a shopping mall is greatly increased. During a user articleselection process, the manual intervention of the supermarket or the shopping mall is not needed. Because the article is stored in a storage device, a possible theft behavior is avoided and a defectarticle is prevented from providing to a user.

Description

technical field [0001] The invention relates to computer technology, in particular to a detection system, in particular to a detection system based on big data. Background technique [0002] Big data has increasingly appeared in the sight of technicians and even the general public. At present, the research of big data is not only research and development in deep technology, but also applied to the practical application level. The present invention is to use big data to realize industry System upgrades, especially big data-based detection systems for large supermarkets or shopping malls. [0003] In the past, supermarkets usually used the form of shelves for buyers to choose to buy and then pay at the cashier. This model has continued since the rise of supermarkets. However, the existing supermarket model is basically a manual sales method, and the goods need to be sold whether or not. The shelves are placed, and the goods on some shelves do not participate in user interacti...

AI Technical Summary

Problems solved by technology

[0003] In the past, supermarkets usually used shelves for buyers to choose to buy and then paid at the cash register. This model has continued since the rise of supermarkets. However, the existing supermarket model is basically a manual sales method. Whether the goods are sold or not, they need to The shelves are arranged. Some goods on the shelves do not participate in user interaction for a week or even a year. At the same time, more staff are required to participate in the sorting and checkout work, and the user experience needs to be improved, and the checkout efficiency is low.

Moreover, in order to meet the needs of many people buying the same type of items on the existing supermarket display shelves, a large amount of display space is often required for displaying items, which is not conducive to the effective use of space

In view of the existing supermarket model, some supermarkets have already developed an automatic checkout system, and users use their mobile phones to operate the checkout terminal to complete the checkout. However, this method only adds a self-checkout function to the checkout side, and still does not solve the problem of effective use of display space.

[0004] At present, automatic vending devices and even automatic vending supermarkets have appeared on the market, but automatic vending devices are usually too small, often limited to selling beverages and other items, and the categories are not rich. There are similar problems in automatic vending supermarkets, which can only provide small-scale The shopping experience cannot replace the functions of large supermarkets and stores, and in order to facilitate management, the scale is too small and can only deal with occasional experiential shopping

[0005] For the above-mentioned problems existing in the prior art, no effective solution has been proposed yet

Images