User-purchased product identification method and device and intelligent shelf system

Abstract

The invention provides a user-purchased product identification method and device and an intelligent shelf system. The method comprises the steps that a first monitoring image collected in a monitoringarea corresponding to a cargo box is acquired, and the first monitoring image is identified to acquire an identification result including user identity information; when the weight of a product is reduced, the time when the product is picked up is acquired, and the information of the product picked up is acquired; the user identity information corresponding to the product picked up is acquired; and the user identity information and the information of the product picked up are associated. According to the method, the device and the intelligent shelf system, automatic sensing of the purchased product and automatic binding of the product information and the user identity are realized; an intelligent shelf is used as a carrier to automatically sense the customer-purchased product, which savesthe labor cost; the identification is fast and accurate, and the shopping efficiency is improved; and the product and a user are bound without any operation of the user, which can enhance the shopping experience.

Description

technical field [0001] The invention relates to the technical field of automatic vending, in particular to a method and device for identifying commodities purchased by users, and an intelligent shelf system. Background technique [0002] The development of artificial intelligence technology has brought huge innovations to the retail industry. At present, many unmanned stores and unmanned supermarkets have opened one after another. Perceiving the purchased products and binding the products to users are two important links in the entire shopping process. In traditional retail stores, the perception of purchasing goods and the binding of customers are observed by the naked eye of the salesperson, and the entire process is completed manually. In large supermarkets, the perception of purchasing goods can be realized by scanning barcodes, identifying the types of goods and bringing out information such as prices to complete the acquisition of product information. Most of the cur...

AI Technical Summary

Problems solved by technology

[0003] However, the existing technical solutions for perceiving purchased products and binding them to users have defects: traditional stores rely on labor, and labor costs are high, and since the types and prices of products are memorized by people, it is difficult to expand categories to more Large scale is difficult; traditional supermarkets scan barcodes, and the access to product information is completed by the background system, but the operation of scanning barcodes is labor-intensive, and the efficiency is low, and it is easy to cause congestion in the payment channel, and the overall user experience is poor; the Rfid solution has realized The automatic perception of purchasing goods and the automation of customer binding, but there are problems of high cost. In addition, different radio frequencies have an impact on the stability of commodity media and there are problems such as malicious shielding by users

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