Intelligent monitoring method and device and related equipment

Abstract

The invention discloses an intelligent monitoring method. The method comprises the following steps: receiving video information of a commodity shelf sent by image acquisition equipment; receiving a pressure sensing signal, sent by a load sensor, of the commodity shelf; and respectively analyzing and processing the video information and the pressure sensing signal to obtain commodity change information of the commodity shelf. According to the intelligent monitoring method, intelligent management of commodity monitoring is realized, the accuracy of commodity monitoring can be effectively ensured, the operation efficiency is improved, and the operation cost is reduced. The invention further discloses an intelligent monitoring device, equipment, a system and a computer readable storage medium which all have the above beneficial effects.

Description

technical field [0001] The present application relates to the field of Internet technology, in particular to an intelligent monitoring method, and also relates to an intelligent monitoring device, equipment, system and computer-readable storage medium. Background technique [0002] With the rapid development of Internet shopping and the comprehensive popularization of smart phones, smart cities have become the pursuit of goals, and unmanned retail, as an important part of smart cities, is developing rapidly. For traditional retail, "space" and "inventory" have always been the major constraints in the development. The new retail industry pays more attention to cost control. Monitoring shelves and inventory management is also a key link in retail industry management. Effectively manage shelves and inventory. Management can reduce the cost of the enterprise and create a third source of profit. In addition, in the invoicing system / platform, cash register system / platform, and in...

AI Technical Summary

Problems solved by technology

Among them, for manual real-time inventory checking, since the location of each product is different, manual monitoring of the status of the product is extremely inefficient, and additional functions or software are required for subsequent loading and inventory linkage on the shelf. It is cumbersome and has a low degree of intelligence; and the method of real-time monitoring using cameras requires manual investigation for changes in product-related information. However, this method of replenishment is too random, which will affect the overall sales layout, and at the same time, there will be a phenomenon of ignoring inventory, resulting in inaccurate inventory and affecting sales decisions

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