Commodity dynamic information generation method, device and equipment and computer readable medium

Abstract

The invention discloses a commodity dynamic information generation method, device and equipment and a computer readable medium, and belongs to the technical field of computers. The method comprises the steps of collecting induction information of a goods shelf and a dynamic image of a customer; screening out an effective dynamic image corresponding to the sensing information from the dynamic images; determining first commodity information corresponding to the sensing information; determining second commodity information corresponding to the commodity in the effective dynamic image; comparing the first commodity information with the second commodity information to obtain a commodity comparison result; comparing the commodity comparison result with an information generation condition, and if the information generation condition is satisfied, generating commodity dynamic information. According to the invention, the second commodity information is obtained by using the effective dynamic image corresponding to the shelf sensing information, the second commodity information is compared with the first commodity information obtained according to the sensing information, and the commodity dynamic information is generated according to the comparison result; therefore, the condition of identification errors caused by the fact that the commodity dynamic information is generated only according to the first commodity information in the prior art is avoided.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method, device, electronic equipment and computer-readable medium for generating commodity dynamic information. Background technique [0002] At present, unmanned retail stores have become a new trend in commodity retailing. In unmanned retail stores, the shelf can sense whether the goods are taken by the user through the weight change of the goods it carries, so as to realize automatic settlement. As mentioned above, although the existing technology has the advantage of simple implementation, because the sensing algorithm based on weighing trigger is not real-time response, and the situation of mistaking and misplaced by the user and the wrong weighing of the shelf will lead to the problem of misidentification of the goods taken, Therefore, it is necessary to further improve the real-time performance and accuracy of the automatic sensing of commodity picking. Conte...

AI Technical Summary

Problems solved by technology

As mentioned above, although the existing technology has the advantage of simple implementation, because the sensing algorithm based on the weighing trigger does not respond in real time, and the situation of mistaking and misplaced by the user and the wrong weighing of the shelf will lead to the problem of misidentification of the goods taken, Therefore, it is necessary to further improve the real-time performance and accuracy of the automatic sensing of commodity picking

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