Intelligent weighing device based on multi-sensor recognition and analysis method thereof

Abstract

The invention discloses an intelligent weighing device based on multi-sensor recognition. The intelligent weighing device comprises an intelligent scale terminal, a feature database, a variety featuremodeling module, a commodity weight input module, a sales volume analysis module, a cloud server and a purchase adjustment terminal. According to the invention, multi-sensing identification is integrated; whether the collected type and number of the corresponding vegetable commodities on the weighing platform are one vegetable commodity type or not can be identified; the identification of vegetable varieties is improved; the method has the characteristic of high identification accuracy; the intelligent unmanned weighing operation of the supermarket is effectively maintained; the vegetable loss coefficient corresponding to each vegetable commodity type can be effectively counted; meanwhile, the purchase quantity of each vegetable commodity type is evaluated according to the vegetable losscoefficient and the sales weight. According to the method, the sales volume and the reduction of the discount coefficient can be considered at the same time, the method has the characteristic of intelligent analysis and evaluation, and the corresponding discount coefficient can be screened out according to the monthly frequency so as to provide discount discounts for purchasers purchasing vegetable commodities for a long time and promote sales of the vegetable commodities in the shopping mall.

Description

technical field [0001] The invention belongs to the technical field of intelligent scales, and relates to an intelligent weighing device based on multi-sensor identification and an analysis method thereof. Background technique [0002] Going to the supermarket to buy daily necessities and vegetables is an indispensable thing in people's life. At present, there are many kinds of vegetables in the supermarket, especially during the morning peak and evening peak periods, the number of people buying vegetables in the supermarket is large. Manual weighing not only requires Weighers have proficient weighing skills, and they are required to be clear about the code instructions corresponding to each vegetable commodity category. Once the weighers are not proficient in the code instructions of each vegetable commodity category, it will lead to the purchase of vegetable commodities. Waiting in line for a long time for weighing will increase the waiting time for each purchaser, which w...

AI Technical Summary

Problems solved by technology

[0004] The object of the present invention is to provide an intelligent weighing device based on multi-sensor identification and its analysis method, which solves the problems in the prior art that the recognition accuracy of weighing vegetable commodity types is poor, and the discount of each

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