Supermarket anti-theft automatic identification, weight and settlement method and system

Abstract

The present invention discloses a supermarket anti-theft automatic identification, weight and settlement method and system. The method comprises steps of: data pre-storage, data collection, data processing, data matching and withholding settlement; the system comprises a storage module, an image data collection module, an image data processing module, an image data matching module, a weighing module, a manual intervention module, a determination settlement data generation module and an expense settlement module. The supermarket anti-theft automatic identification, weight and settlement methodand system can effectively perform automatic identification and weighing of various articles in a supermarket, are high in identification rate and high in adaptation, can rapidly discover stealing behaviors and can process various accident condition in the reality of operating, can reduce the time to be weighed and settled of articles in bulk, can improve the settlement efficiency and data accuracy, can reduce the customers' and sellers' time cost, can simplify the monitoring cost of the supermarket and have a high practical value and a wide application prospect.

Description

technical field [0001] The invention relates to the technical field of automatic settlement systems, in particular to a method and system for anti-theft automatic identification, weighing and settlement in supermarkets and shopping malls. Background technique [0002] In the prior art, most of the packaged goods in supermarkets or shopping malls will have barcodes or identifiers, which can be scanned manually at the checkout, but there are also many vegetables, fruits, bulk foods or bulk supplies that require manual identification and queuing. However, this manual recording method not only has low work efficiency, but also is prone to errors. With the development of image recognition technology, image recognition technology is also applied to item weighing, but it is rarely applied to bulk items. Guaranteeing consistency cannot be solved. On the other hand, how to avoid errors in actual operation and the correction of suspicious results are also issues that must be paid att...

AI Technical Summary

Problems solved by technology

[0002] In the prior art, most of the packaged goods in supermarkets or shopping malls will have barcodes or identifiers, which can be scanned manually at the checkout, but there are also many vegetables, fruits, bulk foods or bulk supplies that require manual identification and queuing. Heavy, this way of manual recording is not only low in work efficiency, but also prone to errors

With the development of image recognition technology, image recognition technology is also applied to item weighing, but it is rarely applied to bulk items. Guaranteeing consistency cannot be solved. On the other hand, how to avoid errors in actual operation and the correction of suspicious results are also issues that must be paid attention to

[0003] At the same time, the existing checkout method is usually that the cashier scans the product's own label or the weighed internal label one by one, and then obtains the price of the product with a sentence of product information, and then accumulates the consumption of the purchased products. The total amount is paid, which is more troublesome and time-consuming

[0004] In addition, in the prior art, the management personnel of shopping malls and supermarkets need to manually count and calculate how many items are sold, how much turnover, how much profit, and how much inventory is. The management efficiency is too low and urgently needs improvement.

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