Supermarket and shopping mall automatic recognition, weighing and settlement method and system

Abstract

The invention discloses a supermarket and shopping mall automatic recognition, weighing and settlement method and system. The method includes steps of data pre-storage, data acquisition, data processing, data matching, and deduction settlement etc. The system comprises a storage module, an image data acquisition module, an image data processing module, an image data module, a weighing module, an artificial intervention module, a determination settlement data generation module and a cost settlement module. According to the method and the system, automatic recognition and weighing of various articles in supermarkets and shopping malls can be effectively realized, the intelligence degree of the system is good, the recognition rate is high, the adaptability is high, various accident conditionsin reality operation are processed, the time for waiting weighing and settlement of bulk articles is reduced, the settlement efficiency and the data accuracy are improved, the time cost for customersand sellers is reduced, and high practical value and wide application prospect are achieved.

Description

technical field [0001] The invention relates to the technical field of automatic settlement systems, in particular to an automatic identification, weighing and settlement method and system for 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 attention to. ...

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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