Bulk product energy-saving automatic identification, weighing and settlement method and system

Abstract

The invention discloses a bulk product energy-saving automatic identification, weighing and settlement method and system. The method includes data pre-storage, data collection, data processing, data matching, deduction and settlement, and other steps. The system comprises a storage module, an image data acquisition module, an image data processing module, an image data matching module, a weighingmodule, a manual intervention module, a judgment settlement data generation module, and a fee settlement module. With the method and system of the invention adopted, bulk products in a supermarket shopping mall can be effectively identified and weighed; various accident situations in real operation can be handled quickly; time for awaiting the weighing of the bulk products and time for realizing the settlement of the bulk products can be decreased; settlement efficiency and the accuracy of data can be improved; and the time cost of customers and sellers can be decreased. The bulk product energy-saving automatic identification, weighing and settlement method and system has the advantages of high intellectualization degree, high identification rate, high adaptability, high practical value and bright application prospect.

Description

technical field [0001] The invention relates to the technical field of automatic settlement systems, in particular to an energy-saving automatic identification, weighing and settlement method and system for bulk items. 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. [0003]...

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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