Automatic identification and weighing settlement method for bulk articles

Abstract

The invention discloses an automatic identification and weighing settlement method and system for bulk articles. The method comprises steps of data pre-storage, data acquisition, data processing, datamatching and settlement. The system comprises a storage module, an image data acquisition 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 a fee settlement module. The method and the system are advantaged in that the bulk items in a supermarket can be effectively identified and weighed, the system intelligence degree is better, the identification rate is relatively high, adaptability is relatively strong, a variety of unexpected situations in real-world operation can be quickly processed, the time taking for waiting for weighing and settlement of the bulk items is reduced, settlement efficiency and data accuracy are improved, the time cost of customers and a selleris reduced, and high practical values and broad application prospects are achieved.

Description

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

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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