Matching method and system for recognition models

Abstract

The invention relates to a matching method and system for recognition models. The method comprises the steps of acquiring first input information; based on the first input information, acquiring commodity general information corresponding to the first input information; when the commodity general information corresponding to the first input information meets a first preset condition, acquiring oneor more pieces of candidate commodity local information, wherein the commodity local information is matched with the commodity general information; when two or more than two pieces of candidate commodity local information exists, acquiring second input information, and determining one piece of commodity local information corresponding to the commodity general information; and when only one pieceof candidate commodity local information exists, taking the candidate commodity local information as the commodity local information corresponding to the first input information. The method is suitable for a plurality of stores, achieves quick recognition of commodities, and improves the shopping experience of customers.

Description

technical field [0001] The present application relates to the field of product identification, in particular to a matching method and system for identification models. Background technique [0002] The process of purchasing some commodities (such as vegetables and fruits) in a supermarket may include: the consumer selects the commodity to be purchased, and then the staff weighs it, and manually enters the commodity type or numerical code (the commodity numerical code is usually in a specific digit) string representation, for example, "water spinach" corresponds to "1101", "cabbage" corresponds to "1102", etc.), and then a barcode is printed for subsequent settlement, or direct settlement. In some cases, consumers weigh themselves in the self-service equipment, manually enter the type of goods and settle the bill. Since there are often many types of products, it may take a long time to manually input product types or numerical codes, which affects consumer experience and sup...

AI Technical Summary

Problems solved by technology

Since there are often many types of products, it may take a long time to manually input product types or numerical codes, which will affect consumer experience and supermarket operating efficiency, and may require high personnel training costs.

Furthermore, the product value codes of the same product in different supermarkets may be different, and consumers need to memorize the product value codes of the same product in different supermarkets, which will affect the shopping experience of consumers

Images