Goods identification method and device

Abstract

The invention provides a goods identification method. The goods identification method comprises the steps that the weight data and location information of a taken-out goods are compared with the goodsweight data and the position information stored in advance in an unmanned display cabinet built-in storage module to generate a comparison result; and the category and quantity of goods are identified according to the comparison result. The goods identification method uses gravity sensing for identification, and is not limited by the shape and size of the goods. As long as the goods can be placedon a tray, the goods can be identified, and the category number of the goods to which the goods identification method can be applied is greatly expanded. Since the position information of the goods is recorded at the same time, even the goods of the same weight can be accurately identified. The problem of the double weight is further effectively solved. Even if the weight of a plurality of goodsis the same as the weight of other goods, the identification can still be effectively and correctly realized by judging the position of the goods. The problem of identification of very similar goods is further solved. The goods identification method has the accuracy, efficiency and ease of use of goods identification. The invention further provides a goods identification device.

Description

technical field [0001] The present disclosure relates to the technical field of electronic equipment, and in particular, to a commodity identification method and device. Background technique [0002] Unmanned vending cabinet is one of the most commercially automated new equipment at present. It is not limited by time, place, and space. It can save manpower and facilitate transactions. It is a new form of commercial retail, also known as 24-hour business. Micro supermarkets are the future development trend. [0003] At present, most unmanned vending cabinets use radio frequency identification technology (RF ID) to identify goods and control losses. Radio frequency identification technology itself has defects, high cost, and unstable performance: if it is easy to be shielded by metal or liquid, it will be easy to use after a long time. Failure, when there are multiple items, it is easy to miss reading, slow response, and easy to damage. The unmanned vending cabinet solutions...

AI Technical Summary

Problems solved by technology

[0007] The existing gravity commodity recognition technology has the following disadvantages: in order to effectively distinguish commodities, multiple sensors need to be installed for different positions, and one sensor corresponds to one or a small number of commodities with large differences in average weight

Between different batches of the same product, the weight variation is often relatively large, which can only be adjusted by adjusting the preset threshold, which will affect products with similar average weight and limit the product categories that can be identified at the same time

Products with similar weights cannot be effectively identified, such as 250g product A and 250g product B

Because the weight of the product is compared with the average weight of the product in the preset system to determine which product is within a certain threshold, so products with similar weights within the threshold cannot be effectively distinguished

Unable to identify double-heavy products. If there are 50g and 25g products in the cabinet at the same time, it is impossible to judge whether two 25g products or a 50g product have been taken out, and effective identification cannot be carried out.

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