Intelligent vending commodity identification and detection method

Abstract

The invention provides an intelligent vending commodity identification and detection method, which comprises the following steps: establishing a commodity picture data set of an identification item, performing grouping according to the same number of categories contained in each group, and selecting one group as a mark; training the established Faster R-CNN by using a group of marked picture data;automatically marking the next group by using the trained Faster R-CNN weight value; screening and correcting mark results, and adding the mark results into a training set for training until trainingof all picture data is completed; and if a picture data set needs to be added, adding commodity identification types, and repeating the related steps until training is completed. According to the method, circulation deep learning of the commodities of the vending machine is achieved, conversion from less-sample weak supervised learning to multi-sample strong supervised learning is achieved, the categories of the commodities can be freely selected and recognized according to the actual situation, the complex workload of image marking is reduced, the deep Faster R-CNN detection performance is improved, and the over-fitting risk is reduced.

Description

technical field [0001] The invention relates to the technical field of intelligent vending and visual target detection and recognition, in particular to a method for identifying and detecting intelligent vending commodities. Background technique [0002] In recent years, intelligence has become the focus of attention in various fields at home and abroad, and image recognition, as an important research field in intelligence, has also attracted much attention. In the retail industry, unmanned vending machines have appeared in many public places such as subways, parks and schools due to their small size, easy placement, safety and convenience, and have been widely recognized by consumers. [0003] The traditional vending machine sales methods mainly include: First, the customer selects a product on the keyboard of the vending machine and presses the corresponding button, and then chooses cash or non-cash payment. After the payment is completed, the consumer can Take the goods ...

AI Technical Summary

Problems solved by technology

The above method proposes a method and device for managing the inventory of autonomous vending machines through image recognition. In essence, it does not use visual recognition technology to increase consumer experience and save costs, nor does it change the above-mentioned traditional retailing methods of autonomous vending machines.

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