The embodiment of the invention provides a model sample collection method, a model sample updating method, electronic equipment and a storage medium, and relates to the technical field of intelligentvending. The method comprises the following steps: receiving a commodity image carrying commodity information sent by an image acquisition device so as to determine the type of commodities purchased by a user; labeling the commodity image according to the commodity type to generate sample tuple data; sending the sample tuple data to a cloud for storage so as to train and update a commodity identification model by utilizing the sample tuple data. According to the method, the model is automatically trained and updated in combination with the shopping behavior of the user, and the problems of repeated work and high operation cost caused by manual repeated training are solved.

Model sample collection method, model sample updating method, electronic equipment and storage medium

The invention relates to the technical field of computers, in particular to a commodity shortage detection method and device, and the method comprises the steps: calling an AI detection model, carrying out the detection of an obtained commodity image, and obtaining a current detection box of each commodity of the commodity image; judging whether the commodity picture is the first commodity picture or not; if so, storing the commodity picture and the current detection box of each commodity; if not, obtaining a first commodity picture and a first detection box of each commodity corresponding to the first commodity picture; calculating a cross-to-parallel ratio between the current detection frame and the first detection frame of each commodity, and determining whether the cross-to-parallel ratio of each commodity is not less than a preset cross-to-parallel threshold; and when one commodity handover ratio is smaller than a handover threshold, determining that the commodity is out of stock. Whether the commodities are lacked or not is determined by calculating the handover ratio between the current detection frame and the first detection frame, and a shop assistant does not need to check the commodity condition of the commodity shelf in real time, so that the labor force of the shop assistant is reduced, and the working efficiency is improved.

Commodity shortage detection method and device

The invention discloses a shelf display recognition method, device and system based on an image recognition technology The method comprises the steps that a standard inventory unit of a standard display map of a shelf, a rectangular area where the standard inventory unit is located, and the classification thereof are acquired; a current display map of the shelf is acquired and detected to acquirea number of rectangular regions, and the rectangular regions are compared with the rectangular region where the standard inventory unit is located respectively; and if the classification is the same,the image of the rectangular region in the current display map of the shelf is input into a recognition model to acquire the display recognition result of the shelf According to the invention, an image is divided into a number of rectangular regions for recognition; the display recognition result of the shelf is acquired by recognizing and analyzing the classification of the inventory unit; theadaptation requirements for the position and the definition of a camera are relaxed; shelf display can be quickly and accurately recognized, which is conducive to data statistical analysis and decision making; and the shelf display recognition method, device and system based on the image recognition technology can be widely applied in the field of image recognition

Shelf display recognition method, device and system based on image recognition technology

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Shelf display recognition method, device and system based on image recognition technology