Method and device for detecting placement state of commodity, and computer storage medium

A technology for placing position and goods, applied to computer components, calculations, instruments, etc., can solve the problem of consuming a lot of human resources and achieve the effect of saving labor costs

Inactive Publication Date: 2020-05-12
BEIJING MISSFRESH ECOMMERCE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In related technologies, after the replenishment personnel add products to the unmanned container, the quality inspection personnel usually manually check whether the product placement status meets the requirements, resulting in the consumption of a lot of human resources in the detection process

Method used

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  • Method and device for detecting placement state of commodity, and computer storage medium
  • Method and device for detecting placement state of commodity, and computer storage medium
  • Method and device for detecting placement state of commodity, and computer storage medium

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Embodiment Construction

[0061] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0062] Before explaining the method for detecting the placement status of commodities provided by the embodiment of the present application, the application scenario of the embodiment of the present application is firstly explained.

[0063] The use of artificial intelligence technology can realize automatic and accurate identification of goods by unmanned containers (wherein, unmanned containers are also called smart cabinets, etc.). At present, the trained network model is mainly used to recognize the images of the goods in the unmanned container. In a large-scale commercial scenario, if the goods in the unmanned container are placed randomly, various occlusions may appear between each layer of goods in the unmanned container. ...

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Abstract

The invention discloses a method and device for detecting the placement state of a commodity and a computer storage medium and belongs to the field of artificial intelligence. The method comprises thefollowing steps that: a target image is processed according to a commodity identification model, so that a plurality of image areas, a commodity identification result corresponding to each image areaand confidence corresponding to each image area can be obtained; if a first image area exists in the plurality of image areas, the first image area is marked in the target image; and a first re-placement prompt message is generated, wherein the first re-placement prompt message carries the target image marked with the first image area and is used for prompting replenishment personnel to re-adjusta commodity placement state according to the marked target image. Therefore, with the above method adopted, the commodity placement state can be automatically detected; whether the commodity placed by the replenishment personnel meets related requirements or not can be determined; a manual mode is not needed; and therefore, a large amount of labor cost is saved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a method, device and computer storage medium for detecting the placement status of commodities. Background technique [0002] With the development of artificial intelligence technology, unmanned containers are becoming more and more popular among users because of their convenience. When there is a shortage of goods in the unmanned container, the replenishment personnel need to add goods to the unmanned container to ensure sufficient supply of the unmanned container. After the replenishment personnel add products to the unmanned container, they need to ensure that the placement of the product meets the specifications, so that the background server can correctly identify the product purchased by the user through the image collected by the unmanned container during the subsequent sales process. [0003] In related technologies, after the replenishment ...

Claims

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Application Information

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IPC IPC(8): G07F9/02G06K9/00
CPCG07F9/026G06V20/00
Inventor 邓博洋龙寿伦程杨武
Owner BEIJING MISSFRESH ECOMMERCE CO LTD
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