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Dangerous article identification method and device, equipment and storage medium

A recognition method and dangerous goods technology, applied in the field of computer vision, can solve the problems of difficult identification, low detection rate of dangerous goods, large difference in volume and shape of dangerous goods, etc., and achieve the effect of improving the detection rate

Pending Publication Date: 2021-12-07
BEIJING JINGDONG ZHENSHI INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In the process of implementing this application, the inventors found that there are at least the following problems in the prior art: when dangerous goods are small in size, have no obvious features, or have large differences in shape, it is difficult to identify them, which leads to a relatively low detection rate of dangerous goods. Low

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  • Dangerous article identification method and device, equipment and storage medium
  • Dangerous article identification method and device, equipment and storage medium
  • Dangerous article identification method and device, equipment and storage medium

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Embodiment Construction

[0047] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0048] Dangerous goods identification is an important computer vision technology for security, for example, through the security inspection machine X-ray to check the package without opening the box. The existing image recognition technology for security inspection machines is relatively mature. Plate target detection, image segmentation, etc., all directly search for dangerous goods in ...

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Abstract

The embodiment of the invention provides a hazardous article identification method and device, equipment and a storage medium, and is applied to a computer vision technology. The method comprises the steps of performing feature extraction on a to-be-recognized image, obtaining a feature map corresponding to the to-be-recognized image, and the to-be-recognized image comprises a plurality of articles; according to each feature in the feature map, determining context information related to the feature; and according to the context information corresponding to each feature, identifying whether the plurality of articles contain dangerous articles. According to the method, the detection rate of dangerous goods can be improved.

Description

technical field [0001] The present application relates to computer vision technology, and in particular to a dangerous goods identification method, device, equipment and storage medium. Background technique [0002] For security considerations, in airports, railway stations, subway stations, warehouse sorting places and other places, it is necessary to conduct security inspections on items to identify dangerous items. Usually, a large number of items will pass through the security inspection machine within a certain period of time, which requires the use of computer vision technology to independently assist security personnel to identify dangerous goods and determine the type and package of dangerous goods. [0003] In the process of implementing this application, the inventors found that there are at least the following problems in the prior art: when dangerous goods are small in size, have no obvious features, or have large differences in shape, it is difficult to identify...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/62G06N3/04
CPCG06N3/044G06F18/214
Inventor 盛捷来
Owner BEIJING JINGDONG ZHENSHI INFORMATION TECH CO LTD