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Safety belt wearing recognition method, device and electronic equipment

An identification method and technology of electronic equipment, applied in the field of transportation, can solve problems such as unfavorable maintenance, increase the difficulty of model training and deployment, and complicate the model, so as to reduce the difficulty of model training and final deployment, improve the accuracy of judgment, Ease of post-maintenance effect

Active Publication Date: 2020-08-14
重庆紫光华山智安科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This not only leads to the complexity of the model, but also increases the difficulty of model training and deployment, and is not conducive to later maintenance

Method used

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  • Safety belt wearing recognition method, device and electronic equipment
  • Safety belt wearing recognition method, device and electronic equipment
  • Safety belt wearing recognition method, device and electronic equipment

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Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0026] Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0027] It should be noted that relative ter...

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Abstract

The embodiment of the invention provides a safety belt wearing recognition method, a device and electronic equipment, and relates to the technical field of traffic. The safety belt wearing recognitionmethod comprises the steps of acquiring a to-be-recognized image area in a monitoring image frame; identifying the to-be-identified image area by using a safety belt recognition model to obtain a first confidence degree classified as normal wearing and a second confidence degree classified as image blurring; according to the first confidence coefficient and the second confidence coefficient, judging whether a person appearing in the to-be-identified image area wears a safety belt or not; wherein the safety belt recognition model comprises a first classification branch and a second classification branch which are arranged in parallel; wherein the first classification branch is used for identifying a first confidence coefficient corresponding to a to-be-identified image region; wherein thesecond classification branch is used for identifying a second confidence coefficient corresponding to the to-be-identified image area. Thus, end-to-end processing is realized while the recognition accuracy is improved, the problem that model training and final deployment are difficult is reduced, and later maintenance is facilitated.

Description

technical field [0001] The present invention relates to the technical field of transportation, in particular to a safety belt wearing identification method, device and electronic equipment. Background technique [0002] The importance of wearing seat belts in driving is self-evident. However, there are still behaviors of not wearing seat belts during driving. At present, supervision is an effective means to solve the problem of not wearing seat belts. However, manual supervision requires high labor costs and there may be omissions. [0003] In related technologies, a deep learning model is used to identify whether the driver and passengers in the vehicle appearing in the surveillance video are effectively wearing seat belts. However, when directly using the deep learning model to distinguish whether the driver or passenger is not wearing a seat belt, it may be disturbed by the quality of the monitoring image. lead to an increase in misjudgment rate. If you want to further...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/54G06N3/045G06F18/241
Inventor 翟波
Owner 重庆紫光华山智安科技有限公司