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A vision-based safety belt detection method and system

A detection method and detection system technology, applied in the field of visual detection, to achieve the effect of improving precision and recall

Inactive Publication Date: 2021-06-11
南京佑驾科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, since the detection system is only aimed at the inside of the buckle, there are certain limitations. The driver can shield the seat belt prompt by using the seat belt buckle, or directly inserting the seat belt into the buckle from the back, so that the driver can block the seat belt prompt when the safety belt is not fastened. driving with

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  • A vision-based safety belt detection method and system

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Embodiment Construction

[0037] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the following The described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0038] Such as figure 1 As shown, a vision-based seat belt detection method includes:

[0039] Use the camera to obtain the picture data of the main driver / copilot, and the installation of the camera needs to ensure that the area to be analyzed enters the lens picture;

[0040] Carry out key point detection of the human body on the pict...

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Abstract

The invention discloses a vision-based safety belt detection method and system. The vision-based safety belt detection method comprises the following steps: acquiring primary driver / co-driver picture data; performing human body key point detection on the main driving / co-driving picture data, determining the positions of human body key points, and the human body key points being the shoulders and the waist; carrying out expansion matting on the key point positions of the human body to obtain a matted picture; and inputting the matted picture into a pre-trained deep neural network to classify whether the safety belt is fastened or not, if the classification is that the safety belt is not fastened, giving an alarm, otherwise, not giving an alarm. The invention has the advantages that the human body key point detection technology is used for detecting key points of the upper limbs, the shoulders and the waist of the human body, then the deep learning classification network is used for classifying the matted image areas to judge whether the safety belt is fastened or not, and the technical scheme of the invention enables the safety belt detection to be obviously improved in detection precision and recall.

Description

technical field [0001] The invention relates to a vision-based safety belt detection method and system, belonging to the technical field of vision detection. Background technique [0002] With the development of the economy, the speed of urban construction is accelerating, and the number of cars is increasing year by year. The continuous increase in the number of cars has brought a huge burden to the urban traffic system. The existence of illegal driving and bad driving behaviors makes traffic safety particularly important. Drivers who do not wear seat belts are directly related to the safety of themselves and others. [0003] The traditional seat belt detection is triggered by the contact switch inside the buckle. When the driver enters the cab and turns on the ignition key, the controller starts to work. When the seat belt is not inserted into the buckle, the circuit of the car seat belt sound prompt device is turned on to remind the driver After wearing the seat belt, th...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/08
CPCG06N3/08G06V40/103G06V20/597G06F18/241
Inventor 黄宇维刘国清杨广周滔
Owner 南京佑驾科技有限公司
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