Safety helmet wearing detection method

A detection method and helmet technology, which are applied to instruments, biological neural network models, character and pattern recognition, etc., can solve problems such as poor robustness, detection accuracy dependence, and inability to adapt to complex environments, achieving good adaptability and improving The effect of detection accuracy, improved accuracy and ease of use

Pending Publication Date: 2020-07-14
YULIN NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

The detection accuracy of this method depends on the accuracy of the pedestrian detection algorithm, and for each specific scene, the detection model often needs to be retrained, which has poor robustness and cannot adapt to complex environments.

Method used

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Embodiment Construction

[0033] The present invention will be further described below in conjunction with the specific embodiments in the accompanying drawings.

[0034] refer to Figure 1-3 , a safety helmet wearing detection method, the method comprises:

[0035] Obtain the original image of the construction site, amplify the original image by N times through image transformation to obtain the amplified image, the size of N can be set according to the actual situation, in this embodiment, N is equal to 3;

[0036] Annotate helmet information on the augmented image;

[0037] Input the original image, augmented image and helmet information into the target detection network to learn and perform image feature extraction to obtain face features;

[0038] Obtain the face frame diagram according to the face features;

[0039] Determine the head area according to the face frame, and perform helmet detection in the head area.

[0040] Image transformation includes image brightness transformation and mirr...

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Abstract

The invention discloses a safety helmet wearing detection method, belongs to image processing and recognition, and mainly solves the technical problems of poor robustness and poor adaptability of theexisting visual detection safety helmet wearing. The detection method comprises: acquiring an original image of a construction site, and amplifying the original image by N times through image transformation to obtain an amplified image; marking safety helmet information on the amplified image; inputting the original image, the amplified image and the safety helmet information into a target detection network for learning, and performing image feature extraction to obtain face features; obtaining a face block diagram according to the face features; and determining a head area according to the face block diagram, and performing safety helmet detection in the head area. Safety helmet detection is performed in the head area so that the detection input image can be greatly reduced, the detectionarea can be greatly reduced, the detection efficiency and accuracy can be effectively enhanced, the robustness is high and the adaptability is great.

Description

technical field [0001] The present invention relates to image processing and identification, more specifically, it relates to a safety helmet wearing detection method. Background technique [0002] Struck by falling objects is a potential hazard in all industrial sectors, resulting in many cases of work-related injuries and fatalities. Wearing a safety helmet can effectively reduce the injury caused by falling objects. Therefore, in the construction sites of enterprises such as construction industry, manufacturing industry, oil field and chemical plant, it is mandatory for operators to wear safety helmets. The traditional helmet detection method used on the construction site is to first extract the image of the worker from the picture, and then extract the head area from the image of the worker, and judge whether the worker is wearing a helmet from the head area. The detection accuracy of this method depends on the accuracy of the pedestrian detection algorithm, and for ea...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/161G06V40/10G06N3/045
Inventor 黄艳虎王强巫钊甘国妹陈超村陈思谕苏雪王德民莫丹雷
Owner YULIN NORMAL UNIVERSITY
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