Worker violation behavior monitoring method

A technology for workers and behaviors, applied in the field of worker violation monitoring, which can solve problems such as changeable, inability to give early warning of workers violations, and lack of tracking functions, achieving high accuracy and facilitating processing.

Active Publication Date: 2020-01-14
HUAZHONG UNIV OF SCI & TECH
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  • Claims
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Problems solved by technology

[0006] Aiming at the defects of the existing technology, the purpose of the present invention is to provide a method for monitoring workers’ violations, aiming at solving the problem th

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  • Worker violation behavior monitoring method

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[0040] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0041] In order to achieve the above objectives, the present invention provides a method for monitoring violations of workers, such as figure 1 As shown, including the following steps:

[0042] S1. Continuously input each frame of image in the video surveillance into the pre-trained worker violation detection model, and identify the violation behavior of the workers in each image;

[0043] Specifically, the worker's violation detection model takes the entire image as input, and outputs the positions of all detected personnel and whether they wear a safety helmet correctly. The detection result of ...

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Abstract

The invention discloses a worker violation behavior monitoring method, and the method comprises the steps: designing a multi-scale prediction target detection model, carrying out the prediction of a violation target at four scales, and obtaining the category information and position information of the violation target. According to the method, the deep-layer features and the shallow-layer featuresare fused by using a double up-sampling rate, and the target is detected from different scales, so that the method has relatively high accuracy. Besides, the method provided by the invention can takealarm measures for workers having violation behaviors according to the detection result; the workers who detect the violation behaviors are tracked; according to the method, whether the workers having violation behaviors in two adjacent frames of video images are the same person or not is judged, the situation that the violation behaviors of the same violation worker are recorded multiple times due to the fact that only a single frame of image is considered is avoided by considering the time domain information, violation information processing of managers is facilitated, and the method is a more accurate monitoring method.

Description

technical field [0001] The invention belongs to the field of target detection and tracking, and more specifically relates to a method for monitoring worker violations. Background technique [0002] During the construction process, ensuring construction safety is an important link to improve production efficiency, enhance enterprise benefits, and ensure employee safety. It is of great significance to design and produce an intelligent monitoring system so that it can automatically and accurately identify, judge, locate, and track workers in a complex and changeable industrial environment. Specifically, this system can detect workers within the scope of the camera in real time through the camera to determine whether they are not wearing safety helmets or safety belts, and at the same time track personnel through the tracking module combined with the detection module. To prevent repeated identification, etc., if an employee who violates the rules is found, an alarm will be issu...

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Application Information

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IPC IPC(8): G06K9/62G06K9/00G06T7/277
CPCG06T7/277G06T2207/10016G06T2207/30196G06T2207/30232G06V40/20G06F18/214G06F18/253
Inventor 韩守东何超刘东海生马迪
Owner HUAZHONG UNIV OF SCI & TECH
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