Construction safety helmet wearing monitoring method based on computer vision human body posture estimation

Abstract

The invention discloses a construction safety helmet wearing monitoring method based on computer vision human body posture estimation. The construction safety helmet wearing monitoring method comprises the following steps: S100, detecting and outputting body skeleton postures of all individuals in an image according to a real-time multi-person posture estimation algorithm model OpenPose; S200, detecting a worker and a safety helmet in the image according to a deep learning target detection algorithm model YOLOv3, and using two types of rectangular frames for identification and output respectively; and S300, integrating the two algorithm models, and judging whether a worker wears the safety helmet or not in the figure according to the intersection surface ratio of the two types of rectangular frames and the comparison of the diagonal length of the rectangular frames of the safety helmet and the length from the center point of the face of the person to the center point of the safety helmet. The construction safety helmet wearing monitoring method can accurately judge whether the safety helmet is correctly worn or not, is clear in logic process and high in detection speed, and has important significance in guaranteeing effective wearing of the safety helmet on a construction site in real time and maintaining the life safety of constructors.

Description

technical field [0001] The invention belongs to the field of safe and civilized construction management of civil engineering and intelligent video monitoring, and in particular relates to a construction safety helmet wearing monitoring method based on computer vision human body posture estimation. Background technique [0002] Civil engineering construction requires a large number of people to participate, and the site environment is complex, which is a high-risk manufacturing process. In various construction engineering accidents, head and neck injuries are the most serious and even fatal. According to the statistics of the United States Safety Agency, 2,210 construction workers in the United States died of traumatic brain injuries from 2003 to 2010, accounting for the total number of deaths in construction accidents. twenty four%. From 2003 to 2017, the number of deaths in China's construction industry was 13,280, and the direct economic losses caused by construction safe...

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Problems solved by technology

[0004] The problem to be solved by the present invention is that the detection accuracy of the current video-based construction personnel safety helmet wearing detection method is low, the detection principle is relatively simple, and it is easy to fail under the actual complex construction site and human behavior. Therefore, a method based on Construction helmet wearing monitoring method based on computer vision human pose estimation

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