Construction site worker dressing detection method, system and device and storage medium

Abstract

The invention belongs to the technical field of construction site monitoring and protection, and discloses a construction site worker dressing detection method, system and device, and a storage medium. The method comprises the steps: receiving a real-time scene image collected at a construction site, carrying out the quality evaluation of the collected real-time scene image, carrying out the imagerestoration and enhancement of the real-time scene image with unqualified quality evaluation or at night, and obtaining a real-time scene image with qualified quality evaluation; performing real-timedetection of constructors and dresses of the constructors on the collected real-time scene images of the construction site after quality restoration, and marking the positions of the constructors onthe real-time scene images; transmitting the detected real-time scene image to mobile equipment, and carrying out alarm processing. The high safety management level of construction personnel is improved; once a constructor is found, dressing of the constructor is automatically recognized, safety threats faced by the constructor are analyzed, real-time intelligent analysis is carried out, WeChat ispushed to an operation and maintenance manager, and safety accidents can be greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of construction site monitoring and protection, and in particular relates to a method, system, device and storage medium for detecting clothing of construction site workers. Background technique [0002] At present, the closest existing technology: ensuring the safety of construction personnel is the first point in the construction process of the construction site. At present, all construction units strictly require construction and monitoring personnel to wear safety helmets and reflective vests during the construction process for the purpose of safety protection and rapid identification and rescue. At present, overhead transmission lines are mainly used for long-distance power transmission, which undertake huge power transmission. The safe operation of overhead transmission lines is closely related to the stability of the power grid. In recent years, with the rapid development of urban construction, constr...

AI Technical Summary

Problems solved by technology

[0004] (1) During the operation and maintenance process, the manual safety monitoring method for construction personnel on the construction site cannot achieve 24-hour safety monitoring, requires a lot of labor costs, cannot achieve the greatest degree of safety monitoring, and has poor real-time performance

[0005] (2) The existing AI monitoring device detects at night due to low reliability due to noise

[0006] (3) In the existing technology for helmet detection on construction sites, the helmets worn by workers may be partially covered by the power distribution equipment on the construction site, and the detection effect is poor.

[0009] (2) When developing a real-time detection device for construction workers on construction sites, they will encounter night scene detection. The current mainstream method is to add more noise to the model to enhance its robustness. However, the noise has certain randomness. It cannot completely solve the need for accurate detection at night

[0010] (3) When the safety helmet in the picture has problems such as occlusion and motion blur, serious missed detection will occur. How to take the occlusion into account when designing the loss function of the model is also a big challenge.

Images