Construction site safety helmet wearing detection system and method
The technology of a detection system and detection method is applied in the direction of closed-circuit television system, parts of TV system, parts of color TV, etc., which can solve problems such as easy misidentification, poor recognition effect, and many helmet data requirements, and achieve Reduce network costs and requirements, improve functional scalability, and improve communication efficiency
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Embodiment 1
[0057] This solution automatically detects whether the construction site personnel wear helmets through the computer system, and triggers an alarm and records relevant information for violations without helmets.
[0058] Such as figure 1 As shown, this scheme is equipped with a safety helmet wearing detection system on the construction site, including a video device and a detection system. The video device is a camera, and several cameras can be set up according to needs, and are installed at the entrance and at the worker's work place on the construction site. The detection system is the background system, the detection system includes a video stream access module arranged sequentially, which can adapt the video stream to be accessed, and has better functional scalability and wider adaptability to video equipment; the image acquisition module is in front of the front end Set the machine to detect the outline and position of the moving object, and locate and mark the video fra...
Embodiment 2
[0060] Such as figure 2 , 3 , Shown in 4, based on the system of above-mentioned embodiment 1, safety helmet wearing detection method, the steps are as follows:
[0061] A. Collect video surveillance images, and manually mark the image content and format required for detection and recognition. Manual marking must indicate that there is a head area wearing a helmet in the video picture, etc., and mark the color and type of safety helmet according to the requirements, and establish Detection and recognition model; here, the video stream can be obtained by accessing a camera or a stored video file. Here, artificially labeled pictures are used to train a deep learning SSD detection and recognition model. The detection tasks of the SSD detection and recognition model include proposal layer, regression task, and classification In the regression task, a proposal corresponds to four outputs. The classification task needs to classify each proposal. The proposal layer includes N propo...
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