首页|Study Findings on Machine Learning Discussed by Researchers at Shandong University of Science and Technology (DS-YOLOv5: A real-time detection and recognition model for helmet wearing)
Study Findings on Machine Learning Discussed by Researchers at Shandong University of Science and Technology (DS-YOLOv5: A real-time detection and recognition model for helmet wearing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligence have been presented. According to news reporting out of Qingdao, People’s Republic of China, by NewsRx editors, research stated, “Automatic detection and rec0gnition of safety helmet wearing based on video analysis is important to ensure production safety. It is inefficient to supervise whether workers wear safety helmets by manual means. With the advancement of deep learning, using computer vision to assist in the detection of safety helmet-wearing holds significant research and application value.”
Shandong University of Science and TechnologyQingdaoPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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