首页|Researchers at China Jiliang University Target Intelligence Technology (Construc tion Personnel Dress Code Detection Based On Yolo Framework)

Researchers at China Jiliang University Target Intelligence Technology (Construc tion Personnel Dress Code Detection Based On Yolo Framework)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing - Intelligence Technology have beenpublished. According to news reporting o riginating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “It is important for construction personnel to observe the dress code, such as the correct wearing of safety helmets and reflective vests is co nducive to protecting theworkers’ lives and safety of construction. A YOLO netw ork-based detection algorithm is proposed for theconstruction personnel dress c ode (YOLO-CPDC).”

HangzhouPeople’s Republic of ChinaAs iaIntelligence TechnologyMachine LearningChina Jiliang University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.11)