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AI-Based Helmet Violation Detection for Traffic Management System
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作者 Yahia Said YahyaAlassaf +5 位作者 Refka Ghodhbani yazan ahmad alsariera Taoufik Saidani Olfa Ben Rhaiem Mohamad Khaled Makhdoum Manel Hleili 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第10期733-749,共17页
Enhancing road safety globally is imperative,especially given the significant portion of traffic-related fatalities attributed to motorcycle accidents resulting from non-compliance with helmet regulations.Acknowledgin... Enhancing road safety globally is imperative,especially given the significant portion of traffic-related fatalities attributed to motorcycle accidents resulting from non-compliance with helmet regulations.Acknowledging the critical role of helmets in rider protection,this paper presents an innovative approach to helmet violation detection using deep learning methodologies.The primary innovation involves the adaptation of the PerspectiveNet architecture,transitioning from the original Res2Net to the more efficient EfficientNet v2 backbone,aimed at bolstering detection capabilities.Through rigorous optimization techniques and extensive experimentation utilizing the India driving dataset(IDD)for training and validation,the system demonstrates exceptional performance,achieving an impressive detection accuracy of 95.2%,surpassing existing benchmarks.Furthermore,the optimized PerspectiveNet model showcases reduced computational complexity,marking a significant stride in real-time helmet violation detection for enhanced traffic management and road safety measures. 展开更多
关键词 Non-helmet use detection traffic violation SAFETY deep learning optimized PerspectiveNet
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