利用人工智能检测交通违章行为,促进道路安全

Sanjid Bin Karim Sezan, Tisha Rahman, Kazi Tanvir, Nishat Tasnim, Al -Jobair Ibna Ataur
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引用次数: 0

摘要

由于混乱和拥挤的道路,孟加拉国面临着严重的交通规则违反问题,司机经常无视交通信号,在没有警告的情况下切换车道,以及超载车辆。行人安全也是一个问题,乱穿马路的现象很常见。非法停车、超速和鲁莽驾驶导致了频繁的交通事故,而且缺乏对交通规则的意识和一贯的执行。在这个具有挑战性的场景中,YOLOv5作为一个实用的解决方案脱颖而出。这就像有一个敏锐的交通官员,他可以迅速发现违反规则的行为,比如闯红灯或非法停车。YOLOv5的能力有助于更有效地执行交通规则,使道路对孟加拉国的每个人都更安全,道路安全是一个紧迫的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detecting Traffic Rule Violations and Promoting Road Safety through Artificial Intelligence
Bangladesh faces significant traffic rule violation problems due to chaotic and overcrowded roads, where drivers often ignore traffic signals, switch lanes without warning, and overload vehicles. Pedestrian safety is also a concern, with jaywalking being common. Illegal parking, speeding, and reckless driving contribute to frequent accidents, and there's a lack of awareness and consistent enforcement of traffic rules. In this challenging scenario, YOLOv5 stands out as a practical solution. It's like having a sharp traffic officer who can quickly spot rule violations like running red lights or illegal parking. YOLOv5's abilities help enforce traffic rules more effectively, making the roads safer for everyone in Bangladesh, where road safety is a pressing concern.
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