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Automated AI Based Road Traffic Accident Alert System: YOLO Algorithm

机译:基于AI的自动化道路交通事故预警系统:YOLO算法

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Road Accidents, a very common reason of tragic deaths and many times the victim dies due to non-reporting of such accidents to the proper authority. Since the accident was not reported the lack of emergency medical care results in death. We live in an era of technology where we are moving towards making the city, A Smart City. A smart city with smart AI based traffic monitoring and reporting mechanism can help providing medical emergencies in real time and this would result in saving lots of life. Traditional Traffic systems are equipped with IP cameras and sensors, and are already installed in most part of the city to monitor and control traffic. These systems are able to generate traffic tickets automatically. In this paper we are proposing a more advanced traffic monitoring system which can identify and detect moving objects such are cars, bikes etc in live camera feeds and detect collision of these moving objects and immediately send emergency alerts to the nearby authority for them to take necessary actions.
机译:道路交通事故是造成悲剧性死亡的非常普遍的原因,很多时候,由于未将此类事故报告给适当的主管部门而使受害者死亡。由于没有报道事故,缺乏紧急医疗救助导致死亡。我们生活在一个技术时代,我们正在朝着打造智慧城市的方向迈进。具有基于智能AI的交通监控和报告机制的智能城市可以帮助实时提供医疗紧急情况,这将挽救许多生命。传统交通系统配备了IP摄像头和传感器,并且已经安装在城市的大部分地区,以监视和控制交通。这些系统能够自动生成交通罚单。在本文中,我们提出了一种更高级的交通监控系统,该系统可以识别和检测实时摄像头馈送中的汽车,自行车等运动物体,并检测这些运动物体的碰撞,并立即向附近的主管部门发送紧急警报,以使他们采取必要的行动动作。

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