面向事故规避的智能头盔设计

A. Jesudoss, R. Vybhavi, B. Anusha
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引用次数: 37

摘要

道路交通事故日益增加,因为骑手不戴头盔和由于饮酒。在当今世界,大量的人死于交通事故。通过使用智能头盔,可以检测到事故。该项目的主要目标是设计一种能够避免事故和检测酒精的智能头盔。红外传感器检查这个人是否戴着头盔。气体传感器可以识别骑手呼吸中的酒精物质。如果这个人不戴头盔,如果他喝酒,自行车将无法启动。如果没有酒精物质的迹象,并使用头盔,那么只有自行车将启动。当骑手遇到事故时,传感器会识别摩托车的状况并报告事故。然后,自行车上的GPS会将事故地点的位置发送到附近医院的主服务器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Smart Helmet for Accident Avoidance
Road accidents are increasing day by day because the riders are not using the helmet and due to consumption of alcohol. In today’s world, huge numbers of people are dying on road accidents. By using smart helmet, the accidents can be detected. The main target of the project is designing a smart helmet for accident avoidance and alcohol detection. The IR sensor checks if the person is wearing the helmet or not. The Gas sensor recognizes the alcoholic substance in the rider’s breath. If the person is not wearing the helmet and if he consumes alcohol, the bike will not start. If there is no sign of alcoholic substance present and helmet is used, then only the bike will start. At the point when the rider met with an accident, the sensor recognizes the condition of the motorbike and reports the accident. Then the GPS in the bike will send the location of the accident place to main server of the nearby hospitals.
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