基于卷积神经网络(CNN)的车辆碰撞检测与报警系统

Jayashree M, Rachana P, Ashin Kunjumon, Meena Thamban, Athul Roy
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引用次数: 0

摘要

如今,当事故发生时,人们害怕或在通知紧急服务时造成大混乱,或者事故被忽视,最终当紧急服务到达时为时已晚。利用已经到位和正常运行的闭路电视基础设施,开发了一个完整的系统,可以主动检测道路上的各种事故并提醒必要的人员,对于事故,最近的警察局,医院,一般救护车和事故车辆的注册人及其紧急联系人,对于肇事逃逸案件,被告车辆的车牌号可以提供给警方。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Convolutional Neural Networks (CNN)-based Vehicle Crash Detection and Alert System
Nowadays when a accident occurs people are afraid or create a major chaos while informing the emergency services, or a accident gets unnoticed and eventually when the emergency services arrive its too late. Using the already in-place and functioning CCTV infrastructure, a complete system has been developed to actively detect all kinds of accidents on the road and alert the necessary personal, for a accident the nearest police station, hospitals, general ambulances and the registrant of the vehicle in accident and their emergency contacts, for a hit and run case the vehicle number of the accused vehicle can be provided to the police.
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