IR Sensor Based Accident Prevention System for Hilly Areas

Jay Singh, Priyanka Datta, Nagendra Kumar, Kailash Sharma, Abhinav Saxena, A.M. Gupta, A. Ambikapathy
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Abstract

This paper provide overview of the model which describe how to minimize the road accident on the curve roads by proposing a model which uses IR sensors as sensing elements for the vehicles coming from either side of the road IR sensor is connected with Arduino Uno software to alert drivers about the vehicles coming from either side of the road also Author have used 16* 2 counter to count the vehicles at the turning points to enhance the accuracy at the mountain roads the Arduino sense the signal from the IR sensors which commands the buzzer to start alarming the driver along with RGB LED present on either side of the road we have also use the LDR sensors for a street lighting system at the curve point which get activated at night automatically, in this paper for the energy-generating process we have used piezoelectric sensors in the speed breakers on both the sides through which energy is stored and utilized.
基于红外传感器的丘陵地区事故预防系统
本文提供的模型,描述如何最小化曲线道路上的交通事故提出了一个模型,使用红外传感器作为传感元素来自路的两边的车辆红外传感器与Arduino Uno软件提醒司机对车辆来自道路的两侧还作者用16 * 2计数器计算车辆在转折点提高准确性山路Arduino的信号从红外传感器命令蜂鸣器开始向驾驶员发出警报,以及道路两侧的RGB LED,我们还将LDR传感器用于街道照明系统的曲线点,该系统在夜间自动激活,在本文中,我们在两侧的减速机中使用了压电传感器,通过该传感器存储和利用能量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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