Blind Spot Monitoring System Using Ultrasonic Sensor

Ajay Kumar, J. Jaiswal, Naman Tiwari
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Abstract

Blind spot is the region that is not visible to the driver while driving car via side or rear mirrors. The blind spot is usually located at the rear of the vehicle, but may also be found on both sides. It is caused due to obstruction from other vehicles, objects or pedestrians. Other names for blind areas include "blind zones," "fatal zones," and "dead spots.". This blind spot can be dangerous for drivers, especially when they are driving at night or in bad weather conditions. When drivers neglect to examine their blind areas before changing lanes or making a right turn, this can result in accidents and injuries. Our proposed model will be able to identify the objects that lies in the vehicle's blind spot area using an Arduino and an ultrasonic sensor. The use of a BSMS while driving can help you stay safe. It can be installed on the car’s rear fender and if there are any objects in the vicinity of the model then an alarm will be generated and the driver will have enough time to react before he gets into an accident We have suggested the idea of implementing machine learning algorithms for better accuracy and reliability.
基于超声波传感器的盲点监测系统
盲点是驾驶员在驾驶汽车时通过侧镜或后视镜看不到的区域。盲点通常位于车辆后部,但也可能位于车辆两侧。这是由于其他车辆、物体或行人的阻碍造成的。盲区的其他名称包括“盲区”、“致命区”和“死点”。这个盲点对司机来说是危险的,尤其是当他们在夜间或恶劣天气下开车的时候。当司机在变道或右转前忽视检查盲区时,这可能会导致事故和伤害。我们提出的模型将能够使用Arduino和超声波传感器识别位于车辆盲点区域的物体。开车时使用BSMS可以帮助你保持安全。它可以安装在汽车的后挡泥板上,如果模型附近有任何物体,就会发出警报,驾驶员将有足够的时间在发生事故之前做出反应。我们已经提出了实现机器学习算法的想法,以提高准确性和可靠性。
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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