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.

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