A Case study on Automatic Smart Headlight System for Accident Avoidance

Abstract

The recent developments in the sensors and the IoT (Internet of Things) technologies are transforming many of the devices smart and to act independently or with minimum human intervention. The researchers are identifying many existing systems and trying to address the current problems in the functionalities or limitation of these existing devices. The researchers are also working to discover the technologies which are very expensive and not in the reach of the common man so that it would be possible to bring out the better solution for the ever-growing mankind with suitable affordability. The functionalities of IoT are not limited to a specific field and outweigh the other traditional methodologies; it is being used in many of the life saving applications in recent days including health care, emergency care, accident-aids and many more. The recent survey reveals that the accidents percentage is high between evening 6 to morning 6 compared to the day time. The top most reason for these accidents are temporary blindness of the drivers caused by the headlights of the opposite side vehicles. Another study shows that the accident chances are high during raining or foggy season than a normal day. To avoid these accidents, we are mainly depending on the fog lights. There are few technologies already existing with the luxury cars but these are highly expensive to be adopted in the economy cars.  This paper proposes the technology which can be used to make the headlight system to be smart to avoid many existing reasons for the night time or bad weather accidents on road. The researchers’ main objective is to design an economic Automatic Smart Headlight system which can be used by the automobile industry. The second main objective is to design the headlight system for the two and three wheelers also, which is not actually considered by many of the researchers or the automobile industries.