Design and Integration of Lane Departure Warning, Adaptive Headlight and Wiper system for Automobile Safety

The number of road accidents is increasing every year due to increases in vehicle and driver negligence, and it leads to a serious issue in front of modern society. Unintended lane departure and rear end collisions are some of the main reason behind road accidents in the freeway. However, it is now possible to prevent this problem to some extent, by using Advance driver assistant system (ADAS). This paper presents a Design and integration of lane departure warning, adaptive headlight and wiper system which works on different road and illumination conditions. The system uses a raspberry pi for video processing and arduino Mega is used as processing unit for AHAWS. The algorithm of LDWS takes video input frame by frame, filters the frame detects edges using canny edge detection, the lane detection decision is done by Hough transform using OpenCV python software. Based on the position of the car inside the detected lanes the warning is raised. The AHAWS algorithm takes three inputs road curvature which is given by LDWS in case of integrated system, surrounding light intensity and rain intensity based on the input the headlight will turn along with curve, the headlight intensity is adjusted according to surrounding light and wiper frequency is set according to rain intensity. The experimental results States that the AHWAS responds quickly to change in input, the average lane detection rate and the departure warning rate are 99.8% and 92.1%, respectively. With a $720\times 1280$ resolution, the average processing speed is 22.2 fp/s.