Lane departure warning system by internet of things using matlab

This paper is concentrated on a particular type of accident, known as Run-Off-Road (ROR). An ROR crash occurs when a single vehicle departs the road, due to either driver inattention, drowsiness, or other incapacitation, and then collides with other vehicle,tree or house. This describes an video processing based system to help the driver in these situations and for automatic vehicle system. The Internet of Things (IoT) is the network of physical devices, vehicles, home appliances and other items embedded with electronics, software, sensors, actuators, and connectivity which enables these things to connect and exchange data, creating opportunities for more direct integration of the physical world into computer-based systems, resulting in efficiency improvements, economic benefits and reduced human intervention The algorithm proposed can work in both situation whether lane markings are present on road or not. If lane markings are present then algorithm takes each frames from the video file and process each frames. The system implements this algorithm using the following steps: 1) Detect lane markers in the current video frame. 2) Match the current lane markers with those detected in the previous video frame. 3) Find the left and right lane markers. 4) Issue a warning message if the vehicle moves across either of the lane markers. Chroma information use to detect and track road edges set in primarily residential settings where lane markings may not be present. The algorithm performs a search to define the left and right edges of a road by analyzing video images for change in color behaviour. MATLAB is for the simulation part and the proposed algorithm works accurately with various lighting conditions as well as on different road types.