Arm Based an Real Time Implementation Based on Transportation Systems

The main idea behind this project is to develop a system which can detect drowsiness of the driver and giving an indication in the form of alarm. Since a large number of road accidents occur due to the driver drowsiness, here we are proposing a new transportation system which will reduce the accidents. This system will monitor the driver’s eyes using camera and face detection which is very important system in human life for transportation purpose.. So this project will be helpful in detecting driver drowsiness before itself which will save the life of the driver. This paper presents a real-time driver fatigue detection system for driving safety. Based on skin colors, the driver’s face is located from a color video captured in a car. Then, edge detection is employed to locate the regions of the driver’s eyes, which are used as the templates for eye tracking in subsequent frames. Finally, the tracked eyes’ images are used for fatigue detection in order to generate warning alarms for driving safety. Keyword: Intelligent Transportation System, Driver Fatigue Detection, Eye Detection, Face Detection, Template Matching