IRIS SCAN BASED EMERGENCY SYSTEM

ABSTRACT This project presents a method of real time detection of the human face. It outlines a novel approach for the real-time detection of car driver drowsiness. There are number of accidents which take place due it the fatigue and alcohol drinking of driver. Computer scanner and eye detection application is combined to an embedded system to achieve this goal. Real time faces as well as eyes detection is performed using Haar-feature based cascade classifier and shape predictor 68 face landmarks. The proposed system is realized with laptop camera embedded with Python-IDLE and OpenCV installed. Keywords: Human face, Drowsiness, Embedded System, Python-IDLE