A Drowsy Driver Detection and security system

This paper presents a new approach towards automobile safety and security. We propose three distinct but closely related concepts viz. an Iris Recognition system, a Drowsy Driver Detection system and a Distress Signalling system using non-intrusive machine vision based concepts. In recent time´s automobile theft and fatigue related crashes have really magnified. In order to minimize these issues, we have incorporated Biometric security through Iris recognition that will help in authentication and an improved sleep detection and driver alert system by monitoring both the driver´s eyes as well as senseing the heat variation of the body via infrared thermal sensor. Distress Signalling system is incorporated for drivers to get assistance from the Police in need without revealing it to people present around him. This paper combines computer vision, pattern recognition and optics. All image processing was performed using NI Vision Assistant. Also NI LabVIEW was used to take the current body temperature from the temperature sensors attached to the DAQ (Data Acquisition) Signal Accessory.