Real Time Driver Fatigue Detection and Smart Rescue System

Now-a-days population has been increasing rapidly, which results in 6.5 Lakh of accidents every year and many are leading to death due to unavailability of medical services on time. This paper proposes an automatic real time driver fatigue detection system based on image processing technique along with cloud based management platform. The proposed system internally comprises Alert system and Rescue system using Raspberry pi. Alert system uses image processing techniques and detects the driver fatigue using Eye Aspect Ratio (EAR) which is precise and accurate in real time analysis and alert when driver detected as drowsy with an alert buzzer to get back to active state thereby avoiding occurrence of accidents to some extent. Even if an accident happen by any means then the employed vibration sensor detects it and the location details of the accident place are obtained from GPS Receiver Module. Simultaneously these details are made available in the form of map in Ubidots platform which is utilized by ambulance drivers' to monitor and to reach the location immediately and the same details are sent as notification message to victim's parents using IFTTT. A MSS app is used for internal communication of driver. In this way this system helps in declining death rate and also saves families not only lives.