• Shruthi N
• Dr.Mary Charian

Driver drowsiness detection is a key technology that can prevent fatal car accidents caused by drowsy driving. Drowsiness or fatigue is a major cause of road accidents and has significant implications for road safety. Several deadly accidents can be prevented if the drowsy drivers are warned in time. A variety of drowsiness detection methods exist that monitor the drivers’ drowsiness state while driving and alarm the drivers if they are not concentrating on driving. The relevant features can be extracted from facial expressions such as eye closure, and head movements for inferring the level of drowsiness. The biological condition of the drivers’ body, as well as vehicle behavior, is analyzed for driver drowsiness detection. In this paper we have proposed to detect driver is drowsiness and its heartbeat is working properly or not

IOT, pulse sensor module

"DRIVER DROWSINESS DETECTION IN FACIAL IMAGES AND HEART ATTACK MONITORING SYSTEM BASED ON ECG SIGNAL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.1462-1466, August-2020, Available :http://www.jetir.org/papers/JETIR2008188.pdf

"DRIVER DROWSINESS DETECTION IN FACIAL IMAGES AND HEART ATTACK MONITORING SYSTEM BASED ON ECG SIGNAL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp1462-1466, August-2020, Available at : http://www.jetir.org/papers/JETIR2008188.pdf