IOT based Drowsiness Detection System for Road Safety

In the current situation, the vehicle utilization rate is expanding. Thus, the quantity of mishaps is additionally expanding. As per look into, most of the mishaps are because of driver's recklessness. Every year, among them all out number of deaths 1.24 million deaths happened because of the vehicle mishap. In India, the underlying drivers of these mishaps are because of the inebriated driver, drowsiness, and severely structured speed breakers. There is n006F viable system to forestall these main drivers. Our proposed framework gives a proficient, practical and constant answer for forestall vehicle mishap. In this paper, we proposed a framework that is completely non-meddlesome and constant. Our proposed framework utilized the eye conclusion proportion as info parameter to recognize the drowsiness of the driver. On the off chance that the eye conclusion proportion break down from the standard proportion, the driver is alerted with the assistance of a ringer. For our framework, a Pi camera is utilized to catch the pictures of the driver's eye and the whole framework is consolidated utilizing Raspberry-Pi. At long last sms alert send to the proprietor's Mobile.