• Vipinkumar Vishwakarma
• Nargis Shaikh
• Shaikh Irfan
• Sameeruddin Salmani

Driver sleepiness is a major issue while driving alone or on long roads.Feeling sleepy while driving can cause major road accidents. However, if a driver or a person drives on a long road or a highway for a long time then there is a chance that the driver will get bored or may fall asleep . So to prevent any road accident, driver drowsy detection is a necessary procedure. Aim of our project to implement a technique that can automatically detect drowsiness and can give instant alert using buzzer/speaker or some other output devices. Since drowsiness is a natural activity of human behaviour and that can happen due to different factors such as if a person is tired or in night time generally people feel drowsy. Hence it is required to develop a system that can detect all such cases and give alert to the driver/person.In this project we develop a technique in which video streamed Processing is analyzed by eye blink concept through an Eye Aspect Ratio and Euclidean distance of eyes. Face landmark algorithm is also used for detection of the eye. First the program will collect the image of the driver/person and verify whether the driver is feeling drowsy or fatigue either in the day or night. For input we will use a camera to take live video of the driver then this will be verified using a program to alert the driver by a loud alarm (buzzer/speaker/audio device) which is present in the same system. The report proposed the results and solutions on the limited implementation of the various techniques that are introduced in the project. Whereas the implementation of the project give the real world idea of how the system works and what changes can be done in order to improve the utility of the overall system. Furthermore, the paper states the overview of the observations made by the authors in order to help further optimization in the mentioned field to achieve the utility at a better efficiency for a safer road.

Drowsiness,OpenCv, Python, Dlib

"Driver Sleep Alert System Using Face Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.g190-g195, April-2022, Available :http://www.jetir.org/papers/JETIR2204629.pdf

"Driver Sleep Alert System Using Face Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppg190-g195, April-2022, Available at : http://www.jetir.org/papers/JETIR2204629.pdf