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ATTENTION ASSIST AND DRIVER DETECTION SYSTEM

Ritik Mittal, Rishabh Pal, Rachit Jain , Vijay Kumar , Megha Sharma

Department of Computer Science  &

Engineering

Meerut Institute of Engineering and

Technology, Meerut

ABSTRACT

Motorist’s lack off attention is one in every of the leading reasons for road accidents that result in bereavement. Hence cause of motorist’s exhaustion and its indication is a very important analysis space. The present strategies area unit either automobile based mostly, or behavioural based mostly or physical based and a few of those strategies area unit indiscreet and distract the driving force, some of them need costly sensors and knowledge handling. In this paper we tend to propose a less expensive various, wherever a digital camera accounts the videography, motorist’s fascial benchmarks is identified in each frame using image process technique. Driver's attention is analysed after the attention ratio is computed and bets on the values of the facial benchmark on the distinctive facial area unit jagged.

KEYWORDS

Dlib, OpenCV, Computer Vision, Eye Aspect Ratio, Detection, Driver, Facial Landmarks, Face Detector, Face Predictor