Driver fatigue and drowsiness sensing system

Driver sleepiness and exhaustion are two major factors contributing to road accidents. Every year, there are more fatalities and injuries throughout the world. The Advanced Driver Assistance System (ADAS) module is given in this paper. This device uses optical data and artificial intelligence to ide...

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Bibliographic Details
Main Authors: Maheshwari, Tanishq, Maheswari, K. M. Uma, Sudha, R.
Format: Conference Proceeding
Language:English
Subjects:
Advanced driver assistance systems
Algorithms
Artificial intelligence
Driver fatigue
Exhaustion
Sleepiness
Traffic accidents
Transportation safety
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Summary:Driver sleepiness and exhaustion are two major factors contributing to road accidents. Every year, there are more fatalities and injuries throughout the world. The Advanced Driver Assistance System (ADAS) module is given in this paper. This device uses optical data and artificial intelligence to identify driver drowsiness automatically, lowering the number of accidents brought on by fatigued drivers and improving transportation safety. We propose an algorithm to locate, track, and inspect the driver’s face and eyes to assess (PERcentage of CLOSure of Eyelid) PERCLOS, a legitimate sleepy indicator associated with slow eye closure.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0217135