| Autor: |
Maheshwari, Tanishq, Maheswari, K. M. Uma, Sudha, R. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3075 Issue 1, p1-8, 8p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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