Detecting a driver’s drowsiness has become one of the most effective ways of determining driver weariness. When a driver becomes asleep while driving, the car loses control which frequently leads to a collision with another vehicle or immovable things. Based on measures of vehicles, many indicators are constantly watched, to increase the likelihood of the driver to check he is not asleep. This research paper ties to highlight the issues of drowsiness in the drivers. This may induce drowsiness therefore it’s important to catch it early to avoid missing an important deadline. A Dlib open-source library and OpenCV do face recognition. Python is the software program used to execute the concept. For this research purpose, a camera is used to monitors the driver’s behavior, such as eye closure, yawning, movements of the eye, head position, and so on, and the driver is warned if any of these sleepiness indications are observed. The comparative analysis of the proposed Dlib open-source library and OpenCV is compared with the pre-existing algorithm for detecting the driver’s fatigue. The objective of this work is to create a Real-Time Driver Drowsiness Alert system. This technology monitors the driver’s eyes and sounds an alarm if the driver becomes tired.
Implementing OpenCV and Dlib Open-Source Library for Detection of Driver’s Fatigue
Lecture Notes on Data Engineering and Communications Technologies
2022-02-24
15 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Driver Fatigue Detection Using OpenCV and Dlib Library
IEEE | 2023
|A Real-Time Driver Drowsiness Detection Using OpenCV, DLib
Springer Verlag | 2022
|Driver Drowsiness Detection Using Open CV and DLIB
IEEE | 2023
|