Year: 2025
Type: article
Abstract: ABSTRACT: In the present world, lots of road accidents take place due to the lack of attention and alertness of driver. Large number of them occur also due to driver’s drowsiness. This leads to a lot of unfortunate situations and accidents causing adverse damage to human lives. The main goal of this system is detection of driver drowsiness and an appropriate response to the detection. The idea is to detect whether the driver is sleepy or fatigued using the video and providing an alert message. The driver’s facial expressions will be captured using a webcam. Every movement in each frame is detected using few techniques of image processing. The behavioral patterns of the driver can be analyzed for patterns over time to identify early signs of drowsiness. This could include changes in driving style, such as erratic lane changes or inconsistent speed. Personalized recommendations can also be provided for drivers based on their behavior patterns and drowsiness history. This can include suggestions for rest breaks or changes in driving habits. This can result in reducing the number of accidents happening due to driver’s drowsiness.
DOI: 10.55041/ijsrem45760
Author: Bency George
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4409816700