Real-Time Drowsiness Monitoring System for Safer Driving
Abstract & Details
Research Area
ISE
Keywords
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Abstract
In order to prevent traffic accidents, the review paper "Real-Time Driver Depression Monitoring for Accident Prevention in Smart Vehicles" focuses on the creation of a system that can identify driver depression in real time. This method looks for indicators of depression in drivers by employing facial expression recognition technology that has been improved by transfer learning using the VGG-16 model. The algorithm uses face analysis to identify behavioral signs of depression by using a library of photos showing drivers in both normal and sad conditions.
In order to lessen the possibility of accidents brought on by intoxicated driving, the system safely transfers control of the car from the driver to the automated driving systems when it detects depressive symptoms. With a 96% accuracy rate, 98% precision rate, 97% recall rate, and 97% F1-score, the model demonstrated its ability to improve road safety in smart car applications.
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Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Dr .Pradeep v | Alvas’s institute of engineering and Technology |
| 2 | Krupashree R | Alvas’s institute of engineering and Technology |
| 3 | Anirudh Kamath k | Alvas’s institute of engineering and Technology |
| 4 | Sarthak k Jain | Alvas’s institute of engineering and Technology |
| 5 | Chaitra s Koddaddi | Alvas’s institute of engineering and Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
v, Dr .Pradeep, R, Krupashree, k, Anirudh Kamath, Jain, Sarthak k, & Koddaddi, Chaitra s (2024). Real-Time Drowsiness Monitoring System for Safer Driving. International Journal of Advance Research and Innovative Ideas In Education, 10(6), 2061-2064.
MLA Style
v, Dr .Pradeep, et al. "Real-Time Drowsiness Monitoring System for Safer Driving." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 6, 2024, pp. 2061-2064.
IEEE Style
Dr .Pradeep v, Krupashree R, Anirudh Kamath k, Sarthak k Jain, and Chaitra s Koddaddi, "Real-Time Drowsiness Monitoring System for Safer Driving," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 6, pp. 2061-2064, 2024.
Vancouver Style
v Dr .Pradeep, R Krupashree, k Anirudh Kamath, Jain Sarthak k, Koddaddi Chaitra s. Real-Time Drowsiness Monitoring System for Safer Driving. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(6):2061-2064.
Harvard Style
v, Dr .Pradeep, R, Krupashree, k, Anirudh Kamath, Jain, Sarthak k, & Koddaddi, Chaitra s (2024) 'Real-Time Drowsiness Monitoring System for Safer Driving', International Journal of Advance Research and Innovative Ideas In Education, 10(6), pp. 2061-2064.
Chicago Style
v, Dr .Pradeep, et al. "Real-Time Drowsiness Monitoring System for Safer Driving." International Journal of Advance Research and Innovative Ideas In Education 10, no. 6 (2024): 2061-2064.
Turabian Style
v, Dr .Pradeep, et al. "Real-Time Drowsiness Monitoring System for Safer Driving." International Journal of Advance Research and Innovative Ideas In Education 10, no. 6 (2024): 2061-2064.
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