Driver Drowsiness Detection Alert
Abstract & Details
Research Area
Computer Engineering
Keywords
Machine Learning
Drowsiness
Eye aspect ratio
Abstract
By implementing this approach, we aim to lower the number of accidents brought on by driver drowsiness and so raise traffic safety. Based on optical data and artificial intelligence, this technology handles the automatic detection of driving fatigue. In order to quantify PERCLOS (% of eye closure) with Softmax for neural transfer function, we identify, track, and evaluate both the driver face and eyes.it will be also uses alcohole pulse detection to check out the person is normal or abnormal. Due to extended driving times and boredom in crowded environments, driver weariness is one of the main factors in traffic accidents, especially for drivers of large vehicles (such as buses and heavy trucks).
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Kapil Gajanan Shitole | Suman Ramesh Tulsiani Technical Campus,Kamshet |
| 2 | Shantanu Manish Jagtap | Suman Ramesh Tulsiani Technical Campus,Kamshet |
| 3 | Shubham Sanjay Patil | Suman Ramesh Tulsiani Technical Campus,Kamshet |
| 4 | Randhir Shahaji Shinde | Suman Ramesh Tulsiani Technical Campus,Kamshet |
| 5 | Anjali M. Dalvi | Suman Ramesh Tulsiani Technical Campus,Kamshet |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Shitole, Kapil Gajanan, Jagtap, Shantanu Manish, Patil, Shubham Sanjay, Shinde, Randhir Shahaji, & Dalvi, Anjali M. (2023). Driver Drowsiness Detection Alert. International Journal of Advance Research and Innovative Ideas In Education, 9(1), 1275-1280.
MLA Style
Shitole, Kapil Gajanan, et al. "Driver Drowsiness Detection Alert." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 1, 2023, pp. 1275-1280.
IEEE Style
Kapil Gajanan Shitole, Shantanu Manish Jagtap, Shubham Sanjay Patil, Randhir Shahaji Shinde, and Anjali M. Dalvi, "Driver Drowsiness Detection Alert," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 1, pp. 1275-1280, 2023.
Vancouver Style
Shitole Kapil Gajanan, Jagtap Shantanu Manish, Patil Shubham Sanjay, Shinde Randhir Shahaji, Dalvi Anjali M.. Driver Drowsiness Detection Alert. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(1):1275-1280.
Harvard Style
Shitole, Kapil Gajanan, Jagtap, Shantanu Manish, Patil, Shubham Sanjay, Shinde, Randhir Shahaji, & Dalvi, Anjali M. (2023) 'Driver Drowsiness Detection Alert', International Journal of Advance Research and Innovative Ideas In Education, 9(1), pp. 1275-1280.
Chicago Style
Shitole, Kapil Gajanan, et al. "Driver Drowsiness Detection Alert." International Journal of Advance Research and Innovative Ideas In Education 9, no. 1 (2023): 1275-1280.
Turabian Style
Shitole, Kapil Gajanan, et al. "Driver Drowsiness Detection Alert." International Journal of Advance Research and Innovative Ideas In Education 9, no. 1 (2023): 1275-1280.
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