maniteja564/Vigilant-Drive-Monitoring-System-Using-Transfer-Learning
View on GitHub ↗Related repositories →Driver drowsiness detection is crucial for road safety. This study leverages transfer learning with pre-trained CNNs, fine-tuned to detect fatigue via facial features, eye movements, and head posture, improving accuracy and generalization in real-time. The approach offers a reliable, scalable solution to reduce accidents and save lives.
active 2024-09-27 → 2024-10-21 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 25 days from 2024-09-27 to 2024-10-21. Pushes: 9 total, peak 7 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| maniteja564 | 9 | 9 | 0 | 0 |
| lanbowan1 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.