Real-time-vision-accident-detection YOUSSEF-BT · COMPLETED
Hybrid AI system (YOLOv11n + BoT-SORT + Heuristic αβγ) for real-time road accident detection in surveillance footage, using Computer Vision and Deep Learning. Generates MP4 clips and CSV logs automatically. F1-score: 89.06% | Precision: 86.68% | Recall: 91.56% | 31.5 FPS. PFE - SUP MTI Rabat - NEXTRONIC.
github.com/YOUSSEF-BT/Real-time-vision-accident-detection · ★ 2 · Forks 0 · Size 99.2 MB
SUMMARY
Technologies 5
Scored 5
Observed 5
Practices 6
Evidence 6
Skips 0
COVERAGE
Analyzed 34 files · 26 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
2 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 58
2 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-07-09
Last commit 2026-07-09
Active months 1
Commits 26