area-sensing-yolov8n rsamwilson2323-cloud · COMPLETED
Area Sensing YOLOv8n is a real-time computer vision project that detects objects inside a defined region using the lightweight YOLOv8n model. Built with Python, OpenCV, and Ultralytics, it processes live camera feeds to monitor restricted zones, trigger alerts, and visualize detections for smart surveillance and automation systems.
github.com/rsamwilson2323-cloud/area-sensing-yolov8n · ★ 5 · Forks 0 · Size 5.7 MB
SUMMARY
Technologies 3
Scored 3
Observed 3
Practices 6
Evidence 3
Skips 0
COVERAGE
Analyzed 4 files · 4 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
1 files · PRODUCTION
NumPy LIBRARY Depth 54
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-03-14
Last commit 2026-03-14
Active months 1
Commits 4