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PROJECT 05 / AI / CCTV / VIDEO ANALYTICS

Seeing what matters.

AI-Powered CCTV Surveillance and Video Analytics System.

Traffic scene screenshot shown under the AI CCTV project in the supplied portfolio document
TRAFFIC-SCENE FRAME INCLUDED UNDER THIS PROJECT IN YOUR PORTFOLIO DOCUMENT
ABOUT THE WORK / 05

From idea to implementation.

Developed an AI-powered CCTV surveillance system using Python, Flask, YOLO, and OpenCV. The project combines object detection and multi-object tracking with event detection and a web-based monitoring workflow.

Key features & contributions

  • Real-time object detection and multi-object tracking using YOLO and ByteTrack.
  • Restricted-zone intrusion detection, line-crossing detection, and loitering detection.
  • Event logging, evidence snapshot capture, and annotated video generation.
  • Web-based monitoring dashboard for video processing, event monitoring, and evidence management.
  • Browser-based sound alerts for HIGH and CRITICAL security events.
TECHNOLOGIES / TOOLS
PythonFlaskYOLOOpenCVByteTrackHTMLCSSJavaScript
VIEW GITHUB REPOSITORY ↗
AI
EVIDENCE / SOURCE ACCURACY

Real work. Clear context.

The supplied document places this traffic-scene image under the AI CCTV project. It is captioned as a source scene, not falsely presented as a screenshot of the dashboard or a confirmed model output. No hosted demo URL was supplied.

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