This project aims to develop a smart surveillance system that balances public safety and privacy by anonymizing individuals through face blurring. The system detects human faces in video streams and obscures identities while retaining useful surveillance information.
Study surveillance systems and associated privacy concerns.
Research computer vision techniques for face detection.
Design a real-time video processing pipeline.
Implement face detection algorithms for video frames.
Apply face blurring or masking techniques automatically.
Preserve non-sensitive visual information for monitoring.
Store processed video securely with access controls.
Test the system on recorded and live video feeds.
Measure processing speed and anonymization accuracy.
Evaluate privacy protection versus surveillance effectiveness.
Document ethical considerations and legal implications.
