Turning light noise into a detection mechanism
Noise-coded illumination hides invisible video watermarks inside light patterns for tampering detection
The system stays effective across varied lighting, compression levels, and camera motion conditions
Forgers must replicate multiple matching code videos to bypass detection successfully
Cornell University researchers have developed a new method to detect manipulated or AI-generated video by embedding coded signals into light sources.
The technique, known as noise-coded illumination, hides information within seemingly random light fluctuations.
Each embedded watermark carries a low-fidelity, time-stamped version of the original scene under slightly altered lighting – and when tampering occurs, the manipulated areas fail to match these coded versions, revealing evidence of alteration.Using illumination patterns as a forensic tool
The system works through software for computer displays or by attaching a small chip to standard lamps.
