
New anti-surveillance patterns render objects invisible to AI
After running 31 million simulations, Kansas City developer Bill Swearingen has created a set of computer-generated patterns that effectively blind automated surveillance systems. His project, noRecognition, scrambles the algorithms used by license plate readers and body-worn cameras, allowing people and vehicles to move through public spaces without triggering detection alerts.





















