A security researcher has spent the past year developing an algorithm that can create computer-generated patterns capable of hiding people, faces, and vehicles from detection by surveillance cameras. The researcher, Bill Swearingen, has successfully demonstrated the pattern printed on a vehicle, proving that these patterns can be effective at defeating surveillance detection in the real world.
Surveillance Camera Pattern Blocks Detection
UKPulse News DeskA security researcher has designed an algorithm that creates computer-generated patterns capable of hiding people, faces, and vehicles from detection by surveillance cameras.
- 31 million tests later, a security researcher can produce patterns on-demand that prevent some surveillance cameras from detecting people, faces, and vehicles.
- The patterns do not block surveillance cameras from recording video footage, but instead scramble the camera's ability to identify objects, people, or faces.
- The researcher's project, noRecognition, aims to allow people to opt-out of being tracked by surveillance cameras.
Why this matters: The development of this technology could allow people to exercise their constitutional rights to free expression without being tracked by surveillance cameras.
What this means for you: If you value your privacy, you may be interested in using the patterns developed by the noRecognition project to avoid being tracked by surveillance cameras.