🚨Computer-Generated Patterns Block Surveillance Cameras
Cameras can't detect what these patterns cover
TL;DR
Bill Swearingen's noRecognition project uses computer-generated patterns to block surveillance cameras from detecting objects or people. After over a year of testing, the patterns are now effective in real-world scenarios.
Computer-generated patterns can now make people and vehicles invisible to surveillance cameras. Bill Swearingen’s noRecognition project has spent over a year running 31 million tests to create patterns that scramble detection algorithms without blocking video footage. This means law enforcement and security systems won't trigger alerts for covered objects or individuals, making them harder to track. The patterns are updated every minute, each batch improving on the last.
Key Points
noRecognition ran over 31 million tests in its development phase
Patterns scramble detection algorithms, not video footage itself
First real-world test at Def Con made a Toyota Yaris undetectable
Project aims for patterns to be high-quality from a distance
Strongest patterns kept off the internet to prevent defeat
Why It Matters
If you're concerned about privacy in public spaces, noRecognition's patterns could offer a new layer of protection. However, this tech raises ethical questions and may face legal challenges.
Frequently Asked Questions
Why does this matter?
If you're concerned about privacy in public spaces, noRecognition's patterns could offer a new layer of protection. However, this tech raises ethical questions and may face legal challenges.
What happened?
Bill Swearingen's noRecognition project uses computer-generated patterns to block surveillance cameras from detecting objects or people. After over a year of testing, the patterns are now effective in real-world scenarios.
Comments
Be the first to comment
Enjoyed this article?
Get it daily. 7am. Free. Reads in 5 minutes.
Join 2,813 builders reading daily.