CCTV Tests Show AI Can Recover Partially Covered QR Codes
CCTV tests revealed that AI image tools can successfully restore partially mosaicked or poorly covered QR codes. However, thorough coverage of the core data area prevents successful restoration. This demonstration highlights potential security and privacy risks when users share screenshots of sensitive QR codes with light censorship. It emphasizes the need for proper obfuscation techniques to protect personal information. Experts noted that AI restoration relies on the core data area remaining unmasked. To truly secure a QR code, users should ensure that roughly 90% of the area is heavily covered.
## BACKGROUND
A QR code is a two-dimensional barcode consisting of black and white pixel patterns that store binary data, equipped with built-in positioning points and an error correction mechanism. The error correction mechanism allows devices to successfully read information even when parts of the code are damaged or obscured.