An iOS app designed to detect nearby smart glasses has climbed into the top three paid downloads on Apple’s App Store [1, 2].
The rise of the Antizuck Smart Glasses Scanner reflects growing public anxiety over wearable cameras and the erosion of privacy in public spaces. As AI-enabled glasses become more common, users are seeking ways to identify when they are being recorded without their knowledge [2, 3].
Developed by Albert Pariente Cohen, the application costs $2.99 [2]. It functions by scanning for nearby Bluetooth signals that match the profiles of Meta and other smart glasses [3]. By identifying these specific wireless signatures, the app alerts the user to the presence of recording-capable hardware in their immediate vicinity [1, 3].
The app's sudden popularity on July 31 follows a trend of "camera anxiety" linked to the proliferation of Meta's AI-enabled wearables [2, 3]. While the devices are marketed as helpful assistants, the ability to record discreetly has created a market for detection tools [2].
Because the app relies on Bluetooth signals, its effectiveness depends on the glasses being in a discoverable state or maintaining an active connection [3]. Despite these technical limitations, the high ranking suggests a significant consumer demand for privacy-preserving technology on the iPhone platform [1, 2].
“The app functions by scanning for nearby Bluetooth signals that match the profiles of Meta and other smart glasses.”
The success of the Antizuck app signals a shift in the privacy landscape where consumers no longer trust visual cues to determine if they are being recorded. As wearable AI hardware integrates more deeply into social interactions, the emergence of 'counter-surveillance' apps creates a new technical arms race between device manufacturers and privacy-conscious users.
