04/09/2026
Some consumer detection tools claim to identify hidden cameras, microphones or trackers through methods such as signal-strength readings, infrared lens detection and scanning for wifi or Bluetooth devices.
However, new research from UCL Computer Science found that many of these detection fail to adequately help users identify hidden surveillance devices, which can give domestic abuse victims a false sense of security.
Lead research author Akhil Polamarasetty and co-author Leonie Tanczer share more insights in The Guardian β‘οΈ https://www.theguardian.com/society/2026/aug/23/spying-device-detectors-may-give-domestic-abuse-victims-false-sense-of-security-study-finds?
Many tools fail to help victims find hidden cameras, microphones and trackers, leaving them at risk of ongoing surveillance