Researchers from KAIST, in collaboration with the National University of Singapore (NUS) and Singapore Management University (SMU), have created a new device called SweepLED. This technology is a clip-on LED light grid that attaches to a smartphone and works with an AI-powered application to identify hidden cameras.
Existing methods for detecting hidden cameras using smartphones, such as flashlight scanning or infrared detection, often require manual effort and can miss small cameras. Other camera apps that analyze reflections are prone to false positives. The research team developed SweepLED to overcome these limitations by providing a more automated and accurate solution.
The SweepLED device consists of a $7 LED grid that magnetically attaches to the back of a smartphone. These LEDs continuously change direction, causing reflections on surfaces to move or disappear. Hidden cameras, due to their unique lens, aperture, and sensor structure, produce distinctive reflection patterns that the AI app can reliably detect. The system was tested on 30 items, some with embedded hidden cameras, achieving a 93.9% detection accuracy.
The proliferation of hidden cameras in private spaces like restrooms, changing rooms, and rental accommodations has become a concern globally, particularly in East Asia. SweepLED offers individuals a faster, more reliable, and easier-to-use tool to protect themselves against voyeurism compared to manual inspection methods.
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Researchers from KAIST, NUS, and SMU have developed SweepLED, a $7 smartphone clip-on with an AI app that detects hidden cameras with 93.9% accuracy. This technology offers a more reliable and easier method for individuals to identify hidden cameras compared to existing manual or app-based solutions.