Cameras are getting smaller and smaller, and that’s not good news in certain cases. That allows spy cameras are much more difficult to detect, becoming invisible to the human eye. A good example of this are the appliances that are sold to detect them on Airbnb.
Under this premise, several researchers from the National University of Singapore and Yonsei University They have worked on a system to detect these cameras through ToF sensors (Time of Flight) present on our mobiles.
The trick is in the reflections
The same managers indicate that there are already certain systems that detect the presence of hidden cameras, no matter how small, such as the analysis of the traffic they generate through Wi-Fi networks. But those methods only indicate the existence of the cameras and not your location.
The proposed system is called LAPD (Laser-Assisted Photography Detection), and uses lasers from ToF sensors to locate reflections from camera lenses (those lenses return the laser at higher intensity). Since these lasers are designed to detect depths and help generate graphics in augmented reality environments, all that would be required is an application and a mapping algorithm. machine learning.
In the application, we would focus on the corners of a room in which we suspect that there is a hidden camera, and an augmented reality interface would indicate where it is. No special equipment or device would be required, as with other methods. With a smartphone modern and its ToF sensors would suffice.
While searching with the naked eye detects an average of 46% of hidden cameras, the LAPD method has achieved detect 88.9% in the tests they have performed. Bad news for those who place hidden cameras in certain places, of course.
Image | Olloweb Agency
Source: Xataka by www.xataka.com.
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