Discover the groundbreaking technology that enables Wi-Fi signals to identify shapes through solid walls.
Previously, technology has had difficulty in visualizing stationary objects. This new innovation, designed by researchers from the University of California Santa Barbara, aims to overcome these struggles. They've developed a Wi-Fi setup that concentrates specifically on the edges of an object, which notably advances the possibilities for object recognition.
A Unique Approach: The Geometrical Theory of Diffraction
This innovative setup employs the Geometrical Theory of Diffraction. Essentially, this theory outlines how waves behave when they encounter the edges of an object. In the case of Wi-Fi waves, they form unique shapes, known as Keller cones, as they diffract around these object edges.
Interpreting the Scene
Interpreting the composition and direction of these Keller cones can reveal a scene. Essentially, these cones create a map of the shapes they interact with. This innovative setup, dubbed Wiffract, involves three Wi-Fi transmitters and a roving receiver which collects this data.
Complex Mathematics and Bayesian Information Propagation
Complex mathematical calculations are applied to determine the shapes corresponding with the Keller cones. High-confidence edge points are key in this process. These points enhance the system's ability to detect weaker, more distant edges. A method called Bayesian information propagation is also utilised, functioning in a similar way to solving a jigsaw puzzle.
Current System Status and Future Potential
The system is still undergoing fine-tuning. Despite this, it's already capable of recognizing large letters. Looking forward, potential applications could range from disaster rescue to smart home monitoring, opening up a wide scope of possibilities.
Unveiling the Development
The details of this study have been presented at the Proceedings of the 2023 IEEE National Conference on Radar. It should be acknowledged, it has not yet undergone peer-review. This means that other experts in the field have not yet evaluated the work.