Seriously, yikes. This is going to be very bad in the wrong hands. Cool concept though.

Researchers at the University of California, Santa Barbara, have developed a novel method for imaging objects beyond the line of sight, which they’ve named “Wiffract.” This technique leverages the interaction of Wi-Fi radio-frequency (RF) signals with the edges of objects that need to be imaged, guided by the principles of geometrical diffraction theory (GTD). With the appropriate mathematical model, Wiffract can produce remarkable outcomes, such as “reading” shapes and letters through walls.

The researchers explain that when an RF wave encounters an edge point, it generates a cone of outgoing rays known as a “Keller cone” in accordance with GTD. Wiffract’s mathematical model can capture the edges of stationary objects by utilizing GTD theory and the corresponding Keller cones. Once it identifies “high-confidence edge points,” Wiffract can reconstruct the shapes of objects while enhancing the resulting edge map further through advanced computer vision techniques.