RF-Capture can distinguish among up to 15 individuals from behind a wall with a surprising 90 percent accuracy rate.
The device was first conceptualized back in 2012 when Adib began contemplating how Wi-Fi could be used to see through walls. Although the device has been under development for some time, it hasn't been able to distinguish individuals until just recently.
The team plans to launch a startup in 2016 to commercialize on the technology, which would open up a huge realm of possibilities, from bolstering search and rescue operations such as firefighters looking for survivors to monitoring people at home who are at risk for falling and needing help.
Video Reveals Invisible Motion All Around Us
On a lighter note, the technology can also be used to inject special effects into Hollywood films, like enabling motion capture without body sensors and tracking actors' movements from behind objects or walls.
"The possibilities are vast," says Adib, whose other co-authors include MIT professor Frédo Durand, PhD student Chen-Yu Hsu, and undergraduate intern Hongzi Mao, according to MIT. "We're just at the beginning of thinking about the different ways to use these technologies."
The team's paper was accepted to the SIGGRAPH Asia conference taking place this month.