The means for equipping everyday objects with a bat-like sense of their surroundings has been developed by scientists at the U.K.'s University of Glasgow.
They used a machine learning algorithm to produce images via reflected echoes, by measuring the time it takes for sound blips emitted by speakers or radio waves pulsed from antennas to bounce within an indoor environment and return to the sensor.
The program can infer the shape, size, and layout of a room, and identify the presence of objects or people, with the results displayed as a video feed that renders the echo data into three-dimensional vision.
The researchers said the technique could be used to generate images through potentially any devices outfitted with microphones and speakers, or radio antennae.
From University of Glasgow (U.K.)
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