AI BASED IMAGING SYSTEM LETS YOU SEE HIDDEN OBJECTS AROUND CORNERS

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AI BASED IMAGING SYSTEM LETS YOU SEE HIDDEN OBJECTS AROUND CORNERS
AI BASED IMAGING SYSTEM LETS YOU SEE HIDDEN OBJECTS AROUND CORNERS

AI BASED IMAGING SYSTEM LETS YOU SEE HIDDEN OBJECTS AROUND CORNERS

AI BASED IMAGING SYSTEM LETS YOU SEE HIDDEN OBJECTS. Superman can see through walls, but I am not sure whether he can see things that are not in his line of vision – around the corners. But thanks to a new technology developed by a team of researchers from Princeton, Stanford, Southern Methodist, and Rice Universities, we might be able to do so.

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The team has proposed a new non-line-of-sight (NLoS) imaging system that uses lasers and deep learning to see objects around corners in real-time. The new imaging system uses a commercially available camera sensor and a laser source that is as powerful as the one found in a laser pointer. Bouncing off from the visible wall, the continuous-wave (CW) laser beam illuminates the hidden object, which then reflects it onto the wall. This creates an interference pattern on the wall known as a speckle pattern that encodes the shape of the hidden object. You can also read this article of Image Recognition Algorithm.

To reconstruct the hidden image from the speckle pattern, the team looked to AI. However, real-time imaging required short exposure times, which gave rise to too much noise, thereby restricting the applicability of the existing algorithms. The team, therefore, had to adopt deep learning for the optical reconstruction process.



This is not the first non-line-of-sight (NLoS) imaging system that researchers have proposed. In one of the studies, researchers from Intel Labs and Stanford University proposed the acoustic non-line-of-sight imaging that uses readily available, low-cost microphones and speakers to image and resolve 3D shapes hidden around corners.

Talking about how their system is different from the other approaches, Dr Metzler told Analytics India Magazine, “Ours improves upon the resolution and frame rates of existing systems. Traditional NLOS systems use time of flight information, which limits their resolution to about a cm. Ours uses interference patterns, which allow for much higher resolution.”

Real-World Applications

This research is part of the U.S. Defense Advanced Research Projects Agency’s (DARPA’s) Revolutionary Enhancement of Visibility by Exploiting Active Light-fields (REVEAL) program. This program deals with developing and fostering new technologies to image hidden objects around corners.

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“Non-line-of-sight imaging has important applications in medical imaging, navigation, robotics, and defence. Our work takes a step toward enabling its use in a variety of such applications,” said co-author Dr Felix Heide from Princeton University.

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