Skip to main content
  1. Home
  2. Emerging Tech
  3. Photography
  4. News

DARPA wants a camera that can see around corners, and it’s coming soon

Add as a preferred source on Google

A camera that can see around corners and reveal hidden objects could be put to real-world use in as little as four years, according to the Morgridge Institute for Research. The technology was first developed at the Massachusetts Institute of Technology and demonstrated back in 2012. Apparently, it caught the interest of the U.S. Defense Department Advanced Research Projects Agency (DARPA), which just provided a $4.4 million grant to fast-track research and development of the camera.

Andreas Velten pioneered the technology at MIT, and now leads a team of researchers at Morgridge and the University of Wisconsin-Madison, where both institutions are working together to optimize it. The DARPA grant will allow them to explore the limitations of the technology and hopefully develop fully-functional hardware that can be used in the field. UW-Madison is one of eight universities to receive 2016 DAPRA grants to investigate different forms and applications of non-line-of-sight imaging.

Recommended Videos

The camera works by shining a rapid pulse of laser light into a room. When the laser hits a wall or ceiling, the light scatters, bouncing off of other surfaces and objects. Many photons eventually make it back to the camera, arriving at different times depending on how far they’ve traveled. The camera can then use that information to digitally reconstruct an image of the room, including any people that may be inside of it.

Recording the photons that bounce back requires highly specialized equipment, so don’t expect this technology to come to a cameraphone near you. The sensor must be extremely sensitive, especially if the camera is to be able to see around multiple walls, a goal the team is currently working toward.

“The more times you can bounce this light within a scene, the more possible data you can collect,” Velten said. “Since the first light is the strongest, and each proceeding bounce gets weaker and weaker, the sensor has to be sensitive enough to capture even a few photons of light.”

The DARPA grant will fund four years of research, with the first two dedicated to investigating the full potential of the technology. The second two years will be spent developing the hardware, making it viable for production and implementation.

Non-line-of-sight imaging has numerous applications, from search and rescue, to exploring shipwrecks, and potentially even mapping moon caves. It won’t, however, have any effect on standard photography. “We are interested in capturing exactly what a traditional camera doesn’t capture,” Velten said.

Daven Mathies
Daven is a contributing writer to the photography section. He has been with Digital Trends since 2016 and has been writing…
Google Flow Music Spaces is becoming an all-in-one AI music studio
The latest update brings song editing, stem splitting, image generation, lyrics, and video creation into a single workspace.
Google Flow Music Featured

The company has announced a major update for Flow Music Spaces, bringing a suite of new AI-powered creative tools directly into collaborative workspaces. Instead of jumping between different apps or sessions, users can now generate and edit songs, split audio stems, create images, write lyrics, and even generate videos without leaving a Space.

What's new in Flow Music Spaces?

Read more
A Florida pastor asked ChatGPT if he was okay. It nearly got him killed.
When "just relax and recover" turns out to be the worst medical advice you could get.
ChatGPT on iPhone

Scott Winters, a pastor from Florida, is suing OpenAI after ChatGPT allegedly gave him what his lawsuit calls "extremely dangerous" medical advice, advice that nearly cost him his life.

What happened to the pastor?

Read more
Scientists made robots curious like toddlers, and it helped them learn language twice as fast
Give a robot curiosity, and it starts learning language (and misbehaving) just like a toddler.
robots and kids photo

Scientists have been trying to figure out how kids pick up language so fast for decades, and a new study out of the Okinawa Institute of Science and Technology (OIST) might have cracked part of the puzzle: curiosity.

Researchers built a virtual robot with a brain-inspired neural network and set it loose in a simulated 3D world full of shapes, colors, and simple commands like "push left magenta dumbbell." 

Read more