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

Camera lets researchers track an object around a corner in real time

Add as a preferred source on Google

A new camera developed by Heriot-Watt University in Edinburgh, Scotland does the impossible — it can see around a corner and track a hidden object in real time. “This could be incredibly helpful for [computer assisted] vehicles to avoid collisions around sharp turns . . . or for emergency responders looking around blind corners in dangerous situations,” said co-lead researcher Genevieve Gariepy, who recently shared details about the new camera technology in the journal Nature Photonics.

The camera uses the established technique of echo mapping to locate objects around a blind corner. Echo mapping is used already by other cameras to paint a 3D view of a room, but the speed at which Gariepy’s camera can make its measurements is what sets it apart from similar, existing technology. The system developed by Gariepy employs a precise laser and an advanced camera module so sensitive that it can track individual photons of light. Created by researchers at the University of Edinburgh, the camera not only is super sensitive, it also is fast, allowing the system to detect and track hidden objects in near real-time.

Recommended Videos

It achieves this goal by releasing short laser pulses that are aimed at the floor just in front of a wall. The light then bounces off the floor, hits the wall and radiates across the room. As the light encounters an object in the room, it bounces back to the camera, which is sensitive enough to detect these returning echoes. The laser fires up to 67 million times per second providing a wealth of data for the camera to process. Using information about how the laser light bounces and the characteristic of the echo it returns, the camera can calculate both the size and position of an object. It also is designed to make a new measurement every three seconds allowing it to detect and track movement of the object with near real-time precision.

In laboratory testing, Gariepy and her team were able to detect a one-foot tall human figure that was placed around a corner. It even worked when the object was located around a hairpin turn. When estimating the size of an object, the camera system was able to make a prediction that was within a 20-percent margin of error.

The team also was able to detect and track multiple objects at the same time. Though already impressive, Gariepy hopes to improve the technology by developing an even faster and more sensitive camera. The team also is experimenting with filters to try to isolate and measure just the specific wavelength emitted by the laser.

Kelly Hodgkins
Kelly's been writing online for ten years, working at Gizmodo, TUAW, and BGR among others. Living near the White Mountains of…
Google’s new AI gives robots better balance, smarter hands, and teamwork capabilities
Google just made robots a lot less clumsy and a lot more helpful.
Gemini robotics 2.0

Google DeepMind just brought sci-fi robots closer to reality, and it is very exciting. Building on its original Gemini Robotics model, the company has introduced Gemini Robotics 2, an AI system designed to help robots think, move, and even work together. Unlike most robots today, which rely on pre-programmed routines or someone controlling them remotely, this new system lets robots figure things out on their own when situations get unpredictable.

Can robots finally handle whole-body tasks?

Read more
Remember Samsung’s Ballie home robot? It may finally be inching closer to reality
Leaked app wireframes give the strongest hint yet that Samsung's Ballie home robot, first shown at CES 2020, might still be headed toward an actual release.
Samsung Ballie robot in a room next to a dog feeder.

Samsung's rolling home robot has been the industry's longest-running "will it ever actually ship" joke, and I'll admit I'd mostly given up on it. Now, there's finally a glimmer of hope.

Samsung first unveiled Ballie as a concept at CES 2020. Then, it showed it as a significantly upgraded version four years later. However, the company never confirmed a release date or committed to releasing it at all. 

Read more
Polar is yet another AI browser, but it goes beyond just automating the mundane web chores
Polar wants to turn your browser into an AI-powered productivity tool
Polar AI browser

The AI browser race is entering a new phase. After spending much of 2025 trying to reinvent web search with built-in chatbots, startups are increasingly shifting their attention toward browser agents that can automate repetitive work instead of simply answering questions. The latest company to embrace that transition is Polar, a startup founded by former Perplexity engineer Kevin Zhang, which has raised $5.7 million in seed funding led by Madrona.

Unlike the first generation of AI browsers that targeted everyday consumers, Polar is designed specifically for knowledge workers. Its premise is straightforward: instead of replacing Google Search, the browser aims to eliminate repetitive tasks that professionals perform across dozens of browser tabs every day.

Read more