A new type of fiber optic cameras that use a high-speed laser to capture a picture can capture stunning images in low light, with low-light performance that is comparable to a DSLR camera, according to a new study.
The technology has been tested in the U.S. and Europe, and could eventually be rolled out in other countries.
The technology has the potential to be used in the production of commercial optical fiber-optic cameras.
It could also be used to create low-cost and lightweight high-quality digital video cameras that can be used for commercial applications such as security video, the study said.
The new technology is based on a process called superresolution, which is a process in which the camera uses ultra-high resolution pixels, which can be up to 10,000 times the resolution of a human eye, to capture the image.
It uses lasers to make the pixels transparent, and a laser scanner can be attached to a camera to capture details.
The camera then converts those details into a digital image that can then be used by a computer to process the data.
The study by researchers at the University of Waterloo, the Canadian Institute for Advanced Research and the University College London and published online Tuesday in the Proceedings of the National Academy of Sciences, was based on data collected from 10 people.
In one of the experiments, a group of people took a photo of a person holding a whiteboard and was then asked to try to identify the person in the photo.
Researchers then measured the accuracy of the results with a high performance computer vision system called ImageNet.
In the first test, the participants had to identify a person, and then try to guess what that person was.
In a second test, they had to guess correctly for four people.
In the third test, researchers had the same people perform the same task, but instead of having to guess, they could look at a person and then make a digital photo of that person.
In each test, participants had one minute to guess whether a photo was of the person who was being identified.
Researchers found that a large number of people who had tried to identify that person could correctly guess the person’s face.
Participants who did not have to make a guess also did very well at guessing that person’s name.
“We were able to see that the human brain is good at distinguishing between different objects in images, and that this is a trait that is universal across the brain,” said co-author of the study Michael Smith, a PhD candidate in electrical engineering at the university.
“It’s not just something that happens in one particular brain region.
It’s something that you can transfer to a computer.”
Smith said he hopes the new technology could be used, for example, in the manufacturing of high-resolution digital cameras.
“That’s the next frontier of the optical fiber optics industry, because there are many different applications where this could really make a difference,” he said.
He said that the technology could also help people with vision disorders, and people who suffer from macular degeneration.
Smith said that while the technology was developed by researchers in Waterloo, it could be applied to a wide variety of situations, including medical imaging, military imagery, security camera images, crime scene imagery, and commercial imaging.
The University of Toronto has developed similar technology called RealSense, and Smith said he hoped the technology would be used also in high-definition video.
“The big problem we face is that this technology is very expensive, and it’s very time-consuming,” Smith said.
“The challenge is that we can’t really build it in a lab right now.
You need the right equipment, and the right people to do the work,” Smith added.
“This is an exciting step in the right direction.”
Smith and his co-authors are now looking for funding to continue the research.