A new tool can identify people in complete darkness by using their thermal signature and matching infrared images with ordinary photos, using a deep neural network system to process the pictures and recognize faces.
Saquib Sarfraz and Rainer Stiefelhagen at the Karlsruhe Institute of Technology are behind the research into facial recognition in thermal images. During testing, the researchers say the system has demonstrated an 80-percent success rate, working 55 percent of the time with one image. However, "more training data and a more powerful architecture" could lead to better results, Sarfraz says.
Tom Heseltine, head of research for U.K. face recognition company Aurora, says the ability to use thermal infrared and match the images against standard color photographs is an interesting approach, noting the biggest advantage is the ability to operate in the dark without active infrared illumination.
The researchers note that with improved accuracy, the system could serve as a law enforcement tool.
From BBC News
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