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Light-Based Computing Leap Boosts Future Smart Camera Potential

Advance in light-based computing shows capabilities for future smart cameras

UCLA-developed experimental device quickly processes ambient light and demonstrates ability to reduce glare in images.

Graphene-Based Tracking System May Streamline Autonomous Vision | Research & Technology | May 2021

Imaging system shows potential in autonomous technologies

The imaging system exploits the advantages of transparent, nanoscale, highly sensitive graphene photodetectors developed by Zhaohui Zhong, U-M associate professor of electrical and computer engineering, and his group. “The in-depth combination of graphene nanodevices and machine learning algorithms can lead to fascinating opportunities in both science and technology,” said Dehui Zhang, a doctoral student in electrical and computer engineering. “Our system combines computational power efficiency, fast tracking speed, compact hardware and a lower cost compared with several other solutions.” The graphene photodetectors in this work have been adjusted to absorb about 10 per cent of the light they are exposed to. Because graphene is so sensitive to light, this is sufficient to generate images that can be reconstructed through computational imaging. The photodetectors are stacked behind each other, resulting in a compact system, and each layer focuses on a different focal plane,

3D motion tracking system could streamline vision for autonomous tech

Images A new real-time, 3D motion tracking system developed at the University of Michigan combines transparent light detectors with advanced neural network methods to create a system that could one day replace LiDAR and cameras in autonomous technologies. While the technology is still in its infancy, future applications include automated manufacturing, biomedical imaging and autonomous driving. A paper on the system is published in Nature Communications. 50928751578 a3702cc26c q.jpgThe imaging system exploits the advantages of transparent, nanoscale, highly sensitive graphene photodetectors developed by Zhaohui Zhong, U-M associate professor of electrical and computer engineering, and his group. They re believed to be the first of their kind.