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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.
In a major step toward optical computing for processing visual information, the CNSI investigators showed that a tiny array of transparent pixels could produce a fast, broadband, nonlinear response from low-power ambient light. Potential applications for the technology — beyond the glare reduction validated in the study — cross a variety of consumer and industrial uses: improved sensing for autonomous vehicles; cameras that recognize certain objects while hiding others; image encryption; and efficient, effective detection of defects in robotic assembly lines, among many others. The researchers envision linking their technology with cheap cameras and compressing data to produce images with vastly higher resolution than was realized before, and more precisely and accurately capturing useful information about the arrangement of objects in space and the electromagnetic spectra present in the light.
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