Pinhole Camera Offers High-Performance Imaging for MIR Wavelengths
An ancient, lens-free imaging technique provides the basis for a new mid-infrared (MIR) camera that can capture clear, wide-depth images over long distances, even under low light. The camera uses pinhole imaging, a method first described in the fourth century BC. The MIR pinhole camera, invented by a team at East China Normal University, overcomes some of the limitations of conventional lens-based systems, especially in the areas of depth of field, field of view, and optical aberrations.
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Agate Sensors Raises $6.6M for Everyday Spectroscopy Tech
Agate Sensors, a spinout of Aalto University developing smart sensors for material analysis, has raised €5.6 million (~$6.6 million) to commercialize a research breakthrough that shrinks spectroscopy from suitcase-sized lab equipment to a single pixel smaller than a grain of sand — integrated into a chip compact enough to sit on the tip of a finger.
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AI-Enabled System Uses Standard Security Cameras to Improve Fire Detection and Response Times
Fires claim thousands of lives in the U.S. yearly, with a contributing factor being the slow response of traditional smart detectors. A research group at NYU Tandon School of Engineering developed an AI system that uses ordinary security cameras to detect fires and smoke in real time. By utilizing the technology of the Internet of Things, they developed a method to detect fire and smoke with minimal latency and higher accuracy without the need for additional data.
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Features
OCT and Material Analysis, Vision-Guided Robotics, Embedded Vision
Photonics Media is currently seeking technical feature articles on a variety of topics for publication in our magazine Vision Spectra. Please submit an informal 100-word abstract to visionspectra@photonics.com, or use our online submission form www.photonics.com/submitfeature.aspx.
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