Machine vision with small numbers of detected photons per inference
Machine vision, including object recognition and image reconstruction, is a central technology in many consumer devices and scientific instruments. The design of machine-vision systems has been revolutionized by the adoption of end-to-end optimization, in which the optical front end and the post-processing back end are jointly optimized. However, while machine vision currently works extremely well in moderate-light or bright-light situations -- where a camera may detect thousands of photons per pixel and billions of photons per frame -- it is far more challenging in very low-light situations. We introduce photon-aware neuromorphic sensing (PANS), an approach for end-to-end optimization in...
| Authors | Shi-Yuan Ma, Jérémie Laydevant, Mandar M. Sohoni et al. |
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| Primary category | physics.optics |
| Published | 25 March 2026 |
| Last updated at source | 25 March 2026 |
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