This Brain-Inspired Camera Can See Through Dense Fog
Fog, muddy water, and other murky conditions can make even the best cameras practically useless. Light reflected from an object gets scattered before reaching the camera, leaving behind little more than a blurry mess. Researchers at Brown University have now developed a brain-inspired imaging system that can cut through that interference, allowing it to reconstruct and track moving objects that conventional cameras cannot see.
The system takes inspiration from the way our eyes and brains process visual information. Instead of using a conventional camera that repeatedly captures complete frames, the researchers turned to a dynamic vision sensor (DVS). Each pixel on this event-based camera responds only when it detects a sufficient change in brightness, producing a stream of events rather than a sequence of images.
An overview of the approach (📷: N. Zhang et al.)
That distinction becomes particularly useful in fog or turbid water. The scattering background generally changes...
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