Brain-inspired imaging system can 'see' through fog

Researchers at Brown University School of Engineering have built a brain-inspired imaging system that can detect and track moving objects in partially opaque environments such as dense fog or muddy water. The approach could support navigation, search-and-rescue and autonomous vehicles.

• Works in partially opaque media: dense fog and muddy water
• Tracks moving objects, not just static scenes
• Developed at Brown University, inspired by brain processing