Low Energy Spider Eyes for AR

⊲ New Atlas ⊳ Researchers at Northwestern University have built a 3D depth-sensing camera called the SpiderCam, modelled on the multi-layered retinas of jumping spiders. The creature’s eyes capture paired images at slightly different focus levels, letting its tiny brain calculate distances with minimal processing power. The SpiderCam replicates this using a custom chip that processes depth maps at 32.5 frames per second on just 624 milliwatts, making it the first 3D camera to operate below one watt. Potential uses include wearables, assistive devices, drones and augmented reality.
⊲ Image – Depositphotos ⊳
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