
Many scientific and technological advances are inspired by the study of animals and plants. Spiders have long inspired innovations, especially related to their silk and web-making. A new development, however, is based on the design of jumping spider eyes.
Jumping spiders (family Salticidae) leap quickly to avoid predators, capture prey, or simply move around. They need good 3D vision to judge distances when they jump. Unlike human eyes, which have only one retina, jumping spider eyes can’t move, but they have multiple retinal layers. These layers capture the image with slightly different focus. Their poppy seed-sized brains then process the images, comparing differences in sharpness to compute the distance to an object.
A computer scientist at Northwestern University, Emma Alexander, and her colleagues have created an extremely efficient 3D camera dubbed a “SpiderCam.” They presented their project on June 7, 2026, at the Computer Vision Foundations Conference on Computer Vision and Pattern Recognition in Denver, Colorado. The SpiderCam perceives depth the same way that jumping spider eyes do, by capturing images on two layers of “retinas” with very slight differences in focus. A computer algorithm embedded in a custom chip processes and compares the images to calculate depth and distance. This SpiderCam uses less than a Watt of power to create real-time 3-dimensional images.
Possible uses for the SpiderCam include field recording, where capturing a 3D image with minimal power is essential. It could also be used in augmented reality applications where a person interfaces with the physical world and needs precise location information about surrounding objects.
The advantage of the camera based on jumping spider eyes is that it uses less energy and less expensive hardware than other 3D cameras. Humans continue to learn from animals, and as we discover God’s designs in nature, we can apply them in biomimicry to solve problems in technology and everyday life.
— Roland Earnst © 2026
Reference: popsci.com
