In this paper we present a real-time vision system modeling the human vision system. Our purpose is to inspire from
human vision bio-mechanics to improve robotic capabilities for tasks such as objects detection and tracking. This work
describes first the bio-mechanical discrepancies between human vision and classic cameras and the retinal processing
stage that takes place in the eye, before the optic nerve. The second part describes our implementation of these principles
on a 3-camera optical, mechanical and software model of the human eyes and associated bio-inspired attention model.