Spectral Analysis on Color Detection Sharpness of Animal Vision toward Polychromatic Vision System

Abstract

Spectral discrimination by animal visions such as human, bird, and butterfly is numerically compared by angular analysis of photo-response (PR) which will be recorded at photo-receptors. Hyperspectral imaging system is utilized to simulate various animal vision. Bird vision is acute to discriminate colors among different vegetables due to its evenly spaced and narrow spectral responsivity of photo-receptors compared to that of human. Butterfly vision is excellent in discriminating red tomato ripening due to the exclusive photo-receptors detecting only over 600 nm. Even real and fake fruits in the same perceived color for human is discriminated by bird vision. Artificial vision with finely resolved polychromatic artificial cone cells are demonstrated surpassing human vision using visible multispectral camera. This provides insights on designing novel bio-inspired vision system. Exploring human, bird, and butterfly vision via hyperspectral imaging, this study aims to develop a novel polychromatic artificial vision system. The precise color discrimination and maturity detection capabilities of this system is highlighted, outperforming human vision. Enhanced with finely resolved artificial cone cells, it opens new directions in bio-inspired vision technology design. image