Research on dynamic adaptation and perception of machine vision light sources in multiple scenarios

The intelligent visual system is conspicuously influenced by external light sources during the imaging process, resulting in an increased probability of feature extraction failure. In this paper, by designing a small closed-loop illumination simulation control circuit, a novel telescopic adaptive variable universe fuzzy control algorithm (VUFP) is innovatively incorporated. Starting from the variability and uncertainty of the fuzzy rule base, the compensation characteristics of the machine vision light source are found for rapid response and identification. Experimental results show that this system can respond quickly to unrecognized results in various scenes, whether in bright or dark environments, and adjust and supplement the light source parameters to enhance the recognition efficiency of the system.