This paper focuses on implementing image processing for human understanding in low visibility using different image processing technologies, high-speed processors, employing the BBB board in designing embedded systems and protocols with their comparative study. We have proposed a system called as “image processing for human understanding in low visibility”. The purpose of this application is to overcome the problem of Low-visibility conditions for Navigation of vehicles. Driving at night, in blizzards, in sand storms, or in fog form an obvious set of challenging conditions. The main aim is to solve the problem of low visibility by advanced image processing technique purpose to improve the perceptual quality of images that lack the contrast or color depth perceived by the human visual system. This paper provides the use of high-speed infrared cameras and advanced image processing techniques to deal with the problem of low visibility.