Abstract: A real time working prototype of adaptive gamma correction method using embedded system for image and video enhancement proposed here. Contrast enhancement (CE) plays an important role in the improvement of visual quality for computer vision, pattern recognition and digital image processing. We used CE techniques for optimum results and focus on the CE of brightness distorted images which own a relatively high or low global intensity. The existing adaptive gamma correction (AGC) techniques are revisited and improved formally. We find that such methods are incapable to be directly used to enhance globally bright images and the image structure in local bright regions may be lost in enhancing dimmed images. In order to attenuate such deficiency we proposed real time working prototype. This technique useful for reduce darkness and fog. Real time execution is a challenging task, so we focus for the development of an embedded system using raspberry-pi. Keywords: Contrast enhancement (CE), Adaptive Gamma Correction (AGC), Embedded System (ES).