Machine vision technology functions by utilizing computer algorithms and optical sensors to interpret visual information from the surrounding environment. It typically involves capturing images through a camera, which are then processed and analyzed using image processing techniques. These processes help identify objects, monitor movements, and make real-time decisions based on visual data. Applications range from manufacturing, where it ensures product quality, to autonomous vehicles, aiding navigation and obstacle detection. Machine vision systems rely on artificial intelligence to enhance their accuracy and efficiency, making them integral for automation and intelligent systems.