Machine vision systems typically consist of several components: a camera or sensor to capture images, lighting to enhance image quality, a processor to analyze the images, and software to interpret the data. These systems use algorithms and machine learning techniques to identify patterns, detect defects, and make decisions based on visual input. The data collected can be used for a variety of purposes, including quality control, automation, and predictive maintenance.