Machine vision technology operates by using camera systems and image processing algorithms to analyze visual information captured from the environment. It typically involves several steps: image acquisition, where images are captured; image processing, where techniques like filtering and pattern recognition are applied; and analysis, in which data is extracted for actionable insights. Machine vision is widely used in automation, quality control, and robotics, enhancing manufacturing processes and enabling machines to make decisions based on visual data. This technology improves efficiency, accuracy, and operational safety in various industries.