Computer vision technology functions by enabling machines to interpret and understand visual information from the world, mimicking human vision. This technology employs algorithms and machine learning techniques to analyze images and videos, identifying objects, patterns, and scenes. Key components include image acquisition, pre-processing, feature extraction, and decision-making. Applications range from facial recognition to autonomous vehicles, enhancing reliability and efficiency in various sectors. By processing vast amounts of visual data, computer vision enables real-time analytics and interactions, propelling advancements in areas like robotics and healthcare.