Machine vision involves capturing images using cameras and sensors and then sending them to an industrial computer for processing and analysis.
Machine vision enables electronic and mechanical systems to turn visual information into decisions. Use cases range from simple environmental perception such as positioning, inspection, measurement, identification and quality control of products in the factory to automated face recognition and collision avoidance.
With Deep Learning, complex and subjective decision-making can be automated quickly. This offers opportunities to analyse more complex patterns for faster system development and increased productivity.