At its core, an industrial machine vision system comprises high-resolution cameras, specialized illumination, image processors and software algorithms. The system captures images or video of products and processes and then analyzes this visual data to detect defects or anomalies, measure dimensions with high precision, verify the presence or position of parts and guide automated equipment or robots.
In this episode of Control Intelligence, written by contributing editor Charles Palmer, editor in chief Mike Bacidore shares how vision systems impact industrial productivity.
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Control Intelligence is a Control Design podcast that goes deep inside the automation and technology that machine builders, system integrators and end users rely on to keep production humming efficiently. New episodes come out every Monday, and download all episodes by Apple Podcasts or Podbean.
