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In this episode, we examine how vision inspection is applied in high-volume beef trim processing to address foreign material risk. Beef trim is a critical inspection point, as foreign material that reaches this stage can be distributed across large volumes of finished product during grinding.The discussion explores how AI-based vision inspection systems complement traditional metal detection and X-ray inspection by detecting low-density contaminants such as plastic, wood, styrofoam, rubber, cardboard, and other materials that are difficult for other technologies to identify. We also explain how AI vision systems are trained to distinguish acceptable product from foreign material in beef trim, even when visual similarities exist.Finally, the episode highlights how inspection data can be used beyond detection, helping processors trace contamination back to its source, correct upstream issues, and reduce the likelihood of foreign material entering the process in the future. This conversation is relevant for food safety, quality assurance, engineering, and operations professionals involved in beef processing. 👤 Our Guest Vernon W. Stout, Technical Operations Director for Vision Inspection at KPM Analytics Vernon is a seasoned entrepreneur, food safety technologist, and technical innovator with more than 30 years of experience at the intersection of technology, agriculture, and public health. He holds a BS in Computer Science and, since 2021, has worked at the forefront of industrial food safety supporting the development and deployment of AI-enabled vision inspection systems within major U.S. beef harvest and secondary processing facilities. Read more here: www.kpmanalytics.com/resources/categories/resource-center/examining-vision-inspection-in-beef-trim-operations