This is the first in a two-part blog series on how Tyson Foods, Inc., is utilizing machine learning to automate industrial processes at their meat packing plants by bringing the benefits of artificial intelligence applications at the edge. In part one, we discuss an inventory counting application for packaging lines built using Amazon SageMaker and AWS Panorama. In part two, we discuss a vision-based anomaly detection solution at the edge for predictive maintenance of industrial equipment.
As one of the largest processors and marketers of chicken, beef, and pork in the world, Tyson Foods, Inc., is known for bringing innovative solutions to their production and packing plants. In Feb 2020, Tyson announced its plan to bring Computer Vision (CV) to its chicken plants and launched a pilot with AWS to pioneer efforts on inventory management. Tyson collaborated with Amazon ML Solutions Lab to create a state-of-the-art chicken tray counting CV

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