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GTC-DC 2019: Accelerating Trash Detection for the SF Estuary Institute with GPU-Enabled Convolutional Neural Networks Powered by Kinetica (Presented by Kinetica)

Nima Negahban, Kinetica; Anthony Hale, San Francisco Estuary Institute - Aquatic Science Center
We’ll share our experiences developing predictive maintenance capabilities for fleets of complex equipment. We’ll argue the merits of both fleet and individual asset level analysis, and present useful examples of healthcare applications to inspire solutions for the predictive maintenance of equipment.

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