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How EPRI Uses Computer Vision to Mitigate Wildfire Risks for Electric Utilities

On Demand


  • Sponsored Session


  • Hybrid


  • Sponsored Session


  • Intermediate


  • Moscone South | Level 2 | 207


  • 35 min
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Vue d'ensemble

For this talk, Labelbox has invited the Electric Power and Research Institute (EPRI) to share information about how it is using computer vision, drone technology, and Labelbox’s training data platform to reduce wildfire risks innate to electricity delivery. This talk is a great starting point for any data teams tackling difficult computer vision projects. The Labelbox team will demonstrate how teams can produce their own annotated datasets like EPRI did, and import them into the Lakehouse for AI with the Labelbox Connector for Databricks.

Mechanical failures from overhead electrical infrastructure, in certain environments, are described in utility wildfire mitigation plans as potential ignition concerns. The utility industry is evaluating drones and new inspection technologies that may support more efficient and timely identification of such at risk assets. EPRI will present several of its AI initiatives and their impact on wildfire prevention and proper maintenance of power lines.

Session Speakers

Nick Lee

Partner Solutions Tech Lead


Dexter Lewis

Principal Technical Leader

Electric Power Research Institute

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