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Using Synthetic Data Generation of Grid Infrastructure to Automate Drone Inspection
, Director of Advanced Analytics, Exelon Corp.
, Data Science Manager, Exelon's Infrastructure and Safety Analytics, Exelon
, Prin Quantitative Engineer, Exelon
Most drone inspections still require a human to manually inspect the video for defects. Training a computer vision model to automate inspection is difficult without a large pool of labeled data for every possible defect. By using synthetic data generation in Omniverse, Exelon is able to automatically create thousands of labeled, photorealistic examples of various defects. These synthetic images can then train an inspection model for real-time drone inspection.