Automated Drone Analysis for an Energy Infrastructure Inspection Provider

An energy infrastructure inspection provider had been using traditional power line inspections that often require technicians, climbers or helicopters operating in hazardous environments. While drones made data collection faster and safer, the volume of imagery generated quickly became a processing bottleneck. Reviewing, classifying and analyzing thousands of images manually limited scalability and slowed issue identification.

We developed a multi-tenant computer vision platform that automates the analysis of drone imagery collected from energy infrastructure assets.

The solution combines automated grid generation, image filtering, clustering and issue detection capabilities to help inspection teams process large data sets quickly and consistently. GPS mapping and reporting features provide a clearer view of asset condition across extensive infrastructure networks.