InFlightAI Computer Vision Model
Powerline Splice Detection
AI Model Overview
InFlightAI’s Powerline Splice Detection model uses computer vision AI to identify and localize splices along powerlines. It enables inspection teams to verify splice integrity, monitor wear, and ensure compliance with maintenance standards.
The conductor is followed through the frame and flagged at points where a splice interrupts it. Each detection carries its location.
Splices are tracked across successive inspections rather than rediscovered each time. The resulting inventory can be aged, which supports reconductoring decisions.
How It Works
Powerline Splice Detection returns bounding box output. It identifies splices along powerline conductors and records their location for inspection tracking.
Powerline Splice Detection is an asset maintenance model, currently deployed across industries like Electric Utilities and Power Generation. Detections are returned after the flight has landed, once imagery and waypoint data have been synced to the platform. The model is ready from day one, with no site-specific configuration required.