InFlightAI Computer Vision Model
Perimeter Inspection: Fence Anomaly
AI Model Overview
InFlightAI’s Perimeter Inspection: Fence Anomaly model uses computer vision AI to detect irregularities along perimeter fencing, including damage, missing sections, attached objects, and obstructions. It supports automated inspection workflows to maintain secure boundaries.
The fence line is assessed against its expected condition along the full run. Configuration to your fence type and site layout happens during onboarding.
Damage, gaps and attached objects are found along runs that are rarely walked. Fence-line condition becomes a mapped work list rather than a windshield survey.
How It Works
Perimeter Inspection: Fence Anomaly returns segmentation mask output. It identifies damage and missing sections, gaps along the fence line, objects attached to fencing, and obstructions against the fence.
Perimeter Inspection: Fence Anomaly is a physical security patrol model, currently deployed across industries like Electric Utilities, Oil & Gas, Manufacturing, Logistics, Power Generation, Nuclear and Mining. Detections are returned after the flight has landed, once imagery and waypoint data have been synced to the platform. The model is configured to the assets and environments at your site during onboarding, and is ready for use within thirty days.