Visual AI for Asset Maintenance Inspections and Physical Site Security

AI Inspection Model Library

Our InFlightAI models have been trained on real world data, and are currently deployed in the field creating value for enterprise-scale customers around the world.

Perimeter Inspection: Vegetation

InFlightAI Computer Vision Model

Perimeter Inspection: Vegetation

AI Model Overview

InFlightAI’s Perimeter Inspection: Vegetation model uses computer vision AI to detect overgrowth near fences and critical infrastructure. It identifies areas where vegetation may obscure visibility or create security and maintenance risks.

Vegetation encroaching on the fence line, and on either side of it, is detected and flagged. Clearance expectations are set to your site during onboarding.

Growth that blocks camera sightlines or conceals a breach point is flagged before it becomes a problem. Trim crews go to the sections that need attention rather than working the whole perimeter.

How It Works

Perimeter Inspection: Vegetation returns segmentation mask output. It identifies overgrowth along fence lines, vegetation obscuring camera sightlines, and growth encroaching on critical infrastructure.

Perimeter Inspection: Vegetation 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.

Inspection Type:
Physical Security Patrol
Inference Time:
Post Flight
Deployment Window:
By Day 30