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: Climbing Aid

InFlightAI Computer Vision Model

Perimeter Inspection: Climbing Aid

AI Model Overview

InFlightAI’s Perimeter Inspection: Climbing Aid model uses computer vision AI to identify objects near fences that could enable unauthorized access, such as ladders, stacked materials, or equipment. It helps proactively mitigate security vulnerabilities.

Objects positioned close enough to the fence line to serve as a climbing aid are detected and flagged. Configuration to your fence height and perimeter layout during onboarding keeps ordinary yard storage from triggering alerts.

Ladders, stacked pallets and equipment left against the fence are spotted before anyone uses them. It closes the gap between a housekeeping issue and a security one.

How It Works

Perimeter Inspection: Climbing Aid returns bounding box output. It identifies ladders, stacked materials and pallets, and equipment positioned against or near fencing.

Perimeter Inspection: Climbing Aid 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