Yearling Solutions
Aviation
Products
Yearling AI

Airport operations enhance safety with real-time AI video analysis

A leading AeroTech solution provider leverages advanced computer vision to analyze real-time video feeds across critical airport areas, detecting safety hazards and preventing incidents before they occur.

Real-time
Hazard Detection
Instant safety alerts
3
Critical Use Cases
Comprehensive coverage
Preventive
Alert System
Before incidents occur
1

The Challenge

Ensuring the safety of aircraft and ground operations is essential for maintaining smooth and efficient airport logistics. Traditionally, equipment movement and logistics during aircraft docking were managed manually, but the widespread presence of airport cameras presented an opportunity to leverage AI/ML for real-time safety monitoring.

The challenge was to develop an AI/ML solution that could detect safety-critical scenarios in real-time video feeds and generate alerts to prevent damage to equipment, aircraft, and personnel across key airport areas including docking tunnels, bridges, moving vehicles, stairs, luggage belts, and other critical zones.

2

The Solution

Yearling AI implemented an advanced computer vision system utilizing real-time video feeds from strategically placed cameras. The AI-powered system detects potential safety hazards and generates immediate alerts, enabling ground crews to respond quickly and prevent incidents.

Critical Use Cases:

Use Case 1: Aircraft Door Safety

Scenario: Aircraft docks at the airbridge, and the door opens.

AI Actions: Detect key objects, measure distances, and alert if the door touches the safety shoe.

Objective: Prevent door-floor contact and potential damage.

Use Case 2: Airbridge-Engine Collision Avoidance

Scenario: Aircraft docking and door opening process.

AI Actions: Track engine and airbridge movement, measure proximity, and issue alerts when too close.

Objective: Prevent costly collisions between airbridge and aircraft engines.

Use Case 3: Stairway Safety

Scenario: Movement of stairs for luggage and personnel access.

AI Actions: Detect objects, track movement, and measure distances.

Objective: Ensure safe stair and object movement around aircraft.

3

The Results

The AI-driven solution enhances safety, reduces costs, and improves operational efficiency across airport ground operations, transforming how safety monitoring is conducted in aviation environments.

Customer Benefits:

Preventing hazards and costly aircraft or equipment damage
Automating real-time monitoring for smoother operations
Enhancing safety for personnel and logistics
Reducing repair costs, delays, and disruptions

Project Overview

Client
Leading AeroTech solution provider
Timeline
Implementation complete

Technologies Used

Computer Vision
Object DetectionSegmentationDepth Estimation
Advanced Tech
Optical FlowKalman FiltersStereoVision
Framework
PyTorch-LightningOpenCVFastAPI
Platform
KubeflowGoogle CloudOptuna

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