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AI Application Development
Service

AI Application Development

Aerial data, turned into a decision

Custom detection, classification, and geospatial AI trained on your imagery — orthomosaics, patrol video, and field data converted into layers and alerts your team can use.

Overview

Models built for the site, not a generic demo

Shamal develops AI around aerial operations we already fly. That includes feature extraction on orthomosaics, real-time classification of people and vehicles at the edge, safety detection such as helmets, congestion and density analysis from traffic video, and detection models for environmental monitoring.

A useful model is not a slideshow. We define the classes, train and assess accuracy, and deliver the result as GIS layers, a detection log, or an alert in the workflow your operators already watch.

Benefits

Service Benefits

What you gain when Shamal plans, flies, and delivers the work

Trained on your operational imagery
Classes and thresholds set for the site and the sensor, then checked against real captures.
From pixels to layers
Detections exported as GIS features, counts, or logs — not left inside a viewing tool.
Edge and office analytics
Real-time classification on patrol aircraft, and deeper extraction on orthomosaics after landing.
Accuracy is part of the delivery
Detection quality is assessed and reported so you know what the model is reliable for.
Tied to a field operation
The team that builds the model can also plan the flights that keep it supplied with data.
Workflow integration
Outputs shaped for dashboards, GIS, or a control-room alert rather than a one-off file.
Use Cases

Applications

Where this service is applied across projects in Saudi Arabia

Orthomosaic feature extraction
Assets, vegetation, water, buildings, waste, and vehicles classified across large mapped areas.
Security and safety detection
People, vehicles, workers, and helmets flagged on autonomous or scheduled patrols.
Traffic and movement analytics
Density, congestion hotspots, and velocity patterns derived from aerial video.
Environmental detection
Models that flag habitat features or species indicators across coastline and vegetation surveys.
Change and inventory updates
Repeat imagery run through the same model so the inventory moves with the site.
Proof-of-concept deployments
A bounded pilot: defined classes, a test area, an accuracy review, and a decision on scale-up.
Technology

Technologies Used

Aircraft, sensors, and processing methods behind the deliverable

Custom detection models
Training and evaluation for the object classes your operation actually needs.
Orthomosaic analytics
Automated extraction across wide mapped areas, delivered as GIS layers.
Edge analytics
On-patrol classification for security and safety routes that cannot wait for the office.
GeoAI and heatmaps
Spatial density and pattern products from video and repeat imagery.
Accuracy assessment
A reported check of what the model detected, missed, and should not be trusted for.
Integration-ready outputs
Layers, logs, and alerts shaped for GIS, dashboards, and control rooms.
FAQ

Frequently Asked Questions

Practical answers on scope, outputs, and how a project starts

Get Started
Scope an AI pilot
Describe the decision you want automated, the imagery you have or need, and where the result should appear. We will propose the classes, the data, and the test.
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