AeroIntel: AI-Powered Aerial Intelligence Platform
Enterprise aerial intelligence platform using computer vision and LiDAR data fusion for infrastructure inspection and environmental monitoring.
Key Results
Client
A major energy utility serving 3.5 million customers, operating thousands of miles of power lines, pipelines, and solar installations requiring regular inspection.
Objective
Create a comprehensive aerial intelligence platform that processes drone and satellite imagery using AI to detect infrastructure defects, predict maintenance needs, and generate compliance reports automatically.
Industry
Services used
Project Team
AI/ML EngineerComputer Vision SpecialistFull Stack DeveloperGIS SpecialistDevOps EngineerProject Manager
Work Approach
Multi-Sensor Data Fusion
We built a pipeline that combines RGB imagery, thermal data, and LiDAR point clouds into unified 3D models. This multi-sensor approach enables detection of defects invisible to any single sensor type.
Defect Detection Models
Custom deep learning models were trained to identify 40+ defect categories across power lines, solar panels, and pipeline infrastructure. The system distinguishes between severity levels to prioritize maintenance.
Compliance & Reporting
Automated report generation produces regulatory-compliant inspection documentation. The platform maintains a complete digital twin of infrastructure assets with historical condition tracking.
Technical Architecture
Results Achieved
Revolutionized infrastructure inspection
AeroIntel reduced inspection cycle times by 90% while improving defect detection accuracy to 99.2%. The client saved $4.5M annually in inspection costs and achieved full regulatory compliance with zero missed inspections.
With over 25 years of experience, we bring together expertise and innovation to deliver impactful solutions tailored to each client's needs.
Serge Guzenko
CEO & FOUNDER