Engineering an AI-orchestrated drone flight control system to automate high-altitude wind turbine inspections—eliminating human risk while delivering sub-second structural telemetry.
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High-altitude renewable energy monitoring requiring precise, hands-free data extraction in extreme environments.
IoT Architect + React Native Lead + Mobile SDK Specialist embedded within the GEOMATIC operations team.
Transitioning from dangerous manual structural climbs to an auditable, AI-assisted autonomous drone mesh.
Parrot Drone SDK integration, Node.js microservices, and real-time structural imaging pipelines.
The client, a prominent German energy entrepreneur, faced a critical 'Execution Gap' in turbine maintenance. Technicians were required to physically scale 100-meter structures in hazardous wind conditions, leading to significant insurance overhead and slow maintenance cycles.
The risk was operational: manual inspections were inconsistent, data capture was subjective, and resource constraints made routine monitoring a bottleneck for regional expansion. GEOMATIC required a digital-first solution to decouple human safety from infrastructure integrity.
Technicians scale structure manually; high risk of injury and extreme weather vulnerability.
100% remote operation; flight paths are pre-validated to ensure structural clearance.
Setup, climb, and manual documentation made per-turbine inspection a half-day task.
Automated waypoints allow the drone to complete a full 360° inspection in a single flight.
Fixes occurred only after visible degradation or mechanical failure was noted.
Digital twins created from high-res telemetry allow for preemptive maintenance scheduling.
The drone autonomously identifies turbine orientation and calculates the safest optical path for zero-collision high-res capture.
Sub-second processing of flight telemetry ensures that the operator is immediately alerted to structural anomalies during flight.
Flight paths and imaging data are cryptographically signed to ensure maintenance logs remain immutable for insurance audits.
Pre-built SDK wrappers for Parrot hardware to ensure rapid, secure command-and-control stability.
Reusable logic for 3D waypoint planning and autonomous collision-avoidance in vertical structures.
Real-time pipeline for ingesting and normalizing disparate sensor data (GPS, Wind, IMU) for cloud dashboards.
Analytics framework to translate telemetry data into maintenance-cost avoidance projections.
Autonomous waypoints removed manual flight delays, allowing operators to clear double the turbines per day.
Total elimination of high-altitude structural climbing resulted in a fundamental shift in workforce safety profiles.
Optical-assisted telemetry provided a 4x increase in data resolution for structural micro-crack detection.
Client Testimonial
Coretus didn't just build a mobile app—they engineered a safety-first flight mesh. We eliminated human climbing risk immediately, and our inspection cycle is now 60% more efficient than industry standards.
Founder & Energy Entrepreneur