Wind energy is the future, but it comes at a hidden cost. As turbines expand into coastal migration zones, they become invisible barriers to avian life.
High-speed industrial optical sensors scan the airspace. Powered by CV algorithms, they identify bird species in <15ms.
The Edge AI Core calculates trajectory and collision probability. It filters out false positives like waves or clouds.
Smart intervention is triggered. UV lights flash and the rotor undergoes "Micro-Braking" to create a safe passage.
Built to withstand offshore gale-force winds while processing terabytes of visual data in real-time.
A tiered response system that escalates based on collision probability. Safe for birds, effective for operators.
Turbines communicate with each other to track flock migration paths in real-time, creating a protective shield.
Reconciling green energy and wildlife.
Reducing regulatory fines for operators.
OEM & Retrofit compatible.
Generating PB-level datasets for study.
Building support for wind projects.
Engineered for harsh environments.

Strategy Lead

Engineering

Design

Finance
Architectural design, visual synthesis, content generation, and code augmentation assisted by the intelligence of Google Gemini.
Avian mortality estimates derived from US Fish and Wildlife Service (USFWS) reports and independent ecological studies.
Compute module performance data based on NVIDIA Jetson Orin NX embedded systems technical documentation.
IP67 rating protocols, LoRaWAN networking standards, and 5G connectivity infrastructure specifications.
Stock imagery and blueprint schematics rendered and processed using AI-assisted graphic design tools.
End of Transmission.