Intelligent Avian Protection System for Offshore Wind.
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. Conventional wind power often falls into the dilemma of 'clean energy and biodiversity protection cancelling each other out'.
High-speed industrial optical sensors scan the airspace. Powered by the YOLOv8 visual model, they identify bird species in real-time.
The STM32 and Edge AI Core calculate trajectory and collision probability. It filters false positives like waves to ensure 99.9% uptime.
A multi-layered defense is triggered: UV-reflective coatings (passive) combined with Green Lasers and Strobe Lights (active) to divert birds safely.
Built to withstand offshore gale-force winds while processing terabytes of visual data in real-time.
A tiered response system utilizing bird-sensitive spectra. Replacing auditory warnings drowned by ocean noise with intense visual stimulation.
Highly elastic, durable blade materials to minimize collision damage if deterrence fails, protecting the asset.
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.
"Our journey began with a shared interest in offshore wind farms. Lucas invited David to explore turbine-safety innovation, sparking a mission to solve the visible scale of bird-strike risk."
Major human infrastructure need not be passive evaders of nature. We exist to accelerate the renewable transition by eliminating its ecological friction.
Tech Roadmap & Workflow Coordination.
Simulation & Open Source Integration.
Modeling, Prototyping & Physical Analysis.
Algorithms & Commercialization Logic.