Oslo-based startup Spoor is witnessing growing interest in its computer vision software designed to monitor bird populations and migration patterns, particularly in the context of wind farms. Established in 2021 to address the impact of wind turbines on local bird species, Spoor’s technology has garnered attention from various industries beyond its initial target market.
The software utilizes computer vision to detect and identify birds within a 2.5-kilometer range, leveraging off-the-shelf high-resolution cameras for optimal performance. This capability empowers wind farm operators to make informed decisions regarding turbine placement and operation based on real-time bird movement data. By adjusting turbine speeds or halting operations during peak migration periods, wind farms can significantly reduce avian collisions and comply with regulatory requirements.
Spoor’s CEO and co-founder, Ask Helseth, highlighted the necessity for such technology in the wind energy sector, where traditional tracking methods have fallen short of regulatory demands. Helseth emphasized the company’s commitment to enhancing the software’s capabilities through continuous data refinement and AI model optimization.
Since its seed funding round in 2024, Spoor has doubled its bird tracking range to 2.5 kilometers and achieved a 96% accuracy rate in bird identification, underscoring the effectiveness of its AI-driven solution.
Source: TechCrunch
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