Wind energy is the largest renewable energy source in the U.S., but wind farms pose a threat to bird populations. Spoor, a startup, is using artificial intelligence (AI) to help wind farms reduce this risk.
Spoor's software employs machine learning to identify birds in video footage, track their movements, and predict their flight paths. CEO Ask Helseth explained that government regulations in several countries require wind farms to monitor their impact on birds, especially in areas with endangered species. Prior to the use of AI-powered computer vision, this monitoring was challenging.
Spoor's system continuously monitors sites, providing valuable data for wind farms to adjust their operations based on bird migration patterns. Companies can also use this technology to assess the risk to local bird populations when considering new wind farm locations.
The company, based in Oslo, Norway, recently raised a $4 million seed round from investors including Futurum Ventures and Ørsted Ventures. This funding will support Spoor's expansion into the U.S., where the government aims to achieve 30 gigawatts of offshore wind capacity by 2030.
While Spoor faces competition from other AI-based solutions like IdentiFlight, Helseth is optimistic about the company's potential to drive industry progress and environmental conservation. With growing interest from global stakeholders, Spoor is poised to make a positive impact in the renewable energy sector.
This article has been updated to reflect Spoor's competitive landscape.
