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According to a new campaign, wind energy is built to protect the future, but risks to birds and bats around wind farms remain, including collisions, habitat disruption, and buffer zones that slow development. Spoor, in collaboration with FP7 McCANN MENAT, has launched “The Birdwatcher,” an initiative that turns AI monitoring data into a public record to show wind energy and wildlife can coexist.
Spoor’s technology combines AI-powered computer vision, geometric flight analysis, and ecological domain knowledge to detect, track, and classify birds and enable curtailment at wind energy sites to prevent fatalities.
For decades, the wind industry relied on human observers with binoculars to track bird activity, resulting in slow, fragmented data that often led to oversized buffer zones and stalled permits.
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As wind energy scales globally, concerns remain around its impact on wildlife, particularly birds and bats. Collisions, habitat disruption and regulatory buffer zones continue to present challenges for the sector. The Birdwatcher addresses this by reframing the issue and shifting the conversation from limiting wind development to improving the intelligence behind it.
At the core of the initiative is Spoor’s patented technology, which combines AI-powered computer vision, geometric flight analysis and ecological expertise to continuously detect, track and classify bird activity. The system enables wind operators to take preventative action, including turbine curtailment, to reduce risk to wildlife.
Traditionally, the industry has relied on human observation, resulting in slow and fragmented data that often failed to satisfy regulators. This has led to conservative buffer zones and delays in project approvals. In contrast, Spoor’s Sky Intelligence Platform delivers continuous monitoring with detection ranges of up to 1.5 kilometres and accuracy rates of at least 95%, providing verifiable data for permitting, risk mitigation and operational decision-making.
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