"Oslo, Norway-based Spoor has built software that uses computer vision to track and identify bird populations and migration patterns. The software can detect birds within a 2.5-kilometer radius (about 1.5 miles) and can work with any off-the-shelf high-resolution camera. Wind farm operators can use this information to better plan where wind farms should be located and to help them better navigate migration patterns."
""The expectations from the regulators are growing but the industry doesn't have a great tool," Helseth said at the time. "A lot of people [go out] in the field with binoculars and trained dogs to find out how many birds are colliding with the turbines." Helseth told TechCrunch last week that since then, the company has proven the need for this technology and worked to make it better."
"At the time of its seed raise in 2024, Spoor was able to track birds in a 1-kilometer range, which has since doubled. As the company has collected more data to feed into its AI model, it has been able to improve its bird identification accuracy to about 96%. 'Identifying the species of the bird for some of the clients, you add another layer,' Helseth said."
Spoor launched in 2021 to reduce wind turbine impacts on local bird populations using computer vision. The company built software that tracks and identifies bird populations and migration patterns using any off-the-shelf high-resolution camera and can detect birds within a 2.5-kilometer radius. Wind farm operators can use the data to site turbines, adjust operations, or pause turbines during heavy migration to reduce collisions. The detection range has increased from 1 kilometer at its 2024 seed raise to 2.5 kilometers, and identification accuracy has improved to about 96% through expanded training data and involvement of an in-house ornithologist. Demand is growing from wind farms and other users.
Read at TechCrunch
Unable to calculate read time
Collection
[
|
...
]