In addition to Spotter Global, the team will test two other promising systems during this year’s bear season. The first, from Hensoldt, includes both daylight and night vision radar. The cameras for each have already been mounted on the roof of Churchill’s waste facility, ready to gather imagery of approaching bears. The team will use this data to test their AI models, hoping that what we’ve learned from the Spotter Global can be applied to the Hensoldt images. The Hensoldt radar is the most expensive of the three types being tested and also has the longest range.
And finally, the team will be testing a model developed by a professor and students at Brigham Young University. This system is the least expensive and also has the closest range. It will be mounted on Tundra Buggy One, giving it the advantage of being easily put in front of bears as the buggy roams across the tundra. The beauty of this system is that it’s a portable, self-contained, plug-and-play unit—just one box that connects to the internet. It uses a combination of visual and radar data to build its AI model.
“Each tool has its own range, making some better for communities, others for camps or work stations, ” says Kirschhoffer. “Ideally, we can train them to identify polar bears with a high degree of certainty. We’ve already established that the radar sees everything. Being able to see is not the problem. Filtering out the noise is the problem.”