AI-Assisted Video Training System Launched at Norwegian Ski Area

At SNØ, an indoor ski area in Oslo, Norway, ski racers are using a new technology that could improve the training process: artificial intelligence-assisted video replays.

Developed by a Portuguese tech company and called Snow Eye, the system can film four ski racing lanes simultaneously through two cameras. 

Snow Eye recognizes the racers using AI to identify their clothing and style. Then, it produces individual high-resolution videos where it looks like the cameras followed each skier the entire way.

Kai Grønningsæter, a Norwegian national team ski racing coach, said in a press release that the video system has freed up time for coaches so that instead of filming training runs themselves, they can spend more time communicating with their athletes. 

"It definitely has great value—at least as good as the cameras we've been using ourselves," Grønningsæter said. Check out the technology in action by tapping or click the video below. Keep reading for more on the Snow Eye.

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Reviewing training videos helps ski racers improve and tweak their technique, noted Norwegian ski racer and Olympian Thea Louise Stjernesund. "I wasn't aware it had become this good—it feels so simple. This is something we can use; it's fantastic," she said of Snow Eye.

Stjernesund is joined by other skiers at SNØ who are training to make the Norwegian national team as the 2026 Milano-Cortina winter Olympics loom. 

This season, SNØ's head, Ole Christian Mork, hopes the Snow Eye installation gives them an advantage, recalling the gut-wrenching moment when Stjernesund narrowly missed the giant slalom podium at the 2025 World Championships in Saalbach, Austria.

"That was heartbreaking for us Norwegians. Our dream is that this technology can help our athletes win those hundredths [of a second]," Mork said.

Andrew East and Alessandro Fracassi co-founded Snow Eye. Together, the two previously launched a similar video system, Surf Eye, that films continuously at beaches and wave pools. "Ski slopes were a natural choice, since filming athletes is difficult and ties up a lot of coaching resources," said Fracassi, explaining the jump from water to snow.

Fracassi added that translating the technology to skiing came with specific challenges. 

They had to train the AI to recognize specific lanes and not pick up coaches who might appear in the frame. Now, according to him, the Snow Eye system "works seamlessly."

Fracassi and East's company is in talks to bring Snow Eye to more ski resorts worldwide. Fracassi imagines that casual skiers might find it interesting, too, using the system to improve their skills or simply remember the time they spent in the mountains.

As the AI boom continues, several companies have begun applying the technology to snow sports. The X Games, which debuted an AI-powered judge at a snowboarding competition last winter, drew controversy. Fans feared that AI might do away with human judges entirely.

But Jeremy Bloom, the CEO of X Games and founder of AI-judging spinoff Owl AI,  told  Forbes  earlier this year that the goal is to improve fairness, "not to replace referees and judges but to assist them in making the right calls."

Burton, meanwhile, recently confirmed that it had used AI  to create a new snowboard graphic .

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This story was originally reported by Powder on Sep 5, 2025, where it first appeared in the News section. Add Powder as a Preferred Source by clicking here.