"One way to do this is using volumetric video generation that lets users view the play from various angles, giving an inside-the-video-game experience. The core technology uses numerous cameras to capture the footage in 3D for everyone to look at it from various viewpoints. Canada-based Peripheral Labs wants to make this technology affordable for leagues and teams to so it can reach more broadcasters and fans."
"Both Mustafa and I are huge sports fans. He has been a massive Arsenal fan, and I grew up watching the Vancouver Canucks since I was seven. When Mustafa showed me his research about 3D reconstruction, my brain said it would be cool to watch hockey like this [in a free-flowing, multi-angle way]. This is how we started on Peripheral Labs," Cui said in a call with TechCrunch."
"The duo is using their experience with self-driving cars to apply concepts of robotics perception and 3D vision for the 3D reconstruction of video in sports. This system can reduce the camera requirement from over 100 to as few as 32, helping decrease cost and operational overhead, according Cui and Khan. The startup aims to keep the hardware cost as minimal as possible for teams and broadcasters and sign multi-year contracts for its platform."
Live sports viewing has declined for certain sports, particularly among Gen Z, prompting leagues and broadcasters to seek more engaging viewing experiences and analytics. Volumetric video generation enables viewers to see plays from multiple angles by reconstructing scenes in 3D from camera arrays. Peripheral Labs, founded by Kelvin Cui and Mustafa Khan in 2024, applies self-driving car expertise in robotics perception and 3D vision to sports reconstruction. The system can cut camera requirements from over 100 to as few as 32, lowering hardware and operational costs. The startup targets affordability for teams and broadcasters and aims to secure multi-year platform contracts.
Read at TechCrunch
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