Resources: FAQs
How Can Vision AI Automate Player and Ball Tracking for Sports Coaching and Performance Analysis?
Sports analytics used to be the sole domain of professional sports teams. You needed optical tracking systems costing hundreds of thousands of dollars and dedicated technical staff to operate them. That's changed. The same computer vision stack that powered million-dollar broadcast installations can now run on consumer cameras, laptops, and even smartphone apps. Youth academies
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4 min read
What Are the Best Practices for Building Low-Latency Vision AI Pipelines for Real-Time Video Analysis?
The high-latency workflows of LLMs are fine when the work is creative, analytical, or asynchronous. You can wait a few seconds for a code review or a PDF summary. Vision AI in real-time systems doesn't have that luxury. A robot arm needs to stop before hitting an obstacle. A sports broadcast needs ball tracking that
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5 min read
How Can Real-Time Vision AI Enhance Live Sports Analytics and Fan Experiences?
If you watch any sports, whether it's the NFL, NBA, or Premier League, you'll know that you're not just watching what's happening on the field or court anymore. Now you're watching a VAR overlay of Haaland's offside, 3D replays reconstructing Smith-Njigba's catches from angles that don't exist, and shot charts tracking Wembanyama's shooting percentage as
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6 min read