AttentiveVision Brings Pro-Level Hockey Viewing to Amateur Leagues via AI
AttentiveVision, a startup co-founded by Vector Institute researcher James Elder, is revolutionizing amateur hockey broadcasting using advanced machine vision technology. The company’s AI-driven system mimics human visual attention to automatically track gameplay, adjusting camera angles in real-time to provide a curated, professional-quality viewing experience. Unlike traditional systems that rely on expensive equipment and manual operation, AttentiveVision’s solution uses proprietary 8K cameras and algorithms trained on university hockey footage to infer play location based on player movements rather than just the puck. This affordable alternative allows amateur teams to offer fans and families high-quality online streams, complete with roster management and statistical tools. Currently installed in British Columbia and Ontario, the technology aims to enhance community engagement in local sports. While focused on hockey, Elder sees potential for expansion into other sports like soccer and basketball, as well as opportunities for micro-targeted advertising. The initiative highlights the application of general AI in unstructured environments, bridging the gap between academic research in human-computer vision and practical commercial solutions for grassroots sports organizations.
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AttentiveVision Brings Pro-Level Hockey Viewing to Amateur Leagues via AI
AttentiveVision, a startup co-founded by Vector Institute researcher James Elder, is revolutionizing amateur hockey broadcasting using advanced machine vision technology. The company’s AI-driven system mimics human visual attention to automatically track gameplay, adjusting camera angles in real-time to provide a curated, professional-quality viewing experience. Unlike traditional systems that rely on expensive equipment and manual operation, AttentiveVision’s solution uses proprietary 8K cameras and algorithms trained on university hockey footage to infer play location based on player movements rather than just the puck. This affordable alternative allows amateur teams to offer fans and families high-quality online streams, complete with roster management and statistical tools. Currently installed in British Columbia and Ontario, the technology aims to enhance community engagement in local sports. While focused on hockey, Elder sees potential for expansion into other sports like soccer and basketball, as well as opportunities for micro-targeted advertising. The initiative highlights the application of general AI in unstructured environments, bridging the gap between academic research in human-computer vision and practical commercial solutions for grassroots sports organizations.
Vector Institute for Artificial Intelligence