AutoScout, Inc.

Break Down Game Film Automatically

AutoScout represents the state-of-the-art in football video technology. It automatically breaks down game film, saving you, the coach, countless hours in the film room.
The next generation of football technology

Autoscout is developing next-gen real-time sports vision analytics for American Football - or in layman terms - vision-based Moneyball for American Football. Using only the video of the game - no special chips or hardware of any kind - Autoscout’s vision is to enable Coaches and Scouts to assess individual players, understand the game, and proactively manage plays and prevent injuries using actionable insights in as near real time as possible.

The AutoScout Team

Hover over our pictures to learn more about us!
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Shaunak

Co-Founder & CEO
Graduated from the University of Illinois College of Business in May 2009. Most of his work experience has been in Computer Vision and Optics research and development. He is passionate about bringing computer vision research to the real world, especially in the sports domain.
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Bernard

Co-Founder
Assistant Professor at the KAUST Visual Computing Center. Received PhD from the UIUC ECE in May 2010. Research interests include modelling dynamic objects in video sequences and developing efficient optimization and randomization techniques for large-scale computer vision and machine learning problems.
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Narendra

Co-Founder
ECE Professor at UIUC. Received his PhD from the University of Maryland in 1979. Fields of professional interest are next generation cameras, 3D computer vision, video analysis, image analysis, pattern recognition, human computer interaction, image processing, image synthesis, and robotics.
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Indri

Co-Founder
Assistant Professor at the Singapore Institute of Technology. Received PhD from the University of Washington in June 2010. Research interests include but are not limited to computer vision, image and video processing, and machine learning.
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Tianzhu

Co-Founder
Associate professor at Chinese Academy of Science. Received PhD CAS in July 2011. His primary research interests include computer vision and machine learning; his expertise lies in object tracking.

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