The NHL intends to use AWS Elemental Media Services to develop and manage a cloud-based HD and 4K video content delivery system that will provide a complete view of the game to NHL officials, coaches, players, and fans.

The NHL will work with the Amazon Machine Learning Solutions Lab to apply AWS’s deep portfolio of machine learning services to game video and official NHL data to develop and share advanced game analytics and metrics that take fans deeper into the game. This infrastructure allows Sportradar's researchers to test and validate computer vision models at scale and bring models from the lab to production with minimal effort while delivering the low latency, reliability and scalability needed for live sports betting use cases.īy tapping into the breadth and depth of AWS services, the NHL will be able to automate video processing and content delivery in the cloud and leverage its Puck and Player Tracking (PPT) System, which runs on AWS cloud infrastructure, to better capture the details of game play for its fans, teams, and media partners. To bring this technology into production as it matures, Sportradar is leveraging AWS services including Amazon SageMaker, EKS, MSK, FSx and Amazon’s broad range of GPU and CPU compute instances for its computer vision processing pipeline. Working with the Amazon ML Solutions Lab, Sportradar is exploring the application of state-of-the-art deep learning models for automated match event detection in soccer, moving beyond player and ball localisation to understanding the intent of the play in terms of what is happening in the game. Sportradar is investing in computer vision research both through internal development and external partnerships to build computer vision data collection capabilities with an initial focus on tennis, soccer and snooker.

For Sportradar, the global provider of sports and intelligence for the betting and media industries providing data coverage from more than 200,000 events annually, advances in computer vision are an opportunity to expand the depth of sports data offered to customers and reduce the costs of data collection through automation.

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