Business Impact

  • 500+

    Hours of Historical Soccer Content Archived Automatically

  • 1700+

    Players and DFL Members Added to the AI Platform and Ongoing

Customer Key Facts

  • Location : Germany
  • Industry : Sports League & Broadcasting

Problem Context

The Deutsche Fußball Liga (DFL), responsible for running all elite professional tiers of German club soccer, had created a video data library with more than six decades of match content. Sportcast wanted to make this entire library content searchable and accessible to Bundesliga clubs, global media partners, sponsors, and agencies.



  • Identifying the right set of metadata for 175000+ hours of soccer content
  • Identifying over 17000+ players with quality metadata for faces, emotions.
  • Ensuring the solution remains scalable with additional content being added to the hub every week.


AWS EKS (Kubernetes)
AWS EC2 Compute
AWS Quicksight
AWS S3 Storage
AWS Lamda

Video Intelligence solution for archiving soccer content


Quantiphi evaluated the soccer content to be processed and built a video intelligence model which can detect and recognize player faces, emotions, camera shots, custom objects, Brand logos, and match events. The solution complemented the existing metadata requirements (editorial relevance and quality) of archiving teams within DFL Media Hub.

Resting over AWS infrastructure and powered by AWS compute, the solution could scale while processing large volumes of soccer content within a short period.

It could monetize the video archives across decades of sports history for editorial licensing of the media contents by making it available to search for granular information about the players, emotions, objects, and other desired entities across six decades of soccer video content.


  • 2 Million Quality content data points encompassing league players, Emotions, Camera Shots & Angle, Logos, and custom entities.
  • 1700+ Players and DFL Members added to the AI Platform and ongoing.

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