MACHINE LEARNING / COMPUTER VISION / EDGE COMPUTING

A behind-the-scenes tool, powered by A.I to specifically assist ARC umpires in making better decisions during critical game moments.

AFL, a sport known for its incredible data collection and statistical analysis, faces a significant issue regarding the visibility of game-making details, particularly scoring moments. This compromise in visibility has a direct impact on the accuracy of scores, outcomes of games, grand finals, and even players' careers.

However, Google has the ability to harness the power of machine learning to significantly enhance the perception of these crucial details and improve the overall experience of the game. This exemplifies how Google's speed, tools, and infrastructure can effectively address our most daunting challenges, ultimately revolutionising the human experience.

Introducing ReView, a behind-the-scenes tool specifically designed to assist ARC umpires in making better decisions during critical game moments.

PARTNERS

Google / Channel 7

Architecture - GCE, TensorFlow model training on GCP, real-time inference at the edge, Unity visualisation, broadcast integration.

Platforms - GCP (Vertex AI, Compute Engine), Unity, Enterprise Stadium Network, IP Cameras.

Key Services - Vertex AI, Cloud Functions/Cloud Run, IP Camera SDK/API, Edge Functions (for pre-processing), Network Management Tools, TeamViewer, OpenCV, Scipy.

Languages/Tech - Python (TensorFlow), C# (Unity), Networking Protocols, BlackMagic DeckLink cards.