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AI-Powered Sports Analytics Platform for Real-Time Player and Event Tracking Using Broadcast Feeds
  1. case
  2. AI-Powered Sports Analytics Platform for Real-Time Player and Event Tracking Using Broadcast Feeds

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AI-Powered Sports Analytics Platform for Real-Time Player and Event Tracking Using Broadcast Feeds

alltegrio.com
Sports
Technology

Challenges in Player and Event Tracking for Sports Analytics

The client needed a cost-effective solution to analyze player movement and critical game events in real-time using existing broadcast camera feeds without additional hardware. They required accurate field coordinate mapping of player actions and event-driven data intelligence to support coaching and recruitment decisions.

About the Client

A sports analytics firm specializing in AI-driven performance analysis and player recruitment solutions for professional sports teams.

Project Goals for Sports Analytics AI Solution

  • Develop a real-time player tracking system using broadcast feeds with 22-player monitoring
  • Implement predictive analytics for team performance assessment and recruitment strategies
  • Create custom data annotation tools for high-quality training datasets
  • Deploy a cloud-based platform on AWS for scalable data processing
  • Enhance team strategy effectiveness through actionable data insights

Core Functionalities and Key Features

  • Comprehensive Player Tracking with second-by-second updates of all players' positions
  • Event Analysis with precise field coordinate marking for critical actions
  • Predictive Analytics dashboards for performance metrics and recruitment decisions
  • Integration with ML models for activity recognition and pattern analysis
  • Custom Data Annotation tools for labeled training datasets
  • Cloud-based deployment with AWS integration

Technologies and Tools

AWS
Python
TensorFlow
PyTorch
OpenCV
PostgreSQL
C++

System Integrations

  • Client's existing sports analytics systems
  • Third-party performance dashboards

Non-Functional Requirements

  • Scalability to handle large volumes of real-time video data
  • Low-latency performance for live tracking
  • AWS-based security and data encryption
  • High availability with automated failover
  • 99.9% accuracy in player position detection

Expected Business Impact of Sports Analytics Platform

The platform will enable data-driven tactical decisions for coaches, improve player recruitment accuracy through quantifiable metrics, and reduce hardware costs by leveraging existing broadcast infrastructure. It will provide a competitive edge via advanced analytics capabilities currently rare in the sports industry.

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