Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Makerkit. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Scalable AI-Powered Sports Video Data Annotation and Analytics Platform
  1. case
  2. Scalable AI-Powered Sports Video Data Annotation and Analytics Platform

Scalable AI-Powered Sports Video Data Annotation and Analytics Platform

alltegrio.com
Sports
Media
Entertainment

Identifying Challenges in Sports Data Processing and Analytics

The client faces difficulties in effectively processing and analyzing vast volumes of sports footage, including minute details of player movements and game events, which hampers timely insights for team strategy and player recruitment. Existing manual annotation processes are costly, slow, and unable to scale with increasing data volumes, resulting in delayed analytics and a competitive disadvantage.

About the Client

A large-scale sports analytics organization seeking to enhance performance insights through AI-driven data annotation and real-time analytics across multiple sports disciplines.

Objectives for Enhancing Sports Data Analytics Capabilities

  • Develop a scalable, high-throughput data annotation system capable of processing over 550 game recordings across multiple sports.
  • Implement automated and semi-automated event recognition and player tracking functionalities to provide detailed game analytics.
  • Deliver postgame analytics within 10 minutes to enable real-time decision-making regarding team strategies and player recruitment.
  • Reduce operational costs while maintaining high annotation accuracy and consistency through customized tooling and workflows.
  • Ensure continuous, 24/7 operational support through a global operational environment.

Core Functionalities for Sports Video Data Annotation and Analytics System

  • Multi-sport annotation capabilities covering sports such as American football, tennis, eSoccer, and ice hockey.
  • Manual annotation tools for detailed labeling of over 40 different player events, including positions, speed, and ball handling.
  • Automated event recognition and player tracking using advanced computer vision techniques.
  • High-volume data processing infrastructure capable of handling over 550 games with efficient throughput.
  • Rapid analytics pipeline ensuring insights are available within 10 minutes postgame.
  • Customized annotation workflows and tooling designed to optimize efficiency and reduce operational costs.
  • An operational environment supporting 24/7 continuous processing with a global team of specialists.

Preferred Technologies for AI Sports Analytics Platform

Python programming language
AWS cloud services for scalable infrastructure
Machine Learning frameworks such as TensorFlow and PyTorch
Custom-built annotation platforms for data labeling
Computer vision techniques for activity recognition and player tracking
MLOps tools and practices for deployment and monitoring

System Integrations Needed

  • External video feeds and game footage storage systems
  • Real-time data streams for live analytics
  • Existing sports analytics dashboards and decision support systems

Non-Functional System Requirements

  • Scalability to process large volumes of sports footage with minimal latency
  • Performance to deliver analytics within 10 minutes after game end
  • Accuracy and consistency in annotations with quality control mechanisms
  • High system availability supporting 24/7 operations
  • Security measures to protect sensitive sports data and footage

Anticipated Business Impact of the Sports Analytics Platform

The deployment of this AI-powered data annotation and analytics platform is expected to process over 550 games efficiently, delivering detailed insights within 10 minutes postgame. It aims to significantly reduce operational costs, enhance the accuracy and speed of performance analytics, and provide timely actionable insights, thereby strengthening the client’s competitive edge in sports strategy, player recruitment, and fan engagement.

More from this Company

Automated Invoice Processing System leveraging OCR and AI Technologies
Development of an AI-Driven Real Estate Platform for Enhanced Property Management and Marketing
Automated Multilingual Receipt Data Extraction and Analysis System
AI/ML-Driven Telecommunications Network Optimization and Customer Engagement Platform
Enterprise Content Management Migration to Headless Platform with AI-Powered Code Transformation