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Automated Football Training Analytics Platform
  1. case
  2. Automated Football Training Analytics Platform

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Automated Football Training Analytics Platform

exposit.com
Sports

Challenges with Manual Data Collection and Analysis

Meteor Football Schools currently rely on manual data collection and analysis of player progress and training sessions. This approach is resource-intensive, prone to errors, and struggles to keep pace with the growing volume of data generated from multiple training grounds. The lack of standardized, objective metrics hinders the creation of individualized training programs and limits parental engagement.

About the Client

A network of football schools focused on improving player development and competition performance through data-driven insights.

Project Goals

  • Develop a computer vision system to automate the collection and processing of training data.
  • Enable the creation of individualized training programs based on player skill development data.
  • Improve the accuracy and efficiency of performance analysis compared to manual methods.
  • Enhance parental engagement by providing access to objective performance statistics.
  • Reduce the cost associated with data collection and analysis by leveraging computer vision technologies.

System Functionality

  • Automated player and ball tracking in video footage.
  • Action recognition (dribbling, passing, tackling, etc.).
  • Player position mapping on the field.
  • Generation of performance statistics (e.g., distance covered, speed, passing accuracy).
  • Individualized training program generation based on performance data.
  • Data visualization and reporting dashboards.
  • User authentication and access control.
  • Camera calibration and field marking tools.

Technology Stack

OpenCV
TensorFlow
Keras
Mask RCNN
Deep SORT
Open Pose

External Integrations

  • Potential integration with existing school management systems (future phase).
  • Cloud storage services for video and data storage (e.g., AWS, Azure, Google Cloud).

Non-Functional Requirements

  • Scalability to handle data from multiple training grounds.
  • High accuracy in player and ball tracking.
  • Real-time or near real-time data processing capabilities.
  • Secure data storage and transmission.
  • User-friendly interface for coaches and administrators.

Expected Business Value

This platform will significantly improve the efficiency and effectiveness of training analytics at Meteor Football Schools. By automating data collection and analysis, coaches will have more time to focus on player development. The objective performance data will enable more effective individual training programs and enhance parental engagement, ultimately leading to improved player performance and increased school satisfaction. The use of computer vision will result in a cost-effective solution compared to alternative methods like wearable tracking or expensive optical systems.

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