Paintball Player Tracking & Scoring

AI & Machine Learning

Project Overview

The client wanted a smart tracking system for paintball games that could follow player movements, track teams, and monitor scores in real-time. The goal was to enhance gameplay by providing accurate data on player positions, movement patterns, and engagement zones. The system needed to work with both live cameras and recorded footage, offering insights like heatmaps, trajectory analysis, and automated score tracking. The aim was to give players and teams a better understanding of their strategies and performance.

Our Contribution

🎯 Developed an AI-powered system to track individual players and teams in real-time. 🎯 Built a smart scoring system to detect hits and update scores automatically. 🎯 Integrated player movement tracking to analyze positioning and strategy.

Our Contribution

🎯 Designed heatmaps and trajectory visualizations to map player activity. 🎯 Created an action recognition system to detect key engagements and interactions. 🎯 Developed a reporting module to generate performance insights from live and recorded footage. 🎯 Ensured seamless integration with existing training and strategy tools for paintball teams.

KEY FEATURES

  • Automated Scoring with Hit Detection

    An intelligent scoring mechanism automatically detected hits and updated team scores in real-time, reducing the need for manual input and increasing accuracy..

  • Real-Time Player Tracking & Team Monitoring

    The system tracked individual players and teams live during matches using AI and computer vision, enabling analysis of movement patterns and strategies.

Tool & Technologies

Customer Feedback

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John Doe

Codetic

Results

Enabled real-time strategy refinement and performance analysis, enhancing both competitive edge and player experience.

Deliverables

AI-Powered Tracking System

Developed a system to track players in real-time from both live and recorded footage

Heatmaps & Trajectory Visualization

Created detailed heatmaps and trajectory lines to show player movements and engagement zones.

Action Recognition & Event Detection

Implemented AI models to detect key in-game actions such as player engagements and interactions.

Performance Reporting Module

Built a reporting tool that delivered performance insights and analytics to players and teams after each match.

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