🎾 Active Vision - ANU TechLauncher Project

Welcome to the Active Vision project! 🚀 This project is part of the TechLauncher initiative and focuses on developing an advanced computer vision system for analyzing tennis matches.

🔍 Overview

The Active Vision project aims to revolutionize tennis training by leveraging cutting-edge machine learning techniques to capture, analyze, and interpret motion dynamics. By utilizing high-speed cameras 🎥 and sophisticated algorithms 🧮, our system provides players and coaches with detailed insights into swing mechanics, helping them enhance performance and refine techniques.

🎯 Objectives

• 🧠 Develop Analytical Algorithms: Create robust algorithms capable of analyzing motion data to identify key performance indicators (KPIs) such as swing speed, angle, and impact accuracy.
• ⚡ Real-time Feedback: Implement a real-time feedback system that provides immediate insights and suggestions to players, enhancing their ability to correct and refine their techniques on the spot.
• 📊 User-friendly Interface: Develop an intuitive interface that allows users to interact with the system, view their performance data, and track their progress over time.

📌 Methodology

1. 📹 Data Processing

• Capture high-speed video footage of tennis swings.
• Apply advanced computer vision techniques to extract precise motion data.
• Track player body movements and racket trajectory for detailed analysis.

2. 🔢 Algorithm Development

• Train machine learning models on processed motion data.
• Identify and analyze KPIs related to swing performance.
• Fine-tune algorithms for high accuracy and reliability.

3. ⏳ Real-time Analysis

• Process motion data in real-time.
• Deliver immediate insights through the interface.
• Provide actionable feedback for players to improve techniques instantly.

4. 📱 User Interface

• Develop a clean, interactive dashboard for players and coaches.
• Display analyzed data in an accessible and informative manner.
• Offer detailed reports, progress tracking, and personalized recommendations.

📩 Contact

For any inquiries, feel free to reach out via email 📧 or open an issue on GitHub! 🛠

📦 Use Active Vision

Find version v1.0.0 in the release section or follow the installation guide and user manual for further exploration.