razibdev7(at)gmail(dot)com
Sylhet, Bangladesh
Research Idea Proposal: AI-Powered Real-Time Altitude Tracking for Sports Performance Analysis
1. Choose Your Topic:
Topic:
"AI-Powered Real-Time Altitude Tracking System for Sports: A Case Study with Cricket Balls"
This topic focuses on the application of AI to track the altitude of a cricket ball, while also leaving the possibility open for future extensions to other flying objects through open-source contributions.
2. Conduct Preliminary Research:
Gather information on:
- AI and computer vision techniques for object tracking.
- Motion physics specific to cricket ball trajectory.
- Previous research on ball-tracking technology in sports.
- Object detection algorithms using OpenCV and training models for specific objects (like a red/white cricket ball).
Explore AI-based tracking tools like YOLO or TensorFlow models for ball detection and altitude tracking, as well as the use of motion sensors and image data for sports performance.
3. Define Your Research Question:
Research Question:
"How can an AI-powered mobile application accurately track and measure the real-time altitude of a cricket ball using smartphone cameras, and what potential does this technology have for sports performance analysis?"
This defines your focus on cricket balls while indicating the broader potential for application in sports.
4. Plan Your Proposal:
Type of Proposal:
A digital presentation or app demo would be ideal for showcasing your research, with the cricket ball tracking system at the core. Your GitHub repository will allow others to adapt the system to track different flying objects in the future.
Design outline:
- Slide 1: Title and Research Question.
- Slide 2: Problem Statement and Application in Sports (e.g., cricket training and performance tracking).
- Slide 3: Methodology (AI model trained to detect cricket balls and measure altitude).
- Slide 4: Demonstration (Video of the app tracking the cricket ball’s height).
- Slide 5: Open-source Contribution (Discuss GitHub repository for others to adapt the app).
- Slide 6: Conclusion.
5. Gather Materials:
You will need:
- Android Studio and smartphone for development.
- OpenCV or YOLO for object detection and tracking.
- A cricket ball (red/white) for training and testing.
- CameraX for real-time video capture and ball tracking.
- Tools like GitHub for sharing the code and making it adaptable.
6. Create Your Proposal:
In your app and presentation:
- Object Detection: Focus on training an AI model to detect only the cricket ball (red/white).
- Altitude Measurement: Use the physics of motion (displacement and time) to calculate the ball’s height during its trajectory.
- Future Extensions: Mention that the app is open-source and can be adapted to track other flying objects, encouraging contributions.
7. Include Explanatory Notes:
- Abstract:
This research focuses on the development of a mobile application using AI-based computer vision techniques to track the real-time altitude of a cricket ball. The system provides a low-cost solution for athletes to track performance during training sessions, with the potential for open-source adaptation to other sports or flying objects. - Introduction:
Cricket players and coaches rely on precise data to improve performance, but advanced tracking systems are often expensive. This project leverages AI to create an accessible mobile app for real-time altitude tracking of cricket balls, offering a solution that can be extended to other sports or flying objects. - Methodology:
The app uses computer vision algorithms to detect the cricket ball in real-time, and physics-based calculations to measure its peak altitude. The project is implemented using OpenCV and CameraX for Android, with a focus on cricket ball-specific detection. - Impact:
This app provides amateur cricketers with access to performance-tracking technology previously limited to professionals. The open-source nature of the project encourages further adaptation for other objects, promoting innovation in sports technology. - Conclusion:
The AI-powered cricket ball tracking app is a breakthrough for affordable sports performance analysis. By making the code open-source, the project has potential for broader applications in sports technology, allowing others to build upon the system.
8. Review and Revise:
Make sure your app and presentation clearly demonstrate the functionality and accuracy of cricket ball tracking. Ensure the methodology section explains how you trained the AI model to detect and track the ball’s motion.
9. Present Your Proposal:
When presenting:
- Focus on how the system tracks the cricket ball’s altitude and its relevance to sports training.
- Demonstrate the app's real-time capabilities with a live demo or video of the ball being tracked.
- Emphasize the open-source nature of the project and its potential applications beyond cricket.
10. Reflect:
After receiving feedback, reflect on how the system could be further improved or extended. Consider suggestions for better accuracy or more efficient object detection methods.