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I will build ai football video analytics with player tracking using yolo and opencv
AI football player tracking system for match analysis, team performance
I specialize in AI-powered sports analytics and computer vision solutions for football, basketball, cricket, and other sports. Using Python, YOLO, OpenCV, Deep Learning, and Machine Learning, I build ...
About this Gig
Are you looking for an advanced AI-powered football video analytics system that can detect, track, and analyze players in real-time? You've come to the right place.
I specialize in developing intelligent computer vision solutions using Python, YOLO, OpenCV, Deep Learning, and AI to transform football match videos into powerful performance analytics.
Whether you're a football academy, sports startup, coach, analyst, researcher, or content creator, I can build a customized football analytics system tailored to your specific requirements.
What I Can Build
- Real-time player detection using the latest YOLO models
- Multi-player tracking with persistent player IDs
- Ball detection and tracking
- Team classification using jersey color detection
- Speed and distance estimation
- Player heatmaps
- Ball possession analysis
- Pass detection and passing networks
- Tactical movement analysis
- Offside assistance
- Shot and goal event detection
- Player statistics dashboard
- Real-time video annotation
- Match highlights generation
- AI-powered performance reports
- Formation detection
Please contact me before placing an order so we can discuss your project requirements, dataset, desired features, and delivery timeline.
FAQ
What do I need to provide before we start?
Please provide your football video(s), project requirements, preferred features, and any datasets or custom models if available. If you don't have a dataset, I can recommend suitable public datasets or discuss creating a custom one.
Can you build a custom football analytics system?
Yes! Every project is customized to your specific needs. Whether you need player tracking, ball tracking, heatmaps, pass analysis, or a complete analytics dashboard, I can build it from scratch.
Which technologies do you use?
I primarily use Python, YOLO (YOLOv8/YOLOv11), OpenCV, DeepSORT, ByteTrack, PyTorch, TensorFlow, Streamlit, Flask, FastAPI, and other modern AI and computer vision tools.
Can your system track multiple players simultaneously?
Absolutely. The system can detect and track multiple players throughout the match while assigning consistent IDs for accurate tracking and analysis.
