I will do real time computer vision for basketball, player tracking and ball detection

Build Real-Time Basketball Computer Vision Systems for Player Tracking & Ball Detection

Looking for a custom AI-powered basketball analytics solution? I specialize in real-time computer vision systems for basketball games, training sessions, sports analytics platforms, and performance monitoring applications.

I develop production-ready solutions using state-of-the-art deep learning and computer vision technologies for:

• Basketball player tracking
• Basketball detection & tracking
• Multi-object tracking (MOT)
• Team identification
• Jersey number recognition
• Court mapping & calibration
• Player movement analytics
• Heatmaps & trajectory analysis
• Action recognition
• Possession tracking
• Shot detection systems
• YOLO object detection
• OpenCV development
• DeepSORT / ByteTrack integration
• Sports analytics dashboards

Tech Stack:

Python, OpenCV, YOLOv8/YOLOv11, TensorFlow, PyTorch, DeepSORT, ByteTrack, CUDA, Streamlit, FastAPI, Docker, AWS.

Whether you need a proof of concept, custom research implementation, or a complete end-to-end sports analytics platform, I can deliver scalable and optimized solutions tailored to your requirements.