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I will do real time computer vision for basketball, player tracking and ball detection
Computer vision specialist
Dedicated Computer Vision Engineer with expertise in building intelligent video analytics solutions. From real-time CCTV monitoring and threat detection to OCR, motion tracking, player analytics, and ...
Informazioni su questo servizio
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.
