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English
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I will develop computer vision, opencv python, yolo sports analytics, player tracking
About this Gig
Need an advanced Computer Vision solution for sports?
I develop enterprise-grade Computer Vision, OpenCV Python, YOLO, Object Detection, Object Tracking, Pose Estimation, Sports Analytics, Player Tracking, and Ball Tracking solutions for clubs, leagues, broadcasters, sports technology companies, universities, startups, and research organizations.
Core Computer Vision Services
Object Detection
Multi Object Tracking
Pose Estimation
Action Recognition
Instance Segmentation
Semantic Segmentation
OCR
Jersey Number Recognition
Face Recognition
Person Re Identification (ReID)
Event Detection
Video Analytics
Sports Applications
Football Analytics
Basketball Analytics
Cricket Analytics
Tennis Analytics
Rugby Analytics
Baseball Analytics
Hockey Analytics
Volleyball Analytics
Swimming Analytics
Athletics Analytics
What I Build
Player Tracking Systems
Ball Tracking Systems
AI Referee Solutions
Tactical Analysis Platforms
Performance Dashboards
Match Intelligence Systems
REST APIs
Cloud & Edge AI Deployment
Complete Source Code.
Whether you need a proof of concept, MVP, or enterprise-scale Computer Vision platform, I can develop a scalable AI solution tailored to your project.
FAQ
Can you deploy the solution to the cloud or edge devices?
Yes. I can deploy solutions to cloud servers, on-premise infrastructure, NVIDIA Jetson, Raspberry Pi, and other compatible edge AI devices.
Which frameworks do you use?
Depending on your requirements, I work with OpenCV, YOLO, TensorFlow, PyTorch, MediaPipe, ByteTrack, DeepSORT, FastAPI, Docker, and related technologies.
Do you support real-time video processing?
Yes. I build systems that process live camera feeds, RTSP streams, broadcast footage, recorded videos, and edge devices.
