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English
$
USD
I will build live IP camera sports analytics and real time player tracking
About this Gig
Want to turn a live IP camera into a real-time sports intelligence system? I build custom live-camera computer vision pipelines for player detection, tracking, team identification, movement analysis, and sports analytics.
The system can receive an RTSP or IP camera stream, process frames continuously, detect players and relevant objects, maintain player identities across frames, and display live overlays with IDs, boxes, trails, counts, and selected metrics.
Depending on your sport and footage, I can also add ball tracking, heatmaps, movement trajectories, player statistics, event detection, and structured data export.
This service is designed for sports clubs, training centers, facilities, sports-tech startups, researchers, and developers who already have camera hardware and need an AI layer on top of it.
Instead of selling a generic CCTV detector, I build the pipeline around your specific sport, camera view, tracking requirements, and business or research objective.
I can use YOLO, OpenCV, Python, multi-object tracking, pose estimation, and custom models as required.
FAQ
What type of IP camera information do you need?
Ideally, I need the camera model or stream specifications, resolution, FPS, codec, RTSP availability, camera position, viewing area, and the type of sports analytics you want. These details determine the most suitable architecture.
Can you build the system for a camera at a stadium or training facility?
Yes. The system can be designed for sports facilities, but camera placement is critical. A high or wide camera view may be useful for tracking, while an unsuitable angle can create occlusion and identity-switch problems.
Can the system output the tracking data for another application?
Yes. The tracking pipeline can produce structured information such as player IDs, positions, timestamps, events, and selected metrics. Depending on your requirements, the data can be exported or integrated with another application.
