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Fiverr Pro
English
$
USD
I will develop live sports analytics and real time player tracking with ai
About this Gig
Need live sports data from a camera feed instead of manually reviewing match footage? I build AI powered live sports analytics systems that detect and track players in real time from live or recorded video.
The solution can turn raw footage into structured sports data such as player locations, movement paths, team identification, player counts, speed estimates, distance covered, heatmaps, and event based metrics, depending on your sport and footage.
I can build the computer vision pipeline around YOLO, OpenCV, tracking algorithms, pose estimation, or custom models when your requirements need more than an off the shelf detector. The system can display tracked players with IDs, bounding boxes, trails, labels, and real time analytics overlays.
This service is suitable for football/soccer, basketball, tennis, training analysis, scouting, performance analysis, sports-tech products, and research projects.
Depending on the package, deliverables can include customized models, inference code, tracking logic, analytics outputs, visualization components, documentation, and deployment guidance.
FAQ
Can you analyze a live CCTV or camera stream instead of uploaded video?
Yes. I can build the system around compatible live streams, including suitable RTSP/IP camera sources. The exact architecture depends on your camera output, resolution, frame rate, network setup, and required processing speed.
What sports can you support?
I can work with sports where players and relevant objects can be reliably observed in the available video. Football/soccer, basketball, tennis, and training footage are examples. The analytics are designed around your specific sport and camera perspective.
What do you need from me before development?
I need your sport, target analytics, sample footage or camera specifications, number of cameras, expected real-time performance, and preferred output. A short sample helps determine tracking feasibility before implementation.
