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I will develop a custom cctv ai football video analysis system with computer vision
Turn your CCTV and sports footage into real time AI tracking camera analytics
Do you have CCTV or sports video but struggle to turn it into useful data, tracking, or real time alerts? I build custom AI computer vision systems that solve these problems. I specialize in live spor...
About this Gig
Are you collecting football footage but still relying on manual review to understand player movement, ball activity, and match behavior?
I develop custom AI football video analysis systems that transform CCTV, camera footage, or recorded matches into structured computer-vision data.
The solution can be designed for clubs, academies, coaches, scouting teams, sports tech startups, researchers, and football analytics platforms.
What I will do:
- Process your football CCTV, camera, RTSP, or recorded match footage.
- Detect and track players throughout the match.
- Detect and track the football when visibility allows.
- Classify teams using suitable visual features such as jersey appearance.
- Calculate requested movement, positioning, and spatial analytics.
- Create visual overlays, trajectories, heatmaps, or event-focused outputs.
- Build and document the custom computer vision pipeline for your intended workflow
Send me your football footage or project requirements.
FAQ
Can you analyze live football CCTV as well as recorded matches?
Yes. I can design the system for recorded video or suitable live streams such as CCTV/IP camera or RTSP sources. Live processing has additional requirements around latency, hardware, stream stability, and camera placement.
Can the system track both players and the football?
Yes, both can be included. Performance depends heavily on ball size, camera resolution, occlusion, lighting, camera angle, and whether the ball remains visible. I can evaluate the footage and choose an appropriate approach.
Can you create football specific analytics rather than just bounding boxes?
Yes. The project can be designed around higher level football objectives such as player movement, team positioning, heatmaps, trajectories, ball activity, and other measurable events that can be reliably inferred from your footage.
