I will build ai tennis analytics with ball tracking and player detection

S
shahfaisal80678
S
shahfaisal80678
SHAH FAISAL
Sommige informatie wordt in het Engels weergegeven.

Over deze dienst

Turn your tennis footage into useful player, ball, and court analytics.

I will develop a custom tennis video analysis system using Python, PyTorch, OpenCV, and deep learning.

Depending on your package, features include:

Tennis ball detection and tracking

Player detection and tracking

Ball trajectory visualization

Court detection and homography

Player positions on a tactical minimap

Bounce detection and estimated IN/OUT classification

Shot speed estimation where footage supports measurement

Annotated video and CSV analytics export

All packages include source code and setup instructions for one agreed camera setup using recorded singles footage.

Results depend on resolution, frame rate, camera angle, motion blur, and occlusion. Speed estimates require suitable calibration and motion assumptions. IN/OUT predictions are analytical estimates, not certified officiating decisions.

Custom training, doubles support, live integration, and additional camera setups are quoted separately.

Please send a sample video before ordering so we can confirm feasible features, scope, and delivery time.

Maak kennis met SHAH FAISAL

SHAH FAISAL

Computer vision enginner and Deep learnng expert

  • Afkomstig uitPakistan
  • Lid sindssep 2026
  • Gem. reactietijd1 uur
  • Talen

    Engels
I am a Computer Vision Engineer at NeuViTechnology and a Computer Science graduate from Iqra University (2022). I specialize in deep learning, object detection, segmentation, tracking, pose estimation, behavior analysis, and Vision-Language Models. My work spans research, dataset development, model training, optimization, and real-time deployment across surveillance, retail, traffic, and medical imaging. I bridge AI research and production engineering to build accurate, efficient, and scalable systems that solve real-world problems.

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