Video Computer Vision

Manual video tagging takes hours. We engineer machine learning pipelines utilizing OpenCV and custom neural networks to automatically track players, ball trajectories, and tactical events directly from raw camera feeds.

Architectural Features

• Automated Event Tagging: Deep learning models trained to recognize specific actions (shots, passes, interceptions), outputting a JSON timeline synchronized with the video player.
• Player Tracking (Optical Flow): Using YOLO object detection algorithms to track skeletal movements and generate spatial heatmaps without the need for wearable GPS hardware.
• Video Rendering Engines: Server-side FFMPEG integrations to automatically render and clip tactical overlays and spotlight graphics onto exported highlight reels.