Overview
VisionPitch-AI is an AI-powered football tactical analysis tool for Windows 10 and 11. It processes match videos to help coaches, players, analysts, and fans examine formations, movement, spacing, and phases of play through visual outputs.
The software is designed to run locally and does not require coding or a separate Python installation. Users can load a video and have the application analyze tactical activity on the pitch.
Key Features
- Tracks player positions and movement frame by frame, assigning an identity to each detected player.
- Calibrates the pitch by mapping the video's two-dimensional view to a field model with real-world measurements.
- Recognizes team groupings and formations, including compact defensive shapes, wide attacks, and transitions.
- Produces tactical graphs and heatmaps for formations, attack routes, defensive coverage, passing, and spacing.
- Uses YOLO-based deep learning for player detection, including situations involving partial occlusion.
Video Analysis and Privacy
VisionPitch-AI supports common match-video formats including MP4, MOV, AVI, and MKV. Its generic deep-learning models are intended to analyze football footage from different competitions and broadcast sources.
Video processing and analysis remain on the user's device rather than being uploaded to a cloud service. This local workflow keeps match footage within the Windows computer running the application.
System Requirements
The recommended setup is a 64-bit edition of Windows 10 or Windows 11, an Intel Core i5 processor or AMD equivalent, and at least 8 GB of RAM, with 16 GB recommended. The application requires 1 GB of free storage, while an NVIDIA GTX 1050 or newer graphics card is suggested for stronger performance but described as optional.