Portfolio/Football Analytics
Computer VisionComputer VisionFeaturedFeatured Project

Football Analytics

A sophisticated computer vision system for analyzing soccer matches from video files. The platform detects, tracks, and visualizes player and ball movements in real-time, producing rich visualizations including radar diagrams and Voronoi territory maps. It uses advanced ONNX models for player detection, ball tracking, and field detection.

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Project Duration

Dec 2024 — Dec 2024

Client

Sports Analytics ClientNDA

Key Features

Real-time player detection and tracking
Ball movement analysis
Team formation visualization
Radar and Voronoi diagrams
Multi-page video processing
Custom team configuration

Technology Stack

PythonYOLOONNXOpenCVDeep LearningComputer Vision

Project Metrics

95%
accuracy
30+
fps
2
teams

Search Demand

This project matches active search interest around these topics. Use it as a reference point when discussing similar work with XSOLAI.

computer vision portfolio projectslatest computer vision projectsSports Analytics

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