Weggerlens

WaggerLens is an AI-powered soccer match analysis platform designed to transform raw match videos into meaningful team and player insights. The platform enables users to upload soccer match footage and receive AI-generated analysis, including possession insights, shot maps, player ratings, and tactical observations.

The solution focuses on automating the traditionally time-consuming process of reviewing match footage by combining computer vision, object tracking, video processing, and AI-generated reporting.

• Match Video Upload
  A simple video upload system that allows users to submit soccer match footage for automated AI-based analysis.
• AI-Powered Video Analysis
  The platform processes uploaded match videos and extracts meaningful information using computer vision and AI technologies.
• Object Detection
  YOLO-based object detection is used to identify relevant objects and activities within video frames.
• Player Tracking
  Object tracking technology helps follow players and other relevant match elements across multiple video frames, enabling more detailed activity and movement analysis.
• Team Analysis
  The platform generates team-level insights based on the processed match data, including possession analysis, match activity, and tactical observations.
• Player Performance Analysis
  Individual player analysis provides performance-related insights and supports the generation of player ratings and activity-based observations.
• Shot Maps and Match Insights
  The system converts processed match data into visual and structured insights, including shot maps and other relevant match information.
• AI-Generated Reports
  Structured data collected during video analysis is processed through an AI layer to generate understandable reports and observations for teams and individual players.
• Background Video Processing
  Video analysis is handled through background processing to prevent computationally intensive tasks from blocking the main application and to improve overall system performance.
• Scalable Processing Architecture
  The platform separates the web application and API layer from the heavy video analysis workflow, creating a scalable architecture for processing multiple match videos.

• Provided an automated platform for analyzing soccer match videos.
• Reduced the need for manual review of long match recordings.
• Generated team and player-level insights from raw video footage.
• Combined computer vision, object detection, tracking, and AI-generated reporting into a single workflow.
• Enabled the generation of insights such as possession analysis, shot maps, player ratings, and tactical observations.
• Created a scalable foundation for future expansion into advanced sports analytics and additional performance metrics.