Home Portfolio AI-Powered Football Event Detection (Penalty Detection System)
Information
Industry:Sports Analytics / Broadcasting
Service Provided:Real-Time Penalty Event Detection
Tech Stack:YOLO, VGG16, LSTM, Heuristics, AWS Media Services, Grafana
Introduction of the Solution (Development)
We engineered an AI-powered system capable of detecting penalty events in football matches by combining computer vision models with temporal sequence learning.
Problem Statement
Penalty events are extremely difficult to identify because many actions appear visually similar. Traditional models generated numerous false positives, while manual review was too slow for real-time broadcasting needs.
Affected Areas
Unreliable event detection systems
High operational cost due to manual verification
Inability to use real-time analytics for live match broadcasts
Low accuracy because existing models lacked contextual understanding
Solution
A hybrid AI pipeline integrating object detection, deep feature extraction, temporal modeling, and rule-based validation to accurately detect penalty events.
How We Implemented
Frame Ingestion
using AWS Media Services
Object Detection (YOLO)
to track ball and goalpost
Feature Extraction (VGG16 CNN)
to generate spatial features
Temporal Modeling (LSTM)
to learn context and classify penalty vs. non-penalty
Post-Processing with Heuristics + GenAI Analysis
to eliminate false positives
Our solution ensures a significant reduction in false penalty detections, enhancing the accuracy of automated sports analytics. With real-time classification designed to meet broadcast-level requirements, it delivers instant insights during live events. The highly scalable architecture supports continuous streaming workloads, providing consistent performance and improved reliability for teams, broadcasters, and fans alike.
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