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Research Focus
Object DetectionComputer VisionTrajectory TrackingSports AnalyticsReal-Time AnalyticsReal-Time ProcessingDetectron2AI VisionVideo AnalysisMotion TrackingDeep Learning
Architecture
PythonDetectron2OpenCVTensorFlow
AI & Machine LearningAlpha Phase
Cricket Ball Analytics
Real-Time Cricket Ball Tracking
Innovation Overview
This project features automated ball trajectory detection with real-time path visualization. It leverages state-of-the-art object detection models, including Detectron2, EfficientDet, and RetinaNet, to accurately track the cricket ball's movement. The system is designed to perform robustly even amidst challenging conditions such as high velocity, occlusions, and varying lighting.
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