Understanding Crowd Analytics Through Real-World Examples

Crowd analytics refers to the collection and analysis of large datasets relating to human crowds and crowd behavior. It utilizes technologies like computer vision, machine learning, sensor data analysis and more to derive insights from how people gather and act together in public spaces. Some key aspects of crowd analytics include density measurement, flow analysis, tracking of individuals or groups, emotion detection and forecasting of crowd movement and behavior patterns.

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