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Effective crowd management is essential for ensuring safety, security, and a positive experience in public spaces. This research presents a novel approach to crowd management using Artificial Intelligence (AI) and a mobile application. Our system leverages the power of YOLO (You Only Look Once), LSTM (Long Short-Term Memory), and CNN (Convolutional Neural Network) models to provide real-time crowd density estimation, predictive crowd flow analysis, and anomaly detection. The mobile application integrates these AI-powered features to provide users with valuable information and timely alerts. The proposed system offers a comprehensive solution for crowd management, addressing the challenges of safety, efficiency, and user experience. By combining AI-driven insights with a user-friendly mobile application, we aim to improve the overall experience for both event organizers and attendees.

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AI-Driven Crowd Management and Effective Communication System

  • 会议论文

  • 发表日期：

    2026年

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  • A. Yasaswi,
  • N. Fathima Sana,
  • V. Harshitha

摘要

Effective crowd management is essential for ensuring safety, security, and a positive experience in public spaces. This research presents a novel approach to crowd management using Artificial Intelligence (AI) and a mobile application. Our system leverages the power of YOLO (You Only Look Once), LSTM (Long Short-Term Memory), and CNN (Convolutional Neural Network) models to provide real-time crowd density estimation, predictive crowd flow analysis, and anomaly detection. The mobile application integrates these AI-powered features to provide users with valuable information and timely alerts. The proposed system offers a comprehensive solution for crowd management, addressing the challenges of safety, efficiency, and user experience. By combining AI-driven insights with a user-friendly mobile application, we aim to improve the overall experience for both event organizers and attendees.