Ru’ya: A Lightweight AI Model for UAV-Based Crowd Detection and Monitoring

The Ru’ya Drone Project focuses on developing an intelligent lightweight UAV-based system capable of performing real-time crowd detection and density estimation using artificial intelligence (AI) and computer vision techniques. The project integrates drone technology with advanced deep learning models such as TensorFlow and PyTorch to enhance public safety, surveillance efficiency, and situational awareness in large gatherings. The system captures aerial footage through onboard cameras, preprocesses the data, and applies AI models to identify and analyze crowd behavior dynamically. A user-friendly interface allows real-time monitoring, while cloud integration ensures efficient data management and scalability. This project contributes to the growing field of AI-driven autonomous systems and aligns with Saudi Vision 2030, promoting smart technologies for safety and urban management. The results demonstrate the potential of combining UAV platforms with AI to achieve accurate, adaptable, and reliable crowd monitoring solutions for real-world applications\footnote{Github Code: \url{https://lnkd.in/gEt9JZXZ}}.