Dates: 2024
Principal Investigator: Dr. Abdul Jabbar Siddiqui
Description:  The proposed research focuses on developing computer vision and deep learning approaches for real-time detection of Unmanned Aerial Vehicles (UAVs). With concerns rising about UAV-related risks in civilian and military contexts, automated detection methods are crucial for detecting unauthorized UAVs near sensitive areas. By leveraging vision-based systems, the research aims to address key limitations in existing methods, particularly in adverse conditions like extreme weather. Activities include reviewing current literature, evaluating deep learning-based detection methods, and exploring novel approaches to enhance state-of-the-art object detection models for multi-scale UAV detection. The research aligns with Saudi Vision 2030 by contributing towards enhancing national security, localizing technology, and fostering local capacity building. Ultimately, the project aims to contribute to harmonizing airspace management, ensuring safety in aviation operations, and mitigating potential security threats posed by UAVs.