Term 242
Autonomous Surveillance Drone for Detection and Net-Based Interception of UAVs
Project Type: Self-Initiated
Project Description
The widespread availability of commercial drones poses a growing risk to critical infrastructure and secure airspaces. Traditional detection methods are slow or prone to false alarms, and most interception techniques are either destructive or unreliable. Our project offers an autonomous, non-destructive solution that enhances airspace security through intelligent surveillance and net-based drone capture.
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Project Team
Haitham Saeed Alshunayni
AEMohammed Ali Alhazmi
AEAbdullah Ayed Alosaimi
EEAhmed Ali Alqarni
ICSAseel Abed Altowairqi
MEHassan Yahya Qaysi
METeam Coach
Dr. Ammar Ayad Alzaydi
Assistant ProfessorDepartment of Mechanical Engineering