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

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Haitham Saeed Alshunayni
AE
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Mohammed Ali Alhazmi
AE
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Abdullah Ayed Alosaimi
EE
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Ahmed Ali Alqarni
ICS
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Aseel Abed Altowairqi
ME
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Hassan Yahya Qaysi
ME

Team Coach

Dr. Ammar Ayad Alzaydi
Dr. Ammar Ayad Alzaydi
Assistant Professor

Department of Mechanical Engineering