Term 242

GeoVision: Buried Objects Detection System

Project Type: Self-Initiated

Project Description

GeoVision is an advanced Ground Penetrating Radar system that improves subsurface exploration by offering a remotely controlled system with advanced machine learning algorithms to detect and classify the buried objects. Traditional GPR systems rely on manual operation and lack modern technological integration, limiting their effectiveness in subsurface exploration. There is a need for an automated, AI-enhanced GPR system for better detection and classification of buried objects.


Download Poster

Project Team

default
Abdulmalek Ussif Gadi
EE
default
Ahmad Abdulrahman Al Jamalullayel
EE
default
Abdulaziz Mohammed Alamoudi
ICS
default
Alqasem Faisal Alojayen
ISE
default
Faisal Ayidh Alsulami
ME
default
Osama Ali Assiri
ME

Team Coach

Dr. Moayad Alnammi
Dr. Moayad Alnammi
Assistant Professor

Department of Information and Computer Science