Research Project:
This research aims to develop an innovative Sat-AI model to address critical sustainability challenges in Saudi Arabia. Utilizing high-resolution satellite imagery and advanced AI techniques, the project focuses on key environmental issues such as water scarcity, coastal erosion, natural disaster impacts, desertification control, and sustainable infrastructure planning. The integration of satellite technology and AI provides decision-makers with actionable insights to support Saudi Vision 2030's goals of sustainable development and environmental preservation.
Expected Outcomes & Key project goals include:
This is a senior design project aimed at providing a practical, hands-on experience in space technology for students and educators. The primary goal is to design a cost-effective CubeSat and its associated ground station for educational purposes, allowing students to engage in satellite development, operations, and communications on a limited budget.
The project focuses on the development of a low-budget CubeSat. The CubeSat will serve as an educational tool for students, allowing them to learn about satellite systems, radio communications, and space operations. The project will be hardware-based, meaning the focus is on the design, assembly, and testing of physical components, as well as the integration of these components into a functional satellite and ground station setup. The project is developed by a faculty member of college of engineering at Qassim University with a group of senior students.
The project’s primary aim is to provide an educational platform for students. By building the CubeSat and ground station, students are learning about:
It is a senior design project focused on creating a crucial component for a CubeSat, a type of miniature satellite. The 1U CubeSat is a small, standardized satellite unit measuring 10x10x10 cm, often used for space research and technological experimentation. One of the most critical systems in a CubeSat is its Electrical Power System (EPS), which is responsible for managing and distributing electrical power generated by solar panels and stored in batteries to the satellite's various subsystems.
This project involves designing and implementing a solar battery charge converter—a key component of the EPS that converts solar energy captured by the satellite's solar panels into a usable form to charge the onboard batteries. The system must be highly efficient and reliable to ensure continuous power supply to the satellite's mission-critical components, even in the harsh environment of space. The project is developed by a faculty member of college of engineering at Qassim University with a group of senior students.
Expected Outcomes:
The successful implementation of the solar battery charge converter will enable the CubeSat to:
Design and Implantation of a Robust Anti-Spoofing System for Vehicle Gate Access Using Recent Artificial Intelligence Techniques
Thamer Alghonaim, Muhannad Alsultan, Faisal Alsakakir, Bandar Alwazzan, and Abdullah Alhassan
This project introduces an advanced AI-based system to enhance security and streamline vehicle access at facility gates in Saudi Arabia. Using cutting-edge computer vision and machine learning techniques, the system automates vehicle detection, Saudi license plate recognition, and facial identification, cross-referencing each data point with a secure database to verify access eligibility. The final access decision is made using a linear Support Vector Machine (SVM) model, ensuring robust anti-spoofing capabilities.
This AI-driven system not only enhances security but also offers a scalable and efficient solution for modernizing facility access control, showcasing the power of AI to revolutionize secure access management.
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