Self-Learning Dual-Axis Solar Tracking System Using Artificial Intelligence
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Project Title
Self-Learning Dual-Axis Solar Tracking System Using Artificial Intelligence
Field
Renewable Energy
Brief Description
An AI-powered, self-learning dual-axis solar tracking system that intelligently adjusts panel orientation according to lighting conditions to maximize energy generation and advance more efficient renewable energy solutions.
Awards
Gold Medal – iCAN 2026 International Invention and Innovation Competition – Toronto, Canada
Department
Electrical Engineering
Year
2026
Students
Ibrahim Al-Salhi – Abdullah Al-Mazid
Supervisor
Pr. Ahmed Fathy
