Muscat:
A student team from the University of Technology and Applied Sciences in Shinas has created an innovative technique for detecting defects in solar panels using a drone equipped with thermal imaging. This technology enables rapid defect analysis and resolution, earning the team numerous local and regional awards, as well as presentations at various scientific conferences and events.
Fatma bint Mohammed Al-Maamari, a team member, explained that the project addresses defects caused by environmental, electrical, and mechanical stress. The drone, carrying a thermal camera, gathers data which is then processed using advanced technologies, including a “Deep Learning Mod.” The project progressed through research, preparation, data collection, and evaluation stages. The team focused on improving defect detection accuracy and reducing processing time, categorizing solar panel images as intact or defective, and enhancing them with contrast and filtering techniques.
Mahra bint Saeed Al-Kaabi, another team member, noted that the prototype was tested on solar panels at the university. Practical experiments and adjustments were conducted to refine the model. The team then deployed the model in a real-world environment to monitor solar panel performance periodically, documenting all stages and results in a detailed report.
Zahra bint Saleh Al-Sanani highlighted the team’s ongoing work to integrate drones with augmented reality and advanced artificial intelligence applications to further enhance defect detection accuracy. They are also developing 3D models for better defect visualization and automated processes for defect detection and maintenance scheduling.
Sara bint Saeed Al-Saidi emphasized the project’s significance, noting its publication in prestigious international scientific journals, including “Energy,” “Hydrogen Energy,” and “IEEE Xplore.” The project has been presented at events such as the Oman Science Festival, the Second International Conference on Computing and Data Analysis, the Sixth International Gas Conference at Qatar University, and the Fifteenth International Conference on Hydropower Production at the University of Sharjah in the UAE. The team earned third place in the Royal Army of Oman’s Scientific Club competition for the best innovation and received the Research Excellence Award at Majan College.
