A student team from the University of Technology and Applied Sciences in Shinas has developed an innovative method for identifying defects in solar panels using a drone equipped with thermal imaging technology. This advancement allows for swift analysis and resolution of defects, leading to multiple local and regional accolades, as well as opportunities to present their findings at various scientific conferences and events.
Fatma bint Mohammed Al-Maamari, a member of the team, shared that the project targets defects arising from environmental, electrical, and mechanical stresses. The drone, fitted with a thermal camera, collects data that is subsequently analyzed using sophisticated technologies, including a "Deep Learning Mod." The project evolved through stages of research, preparation, data collection, and evaluation, with a focus on enhancing the accuracy of defect detection and minimizing processing time. The team categorized solar panel images as either intact or defective, applying contrast and filtering techniques for improvement.
Mahra bint Saeed Al-Kaabi, another team member, mentioned that the prototype underwent testing on solar panels at the university. Practical experiments and modifications were carried out to optimize the model. The team then implemented the model in a real-world setting to periodically monitor solar panel performance, meticulously documenting all phases and outcomes in a comprehensive report.
Zahra bint Saleh Al-Sanani emphasized the team's ongoing efforts to merge drones with augmented reality and advanced artificial intelligence applications to further improve defect detection accuracy. They are also working on developing 3D models for enhanced visualization of defects and automating processes for defect detection and maintenance scheduling.
Sara bint Saeed Al-Saidi highlighted the importance of the project, pointing out its publication in esteemed international scientific journals such as "Energy," "Hydrogen Energy," and "IEEE Xplore." The project has been showcased at various events, including 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 achieved third place in the Royal Army of Oman’s Scientific Club competition for best innovation and was honored with the Research Excellence Award at Majan College.
