A student team from the University of Technology and Applied Sciences in Shinas has created a new method for solar panel defect detection using drones. The drone, equipped with thermal imaging, quickly identifies defects in solar panels. As a result, this innovation has earned the team several awards and invitations to present at scientific conferences.
Fatma bint Mohammed Al-Maamari, a team member, explained that their project detects defects caused by environmental, electrical, and mechanical stress. Specifically, the drone’s thermal camera captures data, which the team processes with advanced technologies like “Deep Learning Mod.”
The project followed a structured process with research, data collection, and evaluation. In particular, the team aimed to improve detection accuracy and reduce processing time. Additionally, they categorized solar panels as intact or defective, applying contrast and filtering techniques.
Mahra bint Saeed Al-Kaabi, another team member, shared that they tested the prototype on university solar panels. Through experiments, they refined the model and then deployed it to monitor solar panel performance. Furthermore, they documented each stage in a detailed report.
Zahra bint Saleh Al-Sanani noted that they are integrating drones with augmented reality and AI to boost defect detection accuracy. In addition, they are also creating 3D models for better defect visualization and automating maintenance schedules.
Sara bint Saeed Al-Saidi emphasized the significance of their project’s publication in top journals like “Energy,” “Hydrogen Energy,” and “IEEE Xplore.” They also presented their work at events such as the Oman Science Festival. Notably, the team also won third place in the Royal Army of Oman’s Scientific Club competition for best innovation.
The team’s method for solar panel defect detection using drones can improve solar panel maintenance. It could, in turn, make solar energy systems more reliable and cost-effective. Indeed, this new approach to solar panel defect detection using drones shows great promise for the future of solar energy.
