Gautam Solar has filed a patent for its innovative Artificial Intelligence (AI)-based system designed to detect defects in solar panels.
This system integrates advanced imaging and AI technologies to improve the efficiency and precision of defect detection in photovoltaic cells, setting a new benchmark in the solar industry.
The patent, titled “AI-Based System for Detecting Defects in Solar Panels,” combines electroluminescence (EL) and visual imaging to provide real-time, comprehensive defect analysis.
The system captures high-resolution EL images via an infrared camera and processes them using machine-learning algorithms, displaying defect labels for immediate identification and corrective action.
It addresses the limitations of conventional methods, reducing human error and enhancing production efficiency by automating the defect detection process.
The AI-powered software is trained with a comprehensive database of stored images, enabling accurate defect identification. The system detects a range of issues, including micro-cracks, broken cells, dry soldering, latent defects, black borders, scratches, and non-functioning cells, ensuring robust analysis at both pre and post-production stages.
Gautam Solar’s Director, Gautam Mohanka, emphasized that this AI-powered system will transform quality control in solar manufacturing, ensuring higher reliability and performance for Technically Advanced Modules™ while reducing production inefficiencies.