MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202621057014 A) filed by Prof. Surabhi Kakade; Hemant Nagalkar; Ishika Jitendra Golecha; Gaurang Pradeep Gulhane; Vedant Jagdish Hatekar; Nikhil Baba Jadhav; and Janhavi Shirish Deo on May 05, 2026, for Solariq: Ai-Powered Rooftop Solar Analysis And Defect Detection System..
Inventors include Prof. Surabhi Kakade; Hemant Nagalkar; Ishika Jitendra Golecha; Gaurang Pradeep Gulhane; Vedant Jagdish Hatekar; Nikhil Baba Jadhav; and Janhavi Shirish Deo.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention, SolarlQ, discloses an artificial intelligence-based system for automated rooftop solar assessment and solar panel defect detection using image processing and deep learning techniques. The system utilizes Convolutional Neural Networks (CNNs) to analyze user-provided rooftop or solar panel images, enabling accurate identification of usable installation areas, detection of obstructions, and classification of panels into defective and non-defective categories. The invention incorporates image preprocessing methods such as resizing and normalization to ensure consistent model input, followed by real-time inference through a backend API architecture. Additionally, the system estimates solar installation capacity by calculating the number of panels that can be deployed and predicting potential energy generation. Integrated with a web-based interface and cloud storage, the solution provides a scalable, cost-effective, and user-friendly platform that minimizes manual effort, enhances decision-making, and promotes efficient adoption and maintenance of solar energy systems.
Disclaimer: Curated by HT Syndication.
