MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202521130648 A) filed by Symbiosis International, Pune, Maharashtra, on Dec. 23, 2025, for 'system and method for automated dust detection in solar photovoltaic panels using convolutional neural networks.'
Inventor(s) include Dr. Shreyas Rajendra Hole.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "A computer-implemented system for automated dust detection in solar photovoltaic panels using deep learning is disclosed. The system comprises a memory, a processor coupled to the memory, an image acquisition module configured to collect solar panel image data from multiple sources, a data preprocessing module configured to generate standardized image inputs through resizing, format conversion, and pixel normalization operations, and a data augmentation module configured to apply transformation techniques including horizontal flips, rotations, zoom operations, shifts, shear transformations, and brightness modulations to generate an expanded training dataset. The system further comprises a convolutional neural network module implementing deep learning architectures with multiple convolutional layers configured to classify images into clean and dusty categories through hierarchical feature extraction, a model training module configured to train the neural network using weighted loss functions that apply class weights computed from training data distribution to address class imbalance."
Disclaimer: Curated by HT Syndication.
