MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122163 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 4, 2025, for 'machine learning framework for wildfire detection using synthetic data augmentation.'
Inventor(s) include Dr. Gunavathi C; Mr. Subhayan Sinha; and Mr. Joydip Talukder.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure provides a machine learning system for wildfire detection that includes a data 5 collection module configured to acquire satellite imagery from wildfire-prone regions, a synthetic data generation module having a Generative Adversarial Network (GAN) configured to generate synthetic fire images to augment training datasets, a preprocessing module configured to process the acquired imagery and synthetic fire images, and a deep learning classification 10 module having a convolutional neural network configured to classify images as fire or non-fire based on visual features. The GAN addresses class imbalance between fire and non-fire images. The system may further include an IoT integration module configured to receive real-time environmental data from sensors, a predictive analytics module having machine learning algorithms configured to analyze 15 historical fire data to identify high-risk zones and forecast fire outbreaks, and a cloud-based alert system configured to automatically generate notifications when fire conditions are detected."
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