MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611071946 A) filed by Nitika Thakur; Shubhima Abrol; Santoresh Kumari Dhimann; and Tinny Sawhney on June 10, 2026, for An Automated Thermal Imaging Based Deep Learning System For Monitoring Skin Health In Animals.
Inventors include Prof Pawanesh Abrol; Prof Parveen Kumar Lehana; and Ashu Sharma.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: Disclosed herein is an automated thermal imaging based deep learning system (100) for monitoring skin health in animals, the system (100) comprises a data acquisition module (102) configured to capture thermal images of an animal. The system also includes a pre-processing module (104) configured to enhance image quality. The system also includes a feature extraction module (106) configured to extract high-level thermal features. The system also includes a dual classification module (108) comprising a convolutional neural network (CNN) pathway configured to process the feature vector and a bidirectional long short-term memory (Bi- LSTM) pathway configured to process the feature vector. The system also includes a fusion and decision module (110) configured to integrate outputs from the CNN pathway and the Bi-LSTM pathway through a fully connected layer and apply a softmax activation function. The system also includes a prediction and visualization module (112) configured to output a classified thermal image.
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