MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641051651 A) filed by Cvr College Of Engineering, Hyderabad, Telangana, on April 23, for 'ai-driven multimodal canine health monitoring and disease classification system using behavioral, physiological, and vision-based biomarkers.'
Inventor(s) include Chandrika Saxena.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The system integrates data obtained from sensors to capture vital signs, posture, gait, activity patterns and visible health indicators in dogs. Advanced deep learning models analyze data over time to identify abnormal patterns based on the dog's breed and age specific baselines. The system classifies multiple canine disease conditions, estimates severity levels, and generates initial warning alerts prior to observable clinical symptoms. In conventional monitoring systems, this invention enables noninvasive, continuous, and clinically relevant disease prediction with explainable outputs for both veterinarians and caregivers. The system supports remote monitoring, personalized health profiling, and scalable deployment for preventive veterinary health care."
Disclaimer: Curated by HT Syndication.
