MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641064099 A) filed by Chennai Institute Of Technology on May 21, 2026, for A Real-Time Intelligent Medicinal Plant Identification System For Kidney Stone Therapeutic Support Using Edge-Optimized Deep Learning.
Inventors include E. Dilliraj; K. Kirubasankar; V. Prem Sangeeth; and A. Swathi.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: Title: A REAL-TIME INTELLIGENT MEDICINAL PLANT IDENTIFICATION SYSTEM FOR KIDNEY STONE THERAPEUTIC SUPPORT USING EDGEOPTIMIZED DEEP LEARNING 10 15 This invention relates to a real-time intelligent medicinal plant identification system for kidney stone therapeutic support using edge- optimized deep learning. It typically includes an Image Acquisition Module (1), a Pre-processing Pipeline (2), a Data Augmentation Module (3), an Edge-Optimized Deep Learning Module (4), an Explainable Al (XAI) Module (5), a Therapeutic Knowledge Database (6), a Patient Clinical Input Module (7), a Therapeutic Mapping Engine (8), a Preparation Guidance Module (9), and a User Interface Module (10). This system provides an offline, lowlatency solution for identifying medicinal plants in resource-constrained environments, ensuring safe and personalized kidney stone therapeutic support through explainable Al and clinical data integration. This system is designed for deployment in remote clinical settings, community-based health monitoring, and personalized home-care environments to provide instant, offline identification of therapeutic herbs and evidence-backed guidance for kidney stone management 20 Figure 1. Shows the architecture of the proposed explainable Al-based plant identification system deployed on a Jetson Nano edge device.
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