MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641042511 A) filed by Nitte, Mangaluru, Karnataka, on April 2, for 'mobile deep learning system for medicinal plant identification with multilingual interpretation and toxicity awareness.'
Inventor(s) include Dr. Keerthana B Chigateri; and Samantha Florence Pereira Prabhu.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "Disclosed herein is a mobile deep learning system (100) for medicinal plant identification comprising a user interface (102) integrated into a user device (104), an image acquisition unit (106), a communication network (108), and a processing unit (110) configured to perform knowledge-infused plant identification. The processing unit (110) comprises an input module (112), a preprocessing module (114), a classification module (116) executing a lightweight convolutional neural network for species recognition, a knowledge integration module (118) mapping classification outputs to a structured herbal knowledge base, a multilingual interpretation module (120) generating region-specific medicinal descriptions, a safety awareness module (122) producing automated toxicity alerts and contraindication warnings, an on-device inference module (124) enabling real-time offline operation, a continuous learning module (130), and an output module (126). A database (128) stores medicinal plant records, toxicity profiles, and multilingual descriptors."
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