MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641123055 A) filed by Jayaraju Gaddala on October 14, 2026, for Explainable Ai System For Real-Time Wound Assessment And Classification Using Raspberry Pi 5.
Inventors include Sreechandra Swarna; Dr. G. Joel Sunny Deol; Dr. Ch. Sita Kumari; Dr. B. Siva Lakshmi; T. Sai Sindhuja; Gunda Sri Lakshmi; Andluru Aparna; and Dr. G. Jaya Raju.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: ABSTRACT EXPLAINABLE AI SYSTEM FOR REAL-TIME WOUND ASSESSMENT AND CLASSIFICATION USING RASPBERRY PI 5 A system (100) for real-time wound assessment and classification uses a Raspberry Pi 5 single-board computer as a local processing unit (104). An image acquisition unit (102) supplies still images or video frames of a wound. The processing unit screens each image for suitability and preprocesses it by resizing, normalization, illumination correction, noise reduction and wound-region selection. A trained machine-learning model (108) assigns a wound assessment category and a confidence value. An explainability unit (110) produces a heat map, saliency map or highlighted region showing the image areas that influenced the result. A display unit (112) presents the wound image, category, confidence value and visual explanation together, and a storage unit (114) keeps selected outputs with timestamps for later comparison. Because all analysis runs locally, continuous cloud connectivity is not required. The system is a decision-support aid for qualified healthcare professionals and does not replace clinical diagnosis. FIG. 1
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