MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202621003570 A) filed by Mr. Khan Hamiz Afzal Mr. Noman Bhimani; Ms. Chetana Ravindra Khairnar; Mr. Shaikh Aman Enamul Haque; Mr. Sandeep G. Shukla; and Mr. Akshay R. Jain, Nashik, Maharashtra, on Jan. 13, for 'a system and a method for handheld, adaptive and confidence-governed skin disorder analysis.'
Inventor(s) include Mr. Khan Hamiz Afzal; Mr. Noman Bhimani; Ms. Chetana Ravindra Khairnar; Mr. Shaikh Aman Enamul Haque; Mr. Sandeep G. Shukla; and Mr. Akshay R. Jain.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure relates to a system and method for handheld skin disorder analysis designed to facilitate dependable, offline, and point-of-care dermatological diagnosis. The system combines a camera-based skin image acquisition unit with adaptive illumination control, image quality control, and edge-based artificial intelligence processing. Captured skin images are dynamically optimized at the hardware level to ensure even lighting and clear diagnosis before inference. A dual-path convolutional neural network is used to carry out a quality-gated and confidence-regulated classification process. This makes it possible to accurately tell the difference between skin conditions that look alike while avoiding outputs that are unsafe or unreliable. The system also has temporal feature-level memory for long-term evaluation and power-aware optimization to make sure it works well in environments with limited resources. The disclosed method and system collectively mitigate the technical constraints of traditional diagnostic methodologies by regulating image acquisition, inference execution, and diagnostic decision-making in a closed-loop system. The present invention offers a tangible, portable, and economical solution suitable for implementation in rural clinics, primary healthcare centers, and field environments deficient in specialized dermatological infrastructure."
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