MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641075889 A) filed by Hindusthan Institute Of Technology on June 19, 2026, for Diabetic Foot Ulcer Stage Detection And Classification Using Matlab And Iot.

Inventors include Dr. C. Natarajan; Dr. K. Mahendrakan; Dr. B. Paulchamy; Dr. C. Kalamani; Akalya R M; Delsha Stanley; Irfana J; and Lathika D.

The application for the patent was published on July 03, 2026, under issue no. 27/2026.

Abstract: Diabetic foot complications are among the most serious health issues faced by individuals with diabetes, often leading to ulcers, infections, and in severe cases, limb amputation if not detected at an early stage. Early diagnosis and continuous monitoring are essential to prevent such . complications. However, traditional clinical examination methods primarily depend on visual inspection by physicians, which can be subjective and may result in delayed or inconsistent detection of wounds. To overcome these limitations, this project proposes an automated system for the detection and analysis of diabetic foot ulcers using digital image processing techniques. The system is designed as an intelligent support tool to assist physicians by providing accurate, consistent, and reliable analysis of foot images. It aims to improve diagnostic efficiency while reducing dependence . on manual observation. The proposed system processes foot images through key stages such as resizing, color space conversion, and Gabor filtering to enhance important features. A Region of ยท Interest (ROI) is identified to focus on potential ulcer areas, followed by segmentation techniques to separate wound regions from healthy skin. A sensitivity adjustment parameter is also included to improve detection accuracy under varying conditions. Experimental results on trial images demonstrate that the system effectively identifies both the presence and location of diabetic foot ulcers. The main contribution of this project lies in the development of an automated evaluation system that supports early detection and clinical decision-making. By enabling faster and more accurate diagnosis, the system has the potential to reduce severe complications and improve the. overall management of diabetic foot conditions.

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