• Chaithra Kulal
• Dheeraj
• Meghana R Bhat
• Neema B Shetty
• Nagaraja Rao

Diabetes mellitus is a serious global health concern that can lead to various complications, including foot ulcers which are particularly severe. Early detection and prevention of foot-related issues in diabetic patients are crucial to reduce the risk of amputations and other complications. Although plantar pressure distribution analysis is an effective tool for identifying these issues, commercially available systems can be expensive since these methods uses sensors and have data linkage constraints. To address these limitations, this project proposes an alternative method for detecting foot pressure points and dimensions using image processing. The approach involves capturing a complete image of the foot through a camera and extracting the necessary data, such as pressure points and foot dimensions. The challenges associated with obtaining accurate images and precise pressure points are discussed, and the relevance of this work for monitoring foot health in diabetics is emphasized. By detecting foot-related problems early, healthcare providers can take the necessary measures to prevent serious complications. Overall, this project has significant implications for detecting foot-related problems early and reducing the risk of diabetic foot problems.

Digital Image Processing, KNN Algorithm, Pressure Point, Foot Dimension, Edge Detection

"Detection of Pressure Points on Diabetic Foot", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.g307-g314, May-2023, Available :http://www.jetir.org/papers/JETIR2305644.pdf

"Detection of Pressure Points on Diabetic Foot", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppg307-g314, May-2023, Available at : http://www.jetir.org/papers/JETIR2305644.pdf