Non Invasive Method Of Varicose Vein Detection Using Raspberry Pi

13 May
Posted on Author

Authors: Keerthika.S, Sharmi.S, Yuvasree.S, Mrs.K.Deepa, Deepa.K

Abstract: Visualization of subcutaneous veins is essential for procedures such as venipuncture and intravenous injections. Conventional methods basedonvisual inspection andpalpationare often unreliable, particularly in patients with lowvenous visibility, leading to multipleinsertion attempts and discomfort.Thispaperproposesanon-invasivenear-infrared(NIR)imaging system for real-time vein visualization. The method exploits the higher absorption of infrared radiation by deoxygenated blood, allowing veins to appear with enhanced contrast. An infrared-sensitive camera captures images, which are processed using grayscale conversion, contrast enhancement, and edge detection techniques. The proposed system is low-cost, portable, and user-friendly, making it suitable for clinical assistance and preliminary venous assessment. Experimental results demonstrate the effectiveness of NIR imaging for accurate vein detection..

DOI: https://doi.org/10.5281/zenodo.20151385