Sakshi Ranade, Pratiksha Shetty, Kashish Yadav and Mita Bhowmick
Vein detection for venepuncture and biometrics is one of the most researched biomedical techniques. Problems faced in accessing veins by physicians and nurses to administer intravenous drugs make non-invasive vein detection the need of the hour. This project works on the principle of absorbance of infrared (IR) light by veins and its diffusion to surrounding tissues which makes the vein appear darker when viewed through an IR sensitive camera. One of the challenges faced while implementing this system is to make an efficient system for image acquisition and image processing at low cost. Thus, a customized sensitive camera is used to cut down the cost. This paper presents a vein detection device that uses IR light for illuminating the localized area, a modified camera for capturing images, and an image processing software. Image processing to enhance the visibility of veins is done using MATLAB.
MATLAB, Near Infrared sensors, Venepuncture, Vein detection.