TAF PUBLISHING

Venipuncture is a common practice performed in medical institutions. It now relies on the well-trained medical staff. The work is inherently risky, requiring skills, experience, and a high degree of focus to avoid discomfort or even danger to the staff themselves or the patients. The proper insertion point for venipuncture is sometimes difficult to recognize. In recent years, many applications of machine vision and image processing technologies have been used to help physicians, nurses, and other medical practitioners determine the patients' physical conditions, make the appropriate diagnosis, and reduce fatigue or other human factors causing misdiagnosis. In this paper, the implement machine vision technologies to assist the recognition of venipuncture insertion points is studied. Two industrial CMOS cameras are used with an infrared light source. The two cameras are placed apart and tilted at a certain angle relative to each other to achieve the stereo vision of the arm. Light filters are also installed on the lens of the two cameras. The cameras are calibrated beforehand to eliminate distortion. Two images of the arm, one by each camera, are captured. The images are then processed through image binarization and morphological algorithms. Afterimage processing, the best needle insertion position, puncture depth, and angle are determined. The developed system can improve the efficiency of venipuncture, and reduce the risk to medical staff and patients.