Design and implementation of a vein detection system for improved accuracy in blood sampling

Omar Boutalaka; Achraf Benba; Sara Sandabad

doi:10.35784/iapgos.6759

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Published: Mar 31, 2025

DOI: https://doi.org/10.35784/iapgos.6759

Issue Vol. 15 No. 1 (2025)

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Design and implementation of a vein detection system for improved accuracy in blood sampling
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DOI

https://doi.org/10.35784/iapgos.6759

Authors

Omar Boutalaka

omar.boutalaka1999@gmail.com

Mohammed V University in Rabat, Electronic Systems, Sensors and Nanobiotechnologies (E2SN), High National School of Arts and Crafts (ENSAM), Morocco

https://orcid.org/0009-0007-5524-6197

Achraf Benba

achraf.benba@um5s.net.ma

Mohammed V University in Rabat, Electronic Systems, Sensors and Nanobiotechnologies (E2SN), High National School of Arts and Crafts (ENSAM), Morocco

https://orcid.org/0000-0001-7939-0790

Sara Sandabad

sandabad@isem.ac.ma

Higher Institute of Maritime Studies (ISEM), Morocco

Abstract

Blood sampling is a routine procedure in medical diagnostics, yet precise vein visualization methods remain limited. This project introduces a system designed to improve vein detection during blood collection. It relies on Near-Infrared (NIR) light, which interacts with the skin and highlights veins by taking advantage of hemoglobin’s infrared absorption properties. Using a Raspberry Pi and an infrared camera, image acquisition and processing are handled through MATLAB and Python algorithms, which allow real-time visualization of veins. The system has been tested on a database of infrared images of hands and arms, effectively enhancing vein contrast in real time. The display is connected to the Raspberry Pi, giving medical staff a visual guide. This technology aims to streamline procedures for healthcare professionals, including doctors, nurses, and medical students, particularly in high-volume settings like labs and blood transfusion centers where vein visualization is critical to patient care.

Keywords:

NIR, vein detection, image processing, embedded system

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Boutalaka, O., Benba, A., & Sandabad, S. (2025). Design and implementation of a vein detection system for improved accuracy in blood sampling. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 15(1), 131–134. https://doi.org/10.35784/iapgos.6759

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