Design and implementation of a vein detection system for improved accuracy in blood sampling
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 vein...
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| Format: | Article |
| Language: | English |
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Lublin University of Technology
2025-03-01
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| Series: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
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| Online Access: | https://ph.pollub.pl/index.php/iapgos/article/view/6759 |
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| _version_ | 1850206256731521024 |
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| author | Omar Boutalaka Achraf Benba Sara Sandabad |
| author_facet | Omar Boutalaka Achraf Benba Sara Sandabad |
| author_sort | Omar Boutalaka |
| collection | DOAJ |
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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.
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| format | Article |
| id | doaj-art-fb01059e377f481cb752b30b5b5c31aa |
| institution | OA Journals |
| issn | 2083-0157 2391-6761 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Lublin University of Technology |
| record_format | Article |
| series | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
| spelling | doaj-art-fb01059e377f481cb752b30b5b5c31aa2025-08-20T02:10:53ZengLublin University of TechnologyInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska2083-01572391-67612025-03-0115110.35784/iapgos.6759Design and implementation of a vein detection system for improved accuracy in blood samplingOmar Boutalaka0https://orcid.org/0009-0007-5524-6197Achraf Benba1https://orcid.org/0000-0001-7939-0790Sara Sandabad2Mohammed V University in Rabat, Electronic Systems, Sensors and Nanobiotechnologies (E2SN), High National School of Arts and Crafts (ENSAM)Mohammed V University in Rabat, Electronic Systems, Sensors and Nanobiotechnologies (E2SN), High National School of Arts and Crafts (ENSAM)Higher Institute of Maritime Studies (ISEM) 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. https://ph.pollub.pl/index.php/iapgos/article/view/6759NIRvein detectionimage processingembedded system |
| spellingShingle | Omar Boutalaka Achraf Benba Sara Sandabad Design and implementation of a vein detection system for improved accuracy in blood sampling Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska NIR vein detection image processing embedded system |
| title | Design and implementation of a vein detection system for improved accuracy in blood sampling |
| title_full | Design and implementation of a vein detection system for improved accuracy in blood sampling |
| title_fullStr | Design and implementation of a vein detection system for improved accuracy in blood sampling |
| title_full_unstemmed | Design and implementation of a vein detection system for improved accuracy in blood sampling |
| title_short | Design and implementation of a vein detection system for improved accuracy in blood sampling |
| title_sort | design and implementation of a vein detection system for improved accuracy in blood sampling |
| topic | NIR vein detection image processing embedded system |
| url | https://ph.pollub.pl/index.php/iapgos/article/view/6759 |
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