Melanveer: Vein Detection Technology to Improve Health Services

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Published: Jun 1, 2025
DOI: https://doi.org/10.53699/joimedlabs.v6i1.259
Keywords:
CLAHE, Intravenous, Infrared Light, Melanveer, Vein Visualization

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Ivone Adeline
Prodi Biomedical Engineering, Faculty of Tecnique, Universitas Dian Nuswantoro, Semarang, Indonesia
Andri Maulana
Prodi Biomedical Engineering, Faculty of Tecnique, Universitas Dian Nuswantoro, Semarang, Indonesia
Salzabila Hartriningsih
Prodi Biomedical Engineering, Faculty of Tecnique, Universitas Dian Nuswantoro, Semarang, Indonesia
Wisnu Adi Prasetyanto
Prodi Biomedical Engineering, Faculty of Tecnique, Universitas Dian Nuswantoro, Semarang, Indonesia

Abstract

Background: Intravenous (IV) procedures face challenges due to low nurse proficiency (50.8%) in Indonesian and difficulties in vein visualization, especially in patients with darker skin tones. Objectives: To develop an affordable, portable vein detection device, "Melanveer," capable of accurate visualization for all skin types. Materials and Methods: Melanveer uses near-infrared (NIR) light and Contrast Limited Adaptive Histogram Equalization (CLAHE) for real-time vein visualization. The prototype, made with 3D-printed components, was tested on 20 patients with varying skin tones (Very white to light white skin, Fair to light brown skin, and Dark to very dark brown skin). Results: Melanveer demonstrated 94% accuracy in vein detection, improved efficiency for medical staff, and enhanced patient comfort during IV procedures. Conclusions: Melanveer offers an innovative, cost-effective, and portable solution for accurate vein detection, addressing challenges in IV procedures and improving healthcare outcomes

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How to Cite
Adeline, I., Maulana, A., Hartriningsih, S., & Adi Prasetyanto, W. (2025). Melanveer: Vein Detection Technology to Improve Health Services. Journal of Indonesian Medical Laboratory and Science (JoIMedLabS), 6(1), 36–46. https://doi.org/10.53699/joimedlabs.v6i1.259
Issue
Vol. 6 No. 1: April 2025
Section
Artikel
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References

Perdana, A., Manggala, S. K., & Karina, A. (2020). Comparison of Intravenous Cannula Insertion Success Between Use and No Use of a Venous Scanner in Pediatric Patients. Anesthesia & Critical Care Magazine, 38(3). https://doi.org/10.55497/majanestcricar.v38i3.200

Santiago, S., Brown, R., Shao, K., Hooper, J., & Perez, M. (2023). Modified Fitzpatrick Scale-Skin Color and Reactivity. Journal of Drugs in Dermatology, 22(7). https://doi.org/10.36849/JDD.6859

Sari, B. P. P., Kurniawan, U., & Kurniawan, M. H. (2021). Effectiveness of Vein Viewer in Supporting Nursing Care: Literature Review. Lentora Nursing Journal, 1(2). https://doi.org/10.33860/lnj.v1i2.1786

Stimper, V., Bauer, S., Ernstorfer, R., Schölkopf, B., & Xian, R. P. (2019). Multidimensional Contrast Limited Adaptive Histogram Equalization. IEEE Access, 7. https://doi.org/10.1109/ACCESS.2019.2952899

Suryani, A. (2020). Effectiveness of Vein Viewer in Supporting Nursing Care: Literature Review. Lentora Nursing JournalFactors Affecting Human Pigmentation. Mirror of the Medical World, 47(11). https://doi.org/10.55175/cdk.v47i11.1195

Syafiq, M., & Nasution, A. M. (2016). Design of a Biometric Recognition System for Venous Blood Vessels in the Palm of the Hand Using Infrared Light.

Yakno, M., Mohamad-Saleh, J., & Ibrahim, M. Z. (2021). Dorsal hand vein image enhancement using fusion of clahe and fuzzy adaptive gamma. Sensors, 21(19). https://doi.org/10.3390/s21196445