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Melanveer: Vein Detection Technology to Improve Health Services

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)
Article Publication History
Received 06 Jan 2025
Revised 31 May 2025
Accepted 31 May 2025
Published Online 01 Jun 2025
10.53699/joimedlabs.v6i1.259
449
395
Scholar Citations
36-46

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

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


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How to Cite / Citation Formats

Ivone Adeline, Andri Maulana, Salzabila Hartriningsih, Wisnu Adi Prasetyanto (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
DOI: https://doi.org/10.53699/joimedlabs.v6i1.259
Published: June 1, 2025
Pages: pp. 36-46
Open Access • CC BY-SA 4.0

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