ESP32-Based Real-Time Blood Typing Detection for Emergency and Rural Use
Abstract
Accurate blood group identification is essential in emergency medical care, especially in rural or remote areas with limited access to laboratory facilities. This paper presents the design and development of a low-cost, real-time blood typing detection device focused on the ABO blood group system. The device utilizes an ESP32 microcontroller to process optical input signals based on agglutination reactions between blood samples and antisera. Measurement results are displayed directly on an LCD screen, providing immediate and easy-to-read feedback without the need for internet connectivity or external devices. The system is compact, portable, and user-friendly, making it ideal for use in field operations, mobile clinics, or basic healthcare units. Initial testing shows the device is capable of accurately determining blood types A, B, AB, and O in real-time, supporting rapid decision-making in critical situations.
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References
[2] RISKYAPRILIANI, Nanda; DARLIS, Denny; HARTAMAN, Aris. Perancangan Pendeteksi Golongan Darah Dan Rhesus Berbasistensorflow Menggunakan Esp32-cam. eProceedings of Applied Science, 2021, 7.6.
[3] PRATMANTO, Dany, et al. Rancang Alat Pendeteksi Golongan Darah Berbasis Arduino Uno. Indonesian Journal on Software Engineering (IJSE), 2020, 6.1: 145-151.
[4] Julianto, F. R., & Risfendra, R. (2020). Pendeteksi Golongan Darah Otomatis Berbasis Mikrokontroller. JTEV (Jurnal Teknik Elektro dan Vokasional), 6(1), 230-239.
[5] Melati, E., Passarella, R., Primartha, R., & Murdiansyah, A. (2011). Desain dan pembuatan alat pendeteksi golongan darah menggunakan mikrokontroler. Jurnal generic, 6(2), 48-54.
[6] Ghifari, H. G., Darlis, D., & Hartaman, A. (2021). Pendeteksi Golongan Darah Manusia Berbasis Tensorflow menggunakan ESP32-CAM. ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika, 9(2), 359.
[7] Retyanto, B. D., Maghfiroh, D. I., & Hidayah, I. (2018). Rancang Bangun Prototipe Alat Ukur Golongan Darah Manusia Berbasis Arduino Uno. SPEKTRA: Jurnal Kajian Pendidikan Sains, 4(2), 1-11.
[8] Kusumaningrum, W. P., Darlis, D., & Hartaman, A. (2021). Perancangan Aplikasi Pendeteksi Golongan Darah Dan Rhesus Berbasis Android. eProceedings of Applied Science, 7(6).
[9] Setiawan, A., & Rahmadewi, R. (2024). KLASIFIKASI GOLONGAN DARAH DENGAN IMAGE PROCESSING CANNY EDGE. JUTECH: Journal Education and Technology, 5(1), 104-113.
[10] Nabila, F., & Habibullah, H. (2022). Alat Pendeteksi Golongan Darah Manusia Berbasis IoT. JTEIN: Jurnal Teknik Elektro Indonesia, 3(1), 267-276.
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