International Journal For Multidisciplinary Research

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DIGITAL BLOOD TYPING KIT VIA FINGERPRINTING

Author(s) Prof. Anjali Soni, Ms. Anjali Wagmode, Ms. Anjali Rai, Ms. Ankit Chandrawanshi, Mr. Aditya Prajapati, Mr. Aditya Singh Patel
Country India
Abstract Blood group determination is a fundamental diagnostic procedure in clinical medicine, playing a critical role in safe blood transfusion, organ transplantation, and emergency healthcare management. Conventional blood typing techniques, such as slide agglutination, tube methods, and gel card assays, require direct blood sampling, laboratory infrastructure, and skilled personnel. These requirements limit their applicability in emergency situations, rural healthcare settings, and field-based diagnostics.
The present project aims to design and develop a portable, non-invasive blood typing system utilizing fingerprint residue analysis as an alternative diagnostic medium. Fingerprints are known to contain trace biological components, including sweat, proteins, amino acids, and cellular debris, which may carry biochemical markers indirectly associated with blood group antigens. The proposed system explores the interaction between these biological residues and chemically treated reagents that mimic conventional antigen–antibody reactions.
The device integrates a sensor-based detection system, including optical or colorimetric sensors, coupled with a microcontroller for automated signal processing and result interpretation. Upon placement of a fingerprint on the reagent-coated surface, chemical interactions produce detectable changes such as color variation or turbidity, which are captured by sensors and analyzed digitally.
This approach provides a rapid, user-friendly, and minimally invasive method for preliminary blood group identification. While the system is not intended to replace standard laboratory methods, it serves as a screening tool that can significantly enhance accessibility and response time in emergency and resource-limited settings.The proposed device has potential applications in ambulances, rural healthcare centers, forensic science, military operations, and disaster management scenarios. However, further research and clinical validation are required to improve accuracy, reliability, and scalability of the system
Keywords ABO Blood Group Classification System AI Artificial Intelligence API Application Programming Interface AR Augmented Reality / Analytical Reagent BMI Body Mass Index CCD Charge Coupled Device CNN Convolutional Neural Network CPU Central Processing Unit DNA Deoxyribonucleic Acid ESP32 Espressif 32-bit Microcontroller GUI Graphical User Interface H/W Hardware IoT Internet of Things JPG Joint Photographic Experts Group LCD Liquid Crystal Display LED Light Emitting Diode ML Machine Learning OLED Organic Light Emitting Diode PCB Printed Circuit Board PNG Portable Network Graphics RAM Random Access Memory RGB Red Green Blue Rh Rhesus Factor ROI Region of Interest S/W Software USB Universal Serial Bus WHO World Health Organization
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-17
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.78756
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