Architectural diagram of the patient identification and registration workflow.

<p>The process begins with biometric face capture in the AIMFAR Application and concludes with data storage in the OpenMRS electronic medical record system, facilitated by image processing and facial recognition APIs. <b>Aimfar Application (Mobile Interface):</b> The mobile applica...

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Бібліографічні деталі
Автор: Patrick Kaggwa (13767476) (author)
Інші автори: Juliet Nabbuye Sekandi (14559414) (author), Mcdonald Kerone Adenike (22683316) (author), Peter Nabende (22683319) (author), Sarah Nabukeera (9969360) (author), Kenneth Kidonge Katende (13767467) (author), Esther Buregyeya (303179) (author), Nazarius Mbona Tumwesigye (8748447) (author)
Опубліковано: 2025
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Опис
Резюме:<p>The process begins with biometric face capture in the AIMFAR Application and concludes with data storage in the OpenMRS electronic medical record system, facilitated by image processing and facial recognition APIs. <b>Aimfar Application (Mobile Interface):</b> The mobile application used for initial face and biometric data capture. <b>Cloudinary Image Process API & Azure Facial Recognition API (Processing Engines):</b> Responsible for image optimization, landmark extraction, and model training. <b>OpenMRS Electronic Medical Record System (Desktop Interface):</b> The destination system for final patient data storage and access. <b>Process Block (Titled Rectangle):</b> A major stage in the data processing workflow. <b>Data Storage Block (Cylinder Shape):</b> The final database where patient biodata and other details are stored. <b>Arrow:</b> The direction of data flow between system components.</p>