Face verification to help healthcare in Nepal

Useful results at the end of the world ?! Nice project of Benjamin Pasquier involving AI biometric face recognition to help healthcare in Nepal. Congratulations to Benjamin, a brilliant student from our University of Applied Science.

Benjamin created a facial recognition web application to facilitate patient monitoring in a Nepalese hospital. At the end of his Bachelor work, his prototype has an accuracy of 80% on a test dataset gathering 4’000 people and 20’000 images in total (5 per person). For an optimal recognition, Benjamin made sure that these data represent as well as possible the people of Lukla, with in particular Asian people, faces that evolve or age, as well as masked people. ✨


Benjamin Pasquier


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Project followed by Prof. Houda Chabbi and Prof. Philippe Joye.