Students during Winter Semester 2020
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Zijun Cui Master student in Digital Humanities at EPFL. My topic in the project is counting people that pass through the cameras, as a part of the data analytics work. |
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Philine Witzig Master student in Computer Science in exchange at EPFL. I am working on the re-identification of people within and between cameras. In the context of ProCam, this can be useful if we want to notify people with fever and want to avoid doing so with the same person multiple times. |
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Frank Dupont Master student in Electrical and Electronical Engineering at EPFL. I work on face mask detection for the the ProCam system. Our solution helps to identify persons who are not wearing masks or wearing then incorrectly using Deep Learning algorithms trained and tuned on our own recorded videos. |
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Jean Georges B. Guillain Master student in Mathematics in exchange at EPFL. I am working on the web server interface of ProCam, this platform allows you to access the Raspberry Pi live feed and decrypt the images captured by the cameras. |
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Hangqian Li Master student in Digital Humanities at EPFL. I work on the Social Distance detection using deep learning and computer vision. |
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Aurel Mäder Master student in Digital Humanities at EPFL. In fever detection we try to determine if a person has an abnormally high body temperature given the infrared footage of our thermal cameras.This is done with the statistical concepts of outlier detection and a lot of pratical testing. |
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Agathe Van Lamsweerde Master student in Mathematics in exchange at EPFL. To protect users from contamination on environmental surfaces, I indicate the most frequent locations to prioritise cleaning and disinfection. The identification of risky surfaces involves tracking the trajectories of all the users of the space. |
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Matthieu Verdet Master student in Computer Science at EPFL. My work at ProCam was to handle Data-Set Acquisition. I created an organization and wrote code to record various scripted scenes. The goal being to provide static and authentic Thermal and Visual content to them to train their Image-Processing models before we get to see the final pipeline. |
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Benoît Gallois |
Supervisors
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Touradj Ebrahimi |
Evgeniy Upenik |
Christine Gabriel |
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Davi Nachtigall Lazzarotto |
Jonathan Aeschimann |
Andrey Laktionov |
