The buggy was able to successfully complete the track ('heats demo')
with no issues. It was not the fastest buggy but we still managed to
win a prize for best software documentation and we could finally sleep
without worrying about the project!
These photos show the team after the heats test and also
the final buggy which we called Eduardo or Jacques
because 'he' resembles the
shrimp from Nemo.
In 2016, I worked as a summer intern with
Dr. Hujun Yin
at the University of Manchester.
I developed a mobile video face detection and recognition system on a Raspberry Pi.
The system is controlled via speech. It uses Viola-Jones and Eigenface methods for detection and recognition. It is able to actively re-learn and add new faces.
The image shown here is the working prototype. It has shown to be robust
to varying light conditions and could be used for a medical assistant robot in