Contributions
We split out project into three components:
Frontend, Server, and Hardware. I contibuted
most to the Hardware portion.
The Hardware was made from a Rasberry Pi and
multiple cameras. The cameras were used to
monitor parking spots. The Rasberry Pi was
used to process the images using a Machine
Learning algorithm. The inference resulted in
data about each spot, and the car occupying
it. This was information was sent to the
server, so it would be available to app users.
As design documents are created, they will be
attached here.