The school became a playing field to collect all sorts of datas. The ones I collected was the quantity of mayonnaise and ketchup consumed during the lunchtime at the cafeteria. The technology used was a FSR (Force-Sensing Resistor) sensor connected to an Arduino, itself connected to a Raspberry Pi through wifi in order to save all the datas. At the end, the goal was to create a website that interprets theses values, like data visualisation. In my case, I compared them with the daily menu to see the relationship between the amount of ketchup and mayonnaise and the type of food.
ECAL, July 2015.