The aim of the project is to create a monitoring system for sensble material transport to avoid economic damages but also dispersion of these materials.
The Arduino system is defined by a thermistor and a level sensor plus two actuators simulating the fridge and possible problems due to liquid dispersion. There is also a LCD monitor signaling possible problems and the material temeprature. The communication is the standard UART.
Adafruit is used to send and receives data from arduino system.
There's the developpment of a telegram bot which enables the system to keep messages to the driver when there are any possible problem
the Machine Learning algorithm K-means is used to recognize different kinds of material using color codes.
