  Freight transport of goods and raw materials is a central part of the supply
chain in the commercial exchange in Latin America. Control and monitoring of
this activity are vital for an efficient economic flow and, more importantly,
without losing money. Most of the problems that generate financial losses occur
in cargo freight by land. Losses due to changes in the weight of the payload to
be transported or fuel/time losses due to capricious changes by the driver on
the scheduled route. This work aims to demonstrate use of Internet of Thing
(IoT) techniques to propose a prototype of a telemetry system to monitor in
real-time the payload weight and location of a cargo truck and become a
technological tool that supports the tasks of monitoring and control of the use
of cargo trucks, and together with other logistics measures, leads to
minimizing economic losses. The development of this project was based on the
IoT architecture reference model: an ATmega32u4 microcontroller was used
together with a SIM808 GSM and GPS module as the main component of the IoT
Node. In addition, Amazon Web Services (AWS) tools were used as an IoT web
platform and cloud data storage. The main result was a prototype of a telemetry
system to track a cargo truck via the web; the weight and position data are
accessible from any device with internet access through a website. Preliminary
field tests have shown the proposed system to be an efficient and low-cost
option.
