  The COVID-19 pandemic started in China in December 2019 and quickly spread to
several countries. The consequences of this pandemic are incalculable, causing
the death of millions of people and damaging the global economy. To achieve
large-scale control of this pandemic, fast tools for detection and treatment of
patients are needed. Thus, the demand for alternative tools for the diagnosis
of COVID-19 has increased dramatically since accurated and automated tools are
not available. In this paper we present the ongoing work on a system for
COVID-19 detection using ultrasound imaging and using Deep Learning techniques.
Furthermore, such a system is implemented on a Raspberry Pi to make it portable
and easy to use in remote regions without an Internet connection.
