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This thesis will aim to design and implement an ADS-B integral and distributed system for detecting aircrafts broadcasts messages. Those messages will be processed and stored in a SQL database the project will rely on an MariaDB server installed on a home build server computer. After the data processing, clients through a web application developed with Python and Django framework will be able to consume on real time the information which will be displayed in an interactive map thanks to an API REST. Additionally, it will be also possible to access historic and real time data for researchers through downloadable files or through a direct SQL connection to the server with read-only privilege dedicated account. The system will be developed at a first stage with a raspberry pi 4B 8GB and then migrated to a dedicated server, the system is gives only support to GNU-LINUX Debian based distributions such as Ubuntu and Raspbian. The hardware for receiving messages will be an RTL-SDR receiver and will rely on the following open-source projects: dump1090 for Raspbian OS or dump1090-mutability for Ubuntu OS where data will be collected through an UDP socket. Scalability will be taken into account allowing to have multiple base stations feeding to the server at the same time. It will involve from the radio frequency system conditioning to the front-end development. The applications for such system will be the promotion of the EETAC, a tool for researchers in ATM, for performing some basic statistics with the data harvested and for estimating the radio propagation in the 1090 MHz band