Authors: DUMITRESCU Cătălin Marian, MINEA Marius, COSTEA Ilona-Mădălina, CHIVA Cosmin Ionuț, MINEA Viviana Laetitia, SEMENESCU Augustin
Company/Faculty/School: University POLITEHNICA of Bucharest
Country: Romania
e-mail: catalin.dumitrescu@upb.ro,; augustin.semenescu@upb.ro
web page: www.pub.ro
The invention relates to a system and a method for detecting, identifying and classifying drones (UAV), based on the concept of competition at the level of a collection of artificial neural networks with performance in identifying acoustic signals, by means of a computing unit for processing, analysis and classification of drones based on associated acoustic fingerprints
