ISCA Technologies 1 article published in JoVE Bioengineering Flying Insect Detection and Classification with Inexpensive Sensors Yanping Chen1, Adena Why2, Gustavo Batista3, Agenor Mafra-Neto4, Eamonn Keogh1 1Department of Computer Science and Engineering, University of California, Riverside, 2Department of Entomology, University of California, Riverside, 3Institute of Mathematics and Computer Sciences, University of São Paulo - USP, 4ISCA Technologies We proposed a system that uses inexpensive, noninvasive pseudo-acoustic optical sensors to automatically and accurately detect, count, and classify flying insects based on their flying sound.
