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ISCA Technologies

1 ARTICLES PUBLISHED IN JoVE

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Bioengineering

Flying Insect Detection and Classification with Inexpensive Sensors
Yanping Chen 1, Adena Why 2, Gustavo Batista 3, Agenor Mafra-Neto 4, Eamonn Keogh 1
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.

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