Open AccessRain Gutter Detection in Aerial Images for Aedes aegypti Mosquito Prevention
Author(s) -
L Rossi,
André Ricardo Backes,
J. P. A. Souza
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/wvc.2020.13474
Subject(s) - aedes aegypti , chikungunya , dengue fever , yellow fever , outbreak , aedes , mosquito control , artificial intelligence , biology , remote sensing , malaria , computer science , ecology , virology , geography , virus , larva , immunology
The detection of Aedes aegypti mosquito is essential in the prevention process of serious diseases such as dengue, yellow fever, chikungunya, and Zika virus. Common approaches consist of surveillance agents who need to enter residences to find and eliminate these outbreaks, but often they are unable to do this work due to the absence or resistance of the resident. This paper proposes an automatic system that uses aerial images obtained through a camera coupled from an Unmanned Aerial Vehicle (UAV) to identify rain gutters from a shed that may be mosquitoes’ foci. We use Digital Image Processing (DIP) techniques to differentiate the objects that may or may not be those foci of the mosquito-breeding. The experimental results show that the system is capable of automatically detecting the appropriately mosquito-breeding location.