Article
Version 2
Preserved in Portico This version is not peer-reviewed
Raspberry PI for Kill Mosquitoes by Laser
Version 1
: Received: 20 January 2021 / Approved: 21 January 2021 / Online: 21 January 2021 (09:27:07 CET)
Version 2 : Received: 2 August 2021 / Approved: 2 August 2021 / Online: 2 August 2021 (16:44:07 CEST)
Version 2 : Received: 2 August 2021 / Approved: 2 August 2021 / Online: 2 August 2021 (16:44:07 CEST)
How to cite: Rakhmatulin, I. Raspberry PI for Kill Mosquitoes by Laser. Preprints 2021, 2021010412. https://doi.org/10.20944/preprints202101.0412.v2 Rakhmatulin, I. Raspberry PI for Kill Mosquitoes by Laser. Preprints 2021, 2021010412. https://doi.org/10.20944/preprints202101.0412.v2
Abstract
More than 700 thousand human deaths from mosquito bites are observed annually in the world. It is more than 2 times the number of annual murders in the world. In this regard, the invention of new more effective methods of protection against mosquitoes is necessary. In this article for the first time, comprehensive studies of mosquito neutralization using machine vision and a 1 W power laser are considered. Developed laser installation with Raspberry Pi that changing the direction of the laser with a galvanometer. We developed a program for mosquito tracking in real. The possibility of using deep neural networks, Haar cascades, machine learning for mosquito recognition was considered. We considered in detail the classification problems of mosquitoes in images. A recommendation is given for the implementation of this device based on a microcontroller for subsequent use as part of an unmanned aerial vehicle. Any harmful insects in the fields can be used as objects for control.
Supplementary and Associated Material
Keywords
laser for mosquito control; deep learning for mosquito control; insect detection; mosquito neutralization; pest detection; insect recognition; Raspberry Pi3; Raspberry Pi4; OpenCV for small object detect
Subject
Biology and Life Sciences, Insect Science
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Commenter: Ildar Rakhmatulin
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