RaspberryPI for mosquito neutralization by power laser

TL;DR

This paper explores mosquito neutralization using a Raspberry Pi-controlled 1 W laser with machine vision, employing neural networks and image classification for mosquito detection and tracking.

Contribution

It introduces a novel laser installation with Raspberry Pi and deep learning techniques for mosquito recognition and proposes its potential integration into UAVs for pest control.

Findings

Successful development of mosquito tracking system

Feasibility of using neural networks for mosquito recognition

Potential application in UAV-based insect control

Abstract

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.