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.
翻译:本篇文章首次考虑了利用机器视像和一台W功率激光对蚊子中和进行的全面研究;与Raspberry Pi开发了激光装置,用高温计改变激光的方向;我们开发了一个真实的蚊子跟踪程序;考虑了利用深神经网络、Haar级联、机器学习以识别蚊子的可能性;我们详细审议了图像中的蚊子分类问题;建议使用微型控制器实施这一装置,随后作为无人驾驶飞行器的一部分使用;可以将田野中任何有害昆虫用作控制对象。