节点文献

基于深度学习的江边垃圾识别无人机系统

Unmanned Aerial Vehicle System For Riverbank Waste Recognition Based On Deep Learning

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 田贺; 黄雍梁; 祝梓鉴; 孔维磊; 王一萍; 邓佳宾;

【Author】 TIAN He;HUANG Yongliang;ZHU Zijian;KONG Weilei;WANG Yiping;DENG Jiabin;School of Communications and Electronic Engineering,Qiqihar University;

【通讯作者】 邓佳宾;

【机构】 齐齐哈尔大学通信与电子工程学院;

【摘要】 文章设计并制作了一种用于识别江边垃圾的无人机系统。该系统采用飞控APM2.8芯片作为主控芯片,其硬件部分还包括2212自锁电机、30A电调、MC6C遥控器、K210摄像头模块以及BB响测电器等组件,成功实现了无人机的悬停、路径规划、垃圾识别、信息传输以及手机端监测等功能。借助手机APP,可直观地掌握江畔垃圾的位置分布情况,为江畔环境治理提供有效辅助。经测试,该系统的各项预设功能均可实现,具备较高的实用价值。

【Abstract】 The article designs and manufactures a physical model of a drone system used to identify garbage along the riverbank.This design uses the flight control APM2.8 chip as the main control chip, and its hardware mainly includes components such as 2212 self-locking motors, 30A electronic speed controllers, MC6C remote controllers, K210 camera modules and BB beep voltage detectors.It has successfully realized functions such as the hovering of the drone, route planning, garbage identification, information transmission and monitoring on the mobile phone terminal.With the help of the mobile phone APP,the location distribution of the garbage along the riverbank can be intuitively grasped, providing effective assistance for the environmental governance of the riverbank.After testing, all the preset functions of this system can be realized, and it has relatively high practical value.

【关键词】 无人机; 垃圾识别; APM2.8芯片;
【Key words】 Unmanned aerial Vehicle; waste recognition; APM2.8 chip;
【基金】 2024年大学生创新创业训练计划项目(省级指导项目)(项目编号:S202410232140)
  • 【文献出处】 长江信息通信 ,Changjiang Information & Communications , 编辑部邮箱 ,2025年08期
  • 【分类号】TP18;X321
  • 【下载频次】53
节点文献中: 

本文链接的文献网络图示:

本文的引文网络