Road Garbage Cleaning Device Based on ZigBee Gateway and Image Recognition

Linwei Cui, Tengfei Zhang, Xiaoqing Yin, Yaowei Qi
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引用次数: 4

Abstract

The existing road garbage automatic cleaning device has problems such as low cleaning efficiency, difficulty in management, low accuracy of information transmission and garbage identification, and cannot meet actual needs well. A road garbage cleaning device based on ZigBee gateway and image recognition is designed, which consist of power module, camera pan/tilt module, robot arm module, ZigBee gateway module, GPS module, MCU control module and vehicle model module. The road debris is identified and analyzed by the camera pan/tilt module together with the RBF neural network algorithm, and then the device can automatically go to the target location and clean up garbage by robotic arm; The networking characteristics of the ZigBee gateway module are used to collect information such as positioning and moving speed of each device node in real time. In addition, the APP software or server can view road image information and device information, analyze relevant data, and provide convenience for real-time monitoring and management of road garbage cleaning work.
基于ZigBee网关和图像识别的道路垃圾清扫装置
现有的道路垃圾自动清扫装置存在着清扫效率低、管理难度大、信息传递和垃圾识别准确率低等问题,不能很好地满足实际需要。设计了一种基于ZigBee网关和图像识别的道路垃圾清扫装置,该装置由电源模块、摄像头平移/倾斜模块、机械臂模块、ZigBee网关模块、GPS模块、单片机控制模块和车模模块组成。通过摄像头平移/倾斜模块结合RBF神经网络算法对道路垃圾进行识别和分析,然后通过机械臂自动到达目标位置进行垃圾清理;利用ZigBee网关模块的组网特点,实时采集各设备节点的定位、移动速度等信息。此外,APP软件或服务器可以查看道路图像信息和设备信息,分析相关数据,为道路垃圾清理工作的实时监控和管理提供便利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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