基于机器视觉的智能垃圾分类装置

Intelligent Garbage Classification Device Based on Machine Vision

文章设计了一种基于机器视觉的智能垃圾分类装置用于垃圾分类。使用树莓派作为主板,依托于Lobe Tensorflow平台使用机器学习算法实现垃圾图像处理功能。通过树莓派Linux操作系统中Python IDE状态栏输出垃圾识别信息,调动由舵机组成的分拣平台实现智能垃圾分类。基于机器视觉的智能垃圾分类装置具有可学习、成本低、易组装、操作简便以及上手快速等优点。

The article designs a machine vision based intelligent garbage sorting device for garbage sorting.Using Raspberry Pi as the main board,the garbage image processing function is implemented using machine learning algorithms relying on the Lobe Tensorflow platform.The garbage identification information is outputted through the status bar of Python IDE in Raspberry Pi Linux operating system,and the sorting platform composed of a servo is mobilized to achieve intelligent garbage sorting.The machine vision-based intelligent garbage sorting device has the advantages of being learnable,low cost,easy to assemble,simple to operate and quick to start.