Application Research of Automatic Garbage Sorting Based on TensorFlow and OpenCV

Abstract

Relying on manual garbage classification, the classification efficiency is low, and because of the classification environment is bad, the classification task is heavy, it is very adverse to the health of the classification personnel. With the development of artificial intelligence, artificial intelligence technology has advanced by leaps and bounds. After the concept of deep learning was proposed, the development of artificial intelligence was driven to practical application. And the advantages of deep learning are obvious, which also makes automatic garbage sorting possible. With the development of deep learning, a large number of deep learning network framework structures have gradually emerged, and a group of open source frameworks represented by TensorFlow and Keras have been widely applied. This paper proposes an application research on automatic garbage sorting based on TensorFlow and OpenCV, an open source image library, in order to realize automatic garbage recycling.