A framework for dry waste detection based on a deep convolutional neural network

Due to lack of proper regulations in many areas ofthe world, consumers are not mandated to waste sorting at thesource. Moreover, human sorting often suffers from lowaccuracy. In the intelligent detection system, it is attempted tobreak down a variety of household wastes including plasticbottles, glass, metals, paper bags, compact plastics, paper anddisposable containers. In this paper, a real waste image system isinvestigated using the deep convolutional neural network and aremarkable accuracy of ۹۲.۷۶% achieved.

Keywords:

image processing , sorting , dry residue , deep learning