An Extended Smart Recycling Bins Using Deep Learning Networks

Abstract

The main purpose of this paper is to develop a smart recycling bin to replace the manual sorting of waste. This paper extends the previous work by 1) adding an ultrasonic module to assess the amount of waste in the recycling bin, 2) distinguishing one more class, i.e. the glass bottles, in addition to metal cans, plastic bottles, and Tetra Pak cartons, and 3) developing a mobile App to real-time monitor the status of recycling bins. Experimental results show that the developed system has the over 96% mean average precision (mAP) for the Tetra Pak cartons and plastic bottles.