Mobile Green E-Waste Management Systems using IoT for Smart Campus
Khairul Najmy Abdul Rani, Hasliza A. Rahim, B. T. Ong, Muzammil Jusoh, Mohd Najib Mohd Yasin, Thennarasan Sabapathy, Wan Azani Mustafa, Mohd Aminudin Jamlos, R. Badlishah Ahmad, Dalal Abdulmohsin Hammood
Abstract
Abstract This paper presents the design and development of mobile “green” electronic waste (e-waste) management systems using Internet of Things (IoT) for smart campus. The system uses Raspberry Pi 3 Model B v1.2 microcontroller for monitoring e-waste object detection, e-waste count, and bin percentage level, respectively. TensorFlow Lite application programming interface (API) is used to run Single Shot Multibox Detector (SSD)Lite-MobileNet-v2 model trained on Microsoft Common Objects in Context (MSCOCO) dataset for e-waste object detection in image. All the monitoring data are stored and retrieved in ThingSpeak cloud platform using Hypertext Transfer Protocol (HTTP) and Message Queuing Telemetry Transport (MQTT) protocol over the Internet and displayed via interactive Android-based mobile user interface (UI). Furthermore, automatic e-mail notification will be sent to waste collector for bin collection whenever e-waste bin percentage level is greater than predetermined threshold value of 80% full.