<p>In July 2009, Government of Malaysia had launched Green Technology Policy as new initiatives from Malaysia to handle greenhouse effect issue and energy usage through application and green technologies development to reduce carbon footprint. This project, Internet of Things (IoT) Recycle Management System is an idea to help the government in gearing the nation towards this aim with a developed system or technology that support green environment. For this paper, the intended cities are Putrajaya and Cyberjaya areas since both of these cities are chosen as a pioneer for the Green City Initiatives by the Government. This Arduino based Internet of Things (IoT) project is an upcoming urban technology that transforms everyday current recycling system into an ecosystem that would enrich our lives and make it exciting to recycle things anywhere. Hence, encourages Malaysian to recycle their things regularly and make it as a normal routine. This project consists of the development of recycle waste bin that have sensor-based and a database with webpage system for client interface which be connected via Internet network. This project has a huge prospect to be implemented in the future, should there be a collaboration with Government entities and Non- Government entities as this effort needs huge support from all Malaysians in order to realize first class mentality transformation.</p>

This project introduces the design and development of IoT E-waste monitoring system to support Green City initiatives in real-time. The main objective of this system is to design an IoT-based recycle e-waste monitoring system that will provide an efficient solution to electronics waste collection and generation data. The hazardous chemical components of e-waste have potentially adverse impacts on ecosystems and human health if not managed and monitored properly. Hence, the importance to constantly monitor the condition of the e-waste bin. The system measures and delivers up-to-date information to the system’s administrator on the waste level and bin’s current temperature in real-time. In case of fire, the system will give notification via its flame indicator. Agile Model is used as the research methodology as it offers an adaptive approach in respect to what features need to be developed. The proposed system consists of HC - SR04 Ultrasonic sensor which measures the waste level, a DS18B20 temperature sensor that detects the temperature in the bin, KY- 026 flame sensor, a Raspberry Pi 3 Model B+ as a microcontroller and ThingSpeak as an IoT web platform. ThingSpeak concurrently stores data for future use and analysis, such as prediction of the peak level of waste bin. This system is expected to increase the usage of e-waste recycle bin, hence supporting the Green City initiatives and creating a greener environment by monitoring and controlling the collection of e-waste smartly through the concept of Internet-of-Things (IoT).

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