IoT Based Reverse Vending Machine to Identify Aluminium Material and Allocate Point Reward
Muhammad Ehsan Rana, Kamalanathan Shanmugam, Kwang Qin Yi
Abstract
A Reverse Vending Machine (RVM) allows people to exchange their recyclable items for rewards. These are machines that can identify, sort, collect and process used drink cans. The research helps to understand how IoT can be applied in the RVM system to increase automation and improve efficiency. The reason for using quantity measurement on giving rewards has been explained along with facts. Every element associated with each layer of system architectures is thoroughly clarified and elaborated in the domain segment. Several related works and similar systems are presented and discussed, concluding that a cashless approach can more likely attract people and is more secure and efficient to use. Finally, this research provided a straightforward procedure to implement the Reverse Vending Machine (RVM) with ease. Every system has its benefits and drawbacks; the limitations of the proposed method are listed for further enhancement.