Development of an IoT-based smart garbage bin system with RFID and GSM module

Aziz, Noorazuwen (2019) Development of an IoT-based smart garbage bin system with RFID and GSM module. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Smart Garbage Bin System with RFID and GSM Module is a new prototype of an automatic recycle system that can separate three different types of materials and giving rewards point to the users thus can reduce the overflowing trash. The main objective of this project is to monitor the level of the waste in the garbage bin through a web page for notifying the cleaner’s smartphone to collect a full garbage bin. This system had been integrated with the Internet of Things (IoT) in order to monitor the trash level through a cloud database called Adafruit IO. Besides, GSM will notify the worker to collect garbage bin and the data of this system will be analyzed using Adafruit IO platform. In part of that, time taken for each type of material detected in bin also be analyzed to ensure this system performs efficiently. This project completed with a contactless smartcard as the electronic reward points to attract the community involves in recycling activity. Existence of this project because of the increasing in Malaysia’s population and bad smell produced from the polluted area with an uncontrolled overflow of waste cause the disease is spread. An IoT technology provides the user with a real-time monitoring system. The authorized agency can monitor the trash level without check the garbage bin gradually during collects waste. In addition, the trash is also equipped with a system of transmission of information through short messages (SMS) to the workers to make cleanup of garbage collection which is full. The output that displays to the user through the LCD display is the type of material detected and the recent point collected. This project consists of two main sensors which area capacitive proximity sensor and inductive proximity sensor. Arduino programming will be the brain of this project and the IR sensor used to determine the condition of the material. Then, the condition is stimulated by both capacitive and inductive proximity sensor to determine the type of material detected. Besides, this project utilized ultrasonic sensor to detect the trash level in the bin then will send the status of the level bin to authorities.

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