IoT and Machine Learning Based Smart Garbage Management and Segregation Approach for Bangladesh

Abstract

In the perspective of a developing country like Bangladesh, the problem of garbage management is becoming a major issue as the overpopulation of the country is producing a lot of wastes per day and does not have any proper treatment system for these wastes. For the better living of the people of a country, it needs to solve the problem related to garbage management and treatment. Overflow and improper dumping of garbage can cause different exaggerated diseases for neighbouring people, and if the garbage is not treated properly it can also cause some serious environmental pollution. This paper proposed a system of garbage management which can monitor the garbage level, the humidity, the temperature and can sense the response of flame. To ensure the clearance of the garbage, radio frequency identification (RFID) system is installed and with the help of Internet of Things (IoT) all the system can be monitored from the server by the authority. Two types of communication protocol are used here one is Message Queuing Telemetry Transport (MQTT) protocol, and the other is Long Range Wide Area Network (LoRaWAN) technology which is used as a backup. After collecting all the garbage from individual bins, they have to be dumped centrally, and machine learning model is used here to segregate the garbage into biodegradable and non-biodegradable. The whole procedure is ensuring a smart garbage system with proper treatment and green and pollution-free environment which is crying need for the people of Bangladesh.