Abstract
Urban areas are facing challenges in waste management systems due to the rapid growth of population in cities, causing huge amount of waste generation. As traditional waste management system is highly inefficient and costly, the waste of resources can be utilized efficiently with the integration of the internet of things (IoT) and deep learning model. The main purpose of this research is to develop a smart waste management system using the deep learning model that improves the waste segregation process and enables monitoring of bin status in an IoT environment. The SSD MobileNetV2 Quantized is used and trained with the dataset that consists of paper, cardboard, glass, metal, and plastic for waste classification and categorization. By integrating the trained model on TensorFlow Lite and Raspberry Pi 4, the camera module detects the waste and the servo motor, connected to a plastic board, categorizes the waste into the respective waste compartment. The ultrasonic sensor monitors the waste fill percentage, and a GPS module obtains the real-time latitude and longitude. The LoRa module on the smart bin sends the status of the bin to the LoRa receiver at 915 MHz. The electronic components of the smart bin are protected with RFID based locker, where only the registered RFID tag can be used to unlock for maintenance or upgrading purposes.
Highlights
As the population living in urban areas increases rapidly throughout the years, there are a lot of challenges taken place in cities, especially in the waste management system
This paper presents a smart waste management system that detects and categorize the different types of waste and places them into a specific compartment
The servo motors connected to the plastic board in the smart bin categorize the waste from temporary waste placement into the respective waste compartment
Summary
As the population living in urban areas increases rapidly throughout the years, there are a lot of challenges taken place in cities, especially in the waste management system. The World Bank stated that approximately 2.01 billion tons of waste were generated in 2016 due to the population and economic growth in the urban areas, which is estimated to increase to 3.40 billion tons in 2050 [1]. As per EUROSTAT, the European Union recycled 423 million tons of waste, which are 56% of locally produced waste in 2016 [2]. 24% of the locally produced waste of 179 million tons was landfilled in the European Union. The methods to manage waste among urban and rural areas are different. The best solution to manage collected waste is to reuse and recycle them. The cost of effective waste management is high, which requires cooperation from authorities and users
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