A real-time smart dust bin for efficient waste management and separation using both GSM and GPS technology.

Abstract

Poor waste management has devastating repercussions on large cities [1], including increased environmental pollution, a widening epidemic, and toxicity in our soils. An environment needs to be clean and well-monitored in order for humans to live there. Citywide rubbish management and monitoring is a critical part in achieving this. The existing method, which employs waste monitoring staff, has been prone to delays or negligence when it comes to the process of routinely examining and emptying heavy dustbins [2]. Due to the varying frequency of trashcan usage in different locations, a dustbin may fill up early and demand immediate attention or it may not be necessary for a routine check for a long period. This makes time-based routine checks inefficient. The Smart-Bin Prototype for Waste Management is addressed in this study with a solution that combines the concepts of a GPS Module, a GSM Module, and an Arduino Mega Microcontroller to interface the sensor system. Inductive proximity sensors are used to detect metals, capacitive proximity sensors are used to detect plastics, and another ultrasonic sensor, configured to detect any other type of waste being disposed of, is embedded in dustbins in the area. After waste is detected, the corresponding sensor communicates with the microcontroller, which in turn instructs the corresponding servo motor to open a compartment responsible for that waste, easing sorting of waste. In the event that any compartment is filled, an ultrasonic sensor in that compartment sends information about its fill level to the Arduino micro-controller, which then sends this information to a cloud platform (Portal). The client app's GUI (Web or mobile) displays the current status (filled or empty) when the cloud platform has further pushed the data to it. The waste management staff can utilize the client app GUI and the data to organize their regular check. The public can use the app to find out which trash can in the area is empty and which types of waste it accepts in order to assist waste separation. This efficient waste management would eliminate instances of waste collection and disposal negligence and would optimize resource use. It is also simple to implement [9]