Smart waste management system with internet of Things
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Date
2018-06
Authors
Lee, Soon Chong
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Abstract
Garbage collection is a process of gathering or taking away domestic waste from
neighbourhood or town by the authority in charge. The traditional way of collecting
garbage is by moving a truck from house to house to take away the household disposal.
The collection is usually scheduled in a daily basis or twice a week. However, problem
arises when some of the family do not have any domestic waste to be collected or the
dustbin still has a sufficient space for garbage dumping. With the traditional method, the
garbage collecting truck will move on to collect domestic waste from residential areas as
usual without considering the necessity of the process. Therefore, it can cause wastage of
man power and fuel. Apart from that, the traditional waste collection cannot ensure the
cleanliness of a city or town to be kept all the time. This is because the garbage collecting
process only happens in accordance to the schedule. Highly trafficked areas face a
situation where the dustbins are filled up quickly and cause overflow. Increased
urbanization comes around with higher garbage disposal rate. Hence, the fixed schedule
for collection is less efficient. This project presents a waste management system with
Internet of Things (IoT) technique. Authority in charge of garbage collection is able to
monitor the level of garbage filling through website and smartphone application. When
the capacity of the dustbin reaches a certain level and about to overflow, the webpage and
smartphone application show an indication to the users and they will be notified that
garbage collection is required. The location of the dustbins is shown on Google Map in
the webpage. Hence, the authority can view the optimized path for garbage collection.
Analysis is done to determine the suitable IoT protocol and hardware for the project. In
this system, ultrasonic sensor and weight sensor are implemented to detect the garbage
filling of dustbin and Global Positioning System (GPS) module is used to obtain the
location of the dustbin. Raspberry Pi 3 acts as the microprocessor and central control unit.
Android application is developed by using MIT App Inventor while Python script is
employed to program the Raspberry Pi 3 and configure IoT protocol. PHP, HTML, CSS
and Javascript are used to perform webpage design. Overall, Internet of Things technique
is applied to the system and tested.