Development of IoT based garbage monitoring system using a microcontroller

Zulkiflee, Nur Azreen Atikah (2023) Development of IoT based garbage monitoring system using a microcontroller. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

The neat and clean surroundings are the main driving force for any university residential college to be called a "clean university." The increasing number of students in universities generates a bunch of garbage. As a result, trash collection and garbage management in universities have to deal with this critical issue, and this matter must be addressed by university administrators. To maintain the residential college's clean environment, the residential college's management needs to take care of the cleanliness of the bins placed on the every single dustbin residential college's block by checking and collecting the garbage at every single dustbin daily. This will require more human work and time. Other than that, the garbage will overflow and a bad smell will arise if the cleaning staff does not come to collect the garbage right on time because they do not know the status of the dustbin. So, this project's concept is to design the "Development of an IoT-Based Garbage Monitoring System Using Microcontroller" by continuously monitoring the garbage level and notifying cleaning staff wirelessly by sending a notification via the Blynk app on their smartphone every time the garbage bin is full. By using this system, the issue of garbage overflow can be solved. The suggested system included ultrasonic sensors that were strategically positioned under the lid of the dustbin to identify the garbage level and compare it to the depth of the dustbins. To save data, the system displays the status of garbage on a liquid crystal display (LCD) and Blynk application in real time and sends an alert notification to the cleaning staff. The system is expected to create a cleaner and more comfortable environment due to its ability to monitor and control garbage collection intelligently through the Internet of Things (IoT).

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