1 AIT Asian Institute of Technology

Design and implementation of smart waste bin and monitoring system using internet of things and machine learning

AuthorTun Aung Wai
Call NumberAIT RSPR no.IOT-23-01
Subject(s)Internet of things
Machine learning
NoteA research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Internet of Things (IoT) Systems Engineering
PublisherAsian Institute of Technology
AbstractThis study presents the development of an innovative Smart Waste Management System (SWMS) designed to boost the efficiency of waste handling and mitigate environmental damage. The proposed system utilizes real-time waste segregation to enhance sorting accuracy. It comprises a series of garbage bins equipped with various sensors and actu- ators, all controlled by a microcontroller that processes sensor information and manages actuator operations. The microcontroller is embedded with a live classification model to ensure precise waste categorization. Data gathered by the system, which includes types of waste and the status of each bin, is sent to a cloud-based platform for further analysis. This data is made available via an Internet of Things (IoT) application intended for use by waste management teams. The objective of this research is to design and test an SWMS that elevates the precision of waste sorting and to assess its functionality through empirical trials. The report will detail the methodology, system design, and findings from the implementation and testing phases.
Year2023
TypeResearch Study Project Report (RSPR)
SchoolSchool of Engineering and Technology
DepartmentDepartment of Information and Communications Technologies (DICT)
Academic Program/FoSInternet of Things (IoT) Systems Engineering
Chairperson(s)Attaphongse Taparugssanagorn
Examination Committee(s)Chaklam Silpasuwanchai;Chantri Polprasert
Scholarship Donor(s)AIT Scholarships
DegreeResearch report (M. Eng.) - Asian Institute of Technology, 2023


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