Chan, Yee Wei (2025) Intelligent medicine box system with AI-powered pill detection and IOT integration. Final Year Project, UTAR.
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Abstract
Taking medication as prescribed is a challenging task for most patients, particularly for those with busy lifestyles. In simple words, medication adherence can be defined as taking prescriptions at the right time and in the correct dosage. Adhering to medication schedules and dosages is crucial for managing chronic conditions such as hypertension and high cholesterol. Failure to follow the medication regimen can lead to several adverse consequences, including disease progression and the deterioration of health conditions. In the long run, this can ultimately reduce the overall quality of life, leading to an increased risk of long-term health consequences. To address this issue, an Intelligent Medicine Box System that leverages the power of Artificial Intelligence (AI) and the Internet of Things (IoT) has been developed to improve the user’s medication adherence. This book describes the development of an Intelligent Medicine Box System with AI-Powered Pill Detection and IoT Integration. The Intelligent Medicine Box System, which leverages IoT, provides the features of timely reminders via mobile application and the buzzer in the pill box to ensure the user takes their medication as prescribed. Besides that, the risk of running out of medicine will be reduced with the real-time pill tracker feature that automatically tracks and monitors supply levels and alerts users when refills are needed. In addition, the AI-powered pill detection and counting feature using a deep learning model can further detect foreign objects and potential missed doses, thus reducing contamination and enhancing medication adherence. By ensuring their medications are taken on time, this system can help in managing users' conditions more effectively, thereby improving their quality of life.
| Item Type: | Final Year Project / Dissertation / Thesis (Final Year Project) |
|---|---|
| Subjects: | R Medicine > RA Public aspects of medicine T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Engineering and Green Technology > Bachelor of Engineering (Honours) Electronic Engineering |
| Depositing User: | ML Main Library |
| Date Deposited: | 27 Aug 2025 16:22 |
| Last Modified: | 27 Aug 2025 16:22 |
| URI: | http://eprints.utar.edu.my/id/eprint/7171 |
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