Smart Medicine Intake System

Muhammad Hafni Shakir, Ahmad Sulaimi Afkar and Muhd Zain, Nurzaid and Mohd Radzi, Nor Azira (2023) Smart Medicine Intake System. In: Research Exhibition in Mathematics and Computer Sciences (REMACS 6.0). Faculty of Computer and Mathematical Sciences, UiTM Cawangan Perlis, pp. 59-60. ISBN 978-629-97440-5-4

Abstract

IoT contributes to the transformation of the current industry into an elegant industry distinguished by data-driven decision making and the promotion of a new generation filled with innovative and valuable services. A smart healthcare system that ensures rapid and safe health services for patients. Healthcare practices that take place in private homes and are not overseen by a healthcare professional can be challenging, especially for the sick person. As a result, it is critical to check their medicine consumption, especially when guardians are absent. The objectives for this project are to develop a smart medicine intake system that will remind a sick person to take medication on time and will automatically be refilling the pillbox and the outcome of the developed system can be evaluated by using an IR temperature sensor, an IR sensor supports the Blynk app for continuous monitoring ofresults. This smart pillbox is prepared by using Node MCU and also implemented IOT through Blynk app receive notifications. The major responsibility of making people consume medicine is resolved by using this smart pillbox setup. Future researchers are recommended adding more sensors and establishing ways to collect medicine input, therefore optimizing the system's performance, and fixing any possible vulnerabilities.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Muhammad Hafni Shakir, Ahmad Sulaimi Afkar
UNSPECIFIED
Muhd Zain, Nurzaid
UNSPECIFIED
Mohd Radzi, Nor Azira
UNSPECIFIED
Subjects: T Technology > T Technology (General) > Information technology. Information systems
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Page Range: pp. 59-60
Keywords: IOT, Blynk, MLX90614, IR sensor, Node MCU, IR temperature sensor
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/138290
Edit Item
Edit Item

Download

[thumbnail of 138290.pdf] Text
138290.pdf

Download (49kB)

ID Number

138290

Indexing

Statistic

Statistic details