Design and Implementation of a Home Appliance Automation Framework

Authors

  • Arooj Aslam College of Mechanics and Engineering Science, Hohai University, China Author https://orcid.org/0009-0003-6154-3121
  • Aroosa Aslam Department of Software Engineering, Fatima Jinnah Women University, Pakistan Author

DOI:

https://doi.org/10.57041/pqnp3e63

Keywords:

Automation, GSM, Android Application, Arduino, Home Appliances, Smart Phones, Short Messaging Service (SMS)

Abstract

The paper contains two sections. The first section explains the literature review about the existing Home automation systems with reference to the technologies used in each of them. The second section describes the proposed system’s design and implementation. Traditionally, the proposed system was to automate the home electrical devices and appliances for providing ease of use to the home owners within a limited scope, but later on, the advancements in the system led to a more scalable, flexible and remotely accessible approach towards control and management of home appliances. Nowadays, home automation is becoming more of a concern of cost-effectiveness and ubiquitous access. Numerous cost-effective technologies have been proposed, which are increasingly being used, but the concern of ubiquitous access is still a matter to be solved. There are cost-effective systems based on Wi-Fi, Bluetooth, etc. technologies, but their scope is limited as the home appliances can be controlled by the user only within the range of Bluetooth or from where the Wi-Fi network is available. These limitations are paving the way to the development of systems that will support cost-effective ubiquitous access to home electrical devices and appliances in the future. The proposed system will be cost-effective as it uses the mobile phone’s inbuilt SMS facility for the home appliances’ automation. The proposed system monitors the status of home appliances and controls them within the GSM network.

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Published

2024-12-30

How to Cite

Design and Implementation of a Home Appliance Automation Framework. (2024). Journal of Artificial Intelligence and Computing, 2(2), 6-14. https://doi.org/10.57041/pqnp3e63

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