PROTOTYPE OF SMART HOME SYSTEM USING RASPBERRY PI

• Main Author: Ezekiel Jalin, Freddy Jalin
• Format: Final Year Project Report
• Language: English; English
• Published: Universiti Malaysia Sarawak, (UNIMAS) 2023
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://ir.unimas.my/id/eprint/44248/1/Ezekiel%20Jalin%2024pgs.pdf; http://ir.unimas.my/id/eprint/44248/2/Ezekiel%20Jalin%20ft.pdf; http://ir.unimas.my/id/eprint/44248/
• Institution: Universiti Malaysia Sarawak

Smart home systems are gaining popularity in new house development these days. It offers automation in climate control, security, and increases general home safety while simultaneously improving quality of life. Many smart home systems have been developed with some incorporating advanced technologies such as Artificial Intelligence. However, as these systems are not widely used in general households, the features that are offered in the most basic systems are lacking in many ways. The modularity of these systems induces additional costs in integrating the most basic features such as security in addition to lighting automation. The proprietary software and hardware also raise the question of how secure the current systems in the market are with the rising security breach in many areas. This prototype development aims to incorporate all the basic features of a smart home system into a single inclusive system that is open-source while being secure. The development of this prototype follows the Agile methodology, in favour of its constant improvement methodology that is highly suitable for an ever-evolving area of technology. Comparing the proposed prototype and the market offerings, it is possible to incorporate most of the existing features of a smart home system except for the Artificial Intelligence enabled features such as voice recognition. This is due to the nature of the technology that needs a lot of model training which is prohibitive at the author’s capacity. This prototype incorporates elements of Internet-of-Things, wireless sensors, embedded systems, and Raspberry Pi.