Integrating artificial intelligence into smart home systems : enhancing efficiency, sustainability, and quality of life in Vietnam
Khanh Luan, Tran (2025)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025060319620
https://urn.fi/URN:NBN:fi:amk-2025060319620
Tiivistelmä
This thesis explores how Artificial Intelligence (AI) can be applied in smart home systems in Vietnam, using BKAV as a case example. The goal is to understand how AI can help make homes more efficient, sustainable, and comfortable for everyday life. By combining automation, sensors, and AI-driven tools, smart homes have the potential to simplify daily routines, reduce energy waste, and improve security. The research focuses on how these systems are being developed and used in Vietnam, with special attention given to real-life applications and challenges.
The study starts by explaining what AI is and how it has developed over time. It also looks at how smart home systems have evolved globally and in Vietnam. The theoretical part includes key technologies like machine learning and deep learning, along with the components that make smart homes work. It also highlights the main challenges that come with applying these technologies in the Vietnamese context, including technical, financial, legal, and social factors.
A large part of the thesis focuses on how AI is currently being used in Vietnam’s smart homes. It examines both government efforts and the role of private companies. The case study of BKAV shows how a local tech company is building its own smart home ecosystem using AI-based products like smart lighting, security cameras, and control systems.
Finally, the thesis offers a few suggestions for how BKAV could continue improving its smart home products in the future. It also answers the research questions, reflects on the reliability of the findings, and points out the study’s limitations. At the end, some ideas for future research are given, such as comparing BKAV’s approach to smart home development with companies in other countries.
The study starts by explaining what AI is and how it has developed over time. It also looks at how smart home systems have evolved globally and in Vietnam. The theoretical part includes key technologies like machine learning and deep learning, along with the components that make smart homes work. It also highlights the main challenges that come with applying these technologies in the Vietnamese context, including technical, financial, legal, and social factors.
A large part of the thesis focuses on how AI is currently being used in Vietnam’s smart homes. It examines both government efforts and the role of private companies. The case study of BKAV shows how a local tech company is building its own smart home ecosystem using AI-based products like smart lighting, security cameras, and control systems.
Finally, the thesis offers a few suggestions for how BKAV could continue improving its smart home products in the future. It also answers the research questions, reflects on the reliability of the findings, and points out the study’s limitations. At the end, some ideas for future research are given, such as comparing BKAV’s approach to smart home development with companies in other countries.