A Comprehensive Review of Secure and Intelligent Smart Home Automation Systems Integrating Speech Recognition and Energy Monitoring

Abstract

The smart home automation systems have appeared to be the transforming solution that had been taken upon enhancing convenience, security, and energy efficiency in modern living environments. This review paper discusses a detailed explanation of secure and smart home automation systems integrating speech recognition and power measurement functions. In the context of smart home technologies, the paper discusses the gradual upward movement of artificial intelligence, IoT, and embedded systems in deploying home automation. Particular attention is vested on speech recognition approaches, which enables the controlling of household appliances with spoken commands, thus easing access and user experience. The hybrid power-measurement module had been integrated and investigated for energy measurement applications combining real-time energy monitoring with cost and set-point implementation. The paper also reviews the different academically adopted security measures in place to secure the smart home network against cyber-attacks, including encryption protocols, authentication mechanisms, and intrusion detection systems. Comparative analysis examines various existing models for their strengths, weaknesses, and evaluation from Performance points of view like accuracy, latency, and energy efficiency. Also addressed are the challenges such as data privacy, system interoperability, scalability, and reliability. The review also highlights new paradigms including edge computing, AI for automation, and blockchain for afterward improvement of security. Finally, the article offers a comprehensive source for rightr design and implementation for secure, feasible, user-friendly smart homes that can then steer future research and development in this dynamic area.