Smart Home Automation System

Dbritto, Vanessa; Carwalo, Tejal; Chaudhari, Priya; Solaskar, Supriya; Machado, Sweedle

doi:10.2139/ssrn.3683056

Cited by 1 publication

(1 citation statement)

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“…Smart home automation systems benefit from quick responsiveness, precise accuracy, and easy-to-use voice command capabilities, improving efficiency, comfort, and accessibility [35]. Dbritto et al [38] and Zaro et al [39] examined the utilization of Wi-Fi and mobile applications for the purpose of control and monitoring. Zaro et al [39] also highlighted explicitly the use of Arduino technology to achieve cost-effectiveness.…”

Section: Theoretical Background 21 Emergence Of Smart Home Automation...mentioning

confidence: 99%

Development and Assessment of Internet of Things-Driven Smart Home Security and Automation with Voice Commands

Netinant,

Utsanok,

Rukhiran

et al. 2024

IoT

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With the rapid rise of digitalization in the global economy, home security systems have become increasingly important for personal comfort and property protection. The collaboration between humans, the Internet of Things (IoT), and smart homes can be highly efficient. Interaction considers convenience, efficiency, security, responsiveness, and automation. This study aims to develop and assess IoT-based home security systems utilizing passive infrared (PIR) sensors to improve user interface, security, and automation controls using voice commands and buttons across different communication protocols. The proposed system incorporates controls for lighting and intrusion monitoring, as well as assessing both the functionality of voice commands and the precision of intruder detection via the PIR sensors. Intelligent light control and PIR intruder detection with a variable delay time for response detection are unified into the research methodology. The test outcomes examine the average effective response time in-depth, revealing performance distinctions among wireless fidelity (Wi-Fi) and fourth- and fifth-generation mobile connections. The outcomes illustrate the reliability of voice-activated light control via Google Assistant, with response accuracy rates of 83 percent for Thai voice commands and 91.50 percent for English voice commands. Moreover, the Blynk mobile application provided exceptional precision regarding operating light-button commands. The PIR motion detectors have a one hundred percent detection accuracy, and a 2.5 s delay is advised for PIR detection. Extended PIR detection delays result in prolonged system response times. This study examines the intricacies of response times across various environmental conditions, considering different degrees of mobile communication quality. This study ultimately advances the field by developing an IoT system prepared for efficient integration into everyday life, holding the potential to provide improved convenience, time-saving effectiveness, cost-efficiency, and enhanced home security protocols.

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