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Home Automation System: Design And Implementation of Multilingual Voice-Controlled Smart Home Using AI-Thinker Offline Voice Module and IoT Microcontroller
Subject area: Science,Engineering and Technology · Area of research: Voice-Controlled Smart Home Systems
DOI: https://doi.org/10.64388/IREV9I10-1716472
Abstract
IoT has brought in the home automation system which allows the user to control the devices remotely, provides energy efficiency, and enhances security. The dependency on cloud connectivity creates latency problems, privacy issues, and vulnerability to network outages. This study presents a hybrid home automation system that integrates both offline and online control features in order to eliminate these problems. The proposed system uses an AI-Thinker VC-02 offline voice recognition module for local speech processing along with an ESP8266 microcontroller for remote access through the cloud. One of the unique features of this implementation is its multilingual voice command processing capability, where users can operate home appliances in several languages without needing the internet connectivity for offline mode operation. The system architecture is based on edge computing principles by processing voice commands locally via a 32-bit RISC core processor inside the VC-02 module which supports up to 150 custom voice commands in different languages. Experimental results show that while working in offline mode it achieves more than 95% accuracy of voice recognition with less than 500 ms response latency; whereas online mode updates real-time device status at very low power consumption. This implementation tackles key issues in smart home design such as privacy preservation, system reliability during network failures, user accessibility across language barriers, and cost-effectiveness for residential deployment Performance metrics are presented along with security considerations and a comparative analysis of traditional home automation technologies. This work will further add to the emerging paradigm of hybrid smart homes that try to balance between cloud connectivity convenience and offline processing privacy & robustness.
Keywords
Home Automation, IoT, AI-Thinker VC-02, ESP8266, Offline Voice Recognition, Multilingual Processing, Edge Computing, Smart Home, Hybrid Systems
How to cite this paper
@article{1716472,
author = {Dr. Sayyed Naimuddin, Fatima Rizwan, Shraddha Jinendra Gondane, Antara Vilas Pund, Arpit Dewase; Takshil Gajbhiye},
title = {Home Automation System: Design And Implementation of Multilingual Voice-Controlled Smart Home Using AI-Thinker Offline Voice Module and IoT Microcontroller},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {1464-1471},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716472.pdf},
abstract = {IoT has brought in the home automation system which allows the user to control the devices remotely, provides energy efficiency, and enhances security. The dependency on cloud connectivity creates latency problems, privacy issues, and vulnerability to network outages. This study presents a hybrid home automation system that integrates both offline and online control features in order to eliminate these problems. The proposed system uses an AI-Thinker VC-02 offline voice recognition module for local speech processing along with an ESP8266 microcontroller for remote access through the cloud. One of the unique features of this implementation is its multilingual voice command processing capability, where users can operate home appliances in several languages without needing the internet connectivity for offline mode operation. The system architecture is based on edge computing principles by processing voice commands locally via a 32-bit RISC core processor inside the VC-02 module which supports up to 150 custom voice commands in different languages. Experimental results show that while working in offline mode it achieves more than 95% accuracy of voice recognition with less than 500 ms response latency; whereas online mode updates real-time device status at very low power consumption. This implementation tackles key issues in smart home design such as privacy preservation, system reliability during network failures, user accessibility across language barriers, and cost-effectiveness for residential deployment Performance metrics are presented along with security considerations and a comparative analysis of traditional home automation technologies. This work will further add to the emerging paradigm of hybrid smart homes that try to balance between cloud connectivity convenience and offline processing privacy & robustness.},
keywords = {Home Automation, IoT, AI-Thinker VC-02, ESP8266, Offline Voice Recognition, Multilingual Processing, Edge Computing, Smart Home, Hybrid Systems},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716472}
}