Smart Home Security with Voice Commands using IOT

This project outlines the design and execution of an IoT-driven smart home security system that incorporates voice control and real-time alert features to improve residential safety and user convenience. The system employs a NodeMCU (ESP8266) microcontroller linked to a Passive Infrared (PIR) sensor for motion detection and potential intrusion identification. Upon detecting movement, the system triggers a buzzer and lights through a relay module, while also capturing images with an ESP32-CAM module. These images are transmitted to the user via a Telegram-based alert system, facilitating real-time remote monitoring. Furthermore, users can easily control appliances using voice commands through platforms like Google Assistant. The proposed system is not only cost-effective and energy-efficient but also straightforward to implement, making it ideal for contemporary smart home applications. Experimental results indicate dependable performance in motion detection, alert transmission, and voice-controlled functionality.

Authors

Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-04-27
DOI
https://doi.org/10.64388/irev9i10-1716954
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Home Security with Voice Commands using IOT

Vivekananda Reddy Bongaram, Suresh Goud Bakaram, Devender Voodara, Rahul Patel Pingidi
Iconic Research and Engineering Journals
IoT-based Smart Home Systems
article

Smart Home Security with Voice Commands using IOT

Vivekananda Reddy Bongaram, Suresh Goud Bakaram, Devender Voodara, Rahul Patel Pingidi
article en

Abstract

This project outlines the design and execution of an IoT-driven smart home security system that incorporates voice control and real-time alert features to improve residential safety and user convenience. The system employs a NodeMCU (ESP8266) microcontroller linked to a Passive Infrared (PIR) sensor for motion detection and potential intrusion identification. Upon detecting movement, the system triggers a buzzer and lights through a relay module, while also capturing images with an ESP32-CAM module. These images are transmitted to the user via a Telegram-based alert system, facilitating real-time remote monitoring. Furthermore, users can easily control appliances using voice commands through platforms like Google Assistant. The proposed system is not only cost-effective and energy-efficient but also straightforward to implement, making it ideal for contemporary smart home applications. Experimental results indicate dependable performance in motion detection, alert transmission, and voice-controlled functionality.

Iconic Research and Engineering JournalsVol. 9(10)
Affordable and clean energy
Openalex Percentile: Top 7%
IoT-based Smart Home Systems
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