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.
Bongaram et al. (Mon,) studied this question.