IoT-Enabled Smart Surveillance System for Real-Time Home Security Monitoring
Abstract
This paper proposes a microcontroller-based surveillance system for enhanced home security. Utilizing ESP32 microcontrollers, the ESP32-Cam captures facial images for advanced recognition software running onboard. This enables identification of authorized individuals and triggers a solenoid lock for automatic door unlocking. Additionally, a PIR sensor detects movement, prompting real-time video capture by the ESP32-Cam. Blynk software integrates seamlessly, transmitting the captured video feed to a mobile Blynk application for remote home monitoring. Users can further leverage Blynk to control the lock system and activate the buzzer as an alarm system, all from their mobile devices. This project aligns with the growing trend of integrating advanced surveillance and identification technologies for enhanced security. The proposed technology for the surveillance camera system offers a comprehensive and convenient home solution for improved protection against potential threats.