Multi-Modal Fire Detection, Visual Surveillance, and Occupancy Monitoring System Using ESP32-CAM and Embedded Sensor Fusion for Smart Safety Applications

This project presents an advanced smart safety system that integrates fire detection, visual surveillance, occupancy monitoring, and environmental sensing into a single embedded platform. The system utilizes an ESP32-CAM for real-time image capture, a flame sensor for fire detection, a PIR sensor for human presence monitoring, and a DHT11 sensor for temperature and humidity measurement. Sensor data is processed by the Arduino UNO and displayed on an OLED screen for continuous situational awareness.

When a fire hazard or unauthorized occupancy is detected, the system automatically activates a buzzer and high-power siren through a relay module while simultaneously capturing visual evidence using the ESP32-CAM. The multi-modal sensor fusion approach improves detection reliability, minimizes false alarms, and enables rapid emergency response. Designed for residential, industrial, commercial, and smart-building environments, the proposed framework provides a cost-effective and intelligent solution for enhancing safety, security, and environmental monitoring.