The Smart Fire Sentinel project introduces an innovative solution for fire detection and intruder monitoring through a Wi-Fi-controlled robotic platform powered by a Raspberry Pi. This system integrates multiple sensors, including Passive Infrared (PIR) sensors for detecting human presence and smoke sensors for identifying fire hazards. Additionally, a Pi Camera is employed for real-time surveillance, enabling visual verification of detected threats and fire. When intruder or fire is detected, the robot will sending the alert mail to the respective authorities. When smoke or unauthorized movement is detected, the robot activates a buzzer to alert individuals in the vicinity. Concurrently, the system sends instant SMS via GSM to predefined contacts, providing immediate notification of potential emergencies. The integration of Wi-Fi connectivity allows for remote control of the robot, enhancing user interaction and situational awareness. This comprehensive approach not only facilitates rapid response to fire incidents and security breaches but also combines fire safety with robotic mobility. The Smart Fire Sentinel aims to significantly improve safety measures in homes and businesses, offering a proactive and efficient solution for emergency management and surveillance.  

The main objective of this project is:

• Realtime fire and intruder detection and alerting system.
• GSM based SMS alerts.
• Wi-Fi based wireless controlling of robot direction and movement.
• PIR based automatic motion detection.
• Smoke sensor based automatic smoke detection.

    The major building blocks of this project are:

• Battery power supply.
• Raspberry Pi3.
• Pi camera.
• SD card.
• LCD display.
• Buzzer.
• GSM.
• smoke.
• PIR.
• L293D with DC motors.

    Software’s Used:  

1. Python language.
2. Linux Operating System.
3. IOT technology.

 

Block diagram:  

video: