Abstract:

This project presents the design and implementation of a smoke detection and alert robot utilizing Arduino as the central microcontroller.

The system integrates multiple sensors and modules to detect smoke, navigate autonomously, and alert users in real time.

The robot employs an MQ-9 sensor to detect smoke, which triggers an alert mechanism.

The navigation is facilitated by three infrared (IR) sensors for line following, while the motor driver controls the robot's wheels.

Upon detecting smoke, the robot activates a GSM module to send an alert message to the user and illuminates a blinking LED to provide a visual warning.

This system combines sensor data processing with real-time communication to enhance safety and automation in smoke detection scenarios.

The project discusses the hardware components, software algorithms, and integration challenges encountered during development.

The performance and effectiveness of the system are evaluated through practical tests, demonstrating its capability to detect smoke and provide timely alerts while navigating predefined paths.

• Develop a Functional Prototype: Design and build a fully operational prototype of a smoke detection and alert robot using Arduino as the central microcontroller. This includes integrating all necessary hardware components and ensuring their proper interaction.
• Implement Smoke Detection: Integrate the MQ-9 sensor to accurately detect smoke and other gases. Configure the sensor to trigger alerts based on predefined smoke concentration thresholds.
• Enable Autonomous Navigation: Utilize three infrared (IR) sensors and a motor driver to enable the robot to follow a line or navigate around obstacles autonomously. Ensure the robot can effectively maneuver and adapt to various environmental conditions.
• Establish Real-Time Alert System: Incorporate a GSM module to send instant alerts to users when smoke is detected. This objective includes developing the communication protocol and ensuring reliable message delivery.
• Integrate Visual Indicators: Implement an LED system to provide a visual indication of smoke detection. Ensure the LED blinks to alert users when smoke is present, enhancing the system's visibility and user interaction.
• Evaluate System Performance: Conduct thorough testing to evaluate the robot's effectiveness in smoke detection, navigation, and alert functionalities. Analyze the performance in different scenarios to ensure reliability and accuracy.
• Refine and Optimize Design: Based on testing feedback, refine and optimize the hardware and software components of the robot. Address any issues related to sensor accuracy, navigation efficiency, or alert communication.