AI BASED AUTOMATIC FIRE EXTINGUISHER SYSTEM IN VEHICLE

Abstract: The integration of Artificial Intelligence (AI) with advanced technologies has significantly enhanced safety measures in various domains, including transportation. In this project, we propose an innovative AI-based automatic fire extinguisher system designed specifically for vehicles. This system employs Arduino Uno microcontroller, GSM module, GPS, and fire sensors to detect and mitigate fire incidents effectively. The primary objective of this system is to detect fire outbreaks in vehicles at an early stage and promptly initiate fire extinguishing procedures to minimize damage and ensure passenger safety. The integration of AI algorithms enhances the system's capability to accurately identify fire hazards while minimizing false alarms. The system utilizes fire sensors strategically installed within the vehicle's compartments to continuously monitor the surrounding environment for any signs of fire. Upon detecting abnormal temperature rise or smoke indicative of a fire outbreak, the sensors trigger the Arduino Uno microcontroller. The Arduino Uno, functioning as the central processing unit, employs AI algorithms to analyze sensor data and determine the severity of the fire. Based on the analysis, the system activates the appropriate response mechanisms to address the situation effectively. In case of a confirmed fire incident, the system initiates the deployment of the onboard fire extinguisher. The AI algorithms optimize the extinguisher's deployment by considering factors such as fire location, intensity, and vehicle occupants' safety. Additionally, the system utilizes the GPS module to transmit the vehicle's location to emergency services, facilitating swift response and assistance. Furthermore, the integration of the GSM module enables real-time communication capabilities, allowing the system to send alerts and notifications to relevant stakeholders, including vehicle owners, emergency contacts, and authorities. This ensures timely intervention and coordinated efforts to mitigate the fire incident.

Keywords: IOT, smart industrial trolley.