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AUTOMATED FIRE FIGHTING ROBOT

Pooja Pawar, Aditya Koli, Prasad Prabhune, Dr. S. B. Lande

Abstract—This paper demonstrate that how can we design and implement the Automated Fire Fighting Robot. Fires pose a significant threat to life, property, and the environment. As traditional firefighting methods have limitations, there is a growing need for innovative solutions to augment the capabilities of human firefighters. This research paper presents the development and evaluation of an automated firefighting robot designed to mitigate the challenges associated with fire emergencies. The proposed firefighting robot combines advanced sensing technologies, intelligent decision-making algorithms, and efficient mechanical systems to autonomously detect, locate, and suppress fires. It is equipped with a range of sensors, including thermal cameras, smoke detectors, and gas sensors, enabling real-time fire detection and identification in diverse environments. Through machine learning techniques, the robot can quickly analyze sensor data, assess the fire’s severity, and determine an optimal course of action. To suppress fires, the robot employs various firefighting mechanisms, such as water cannons, foam dispensers, and fire retardant sprayers. These mechanisms are strategically positioned on the robot to ensure effective fire extinguishment while considering safety and efficiency. Additionally, the robot is capable of navigating complex and hazardous environments using obstacle detection and avoidance algorithms.