DEVELOPMENT OF A FIREFIGHTING ROBOT USING MACHINE LEARNING DETECTION ALGORITHM AND ARTIFICIAL INTELLIGENCE EMBEDDED CAMERA

Summary

The Robotic Fire Extinguisher with Machine Learning detection algorithms and Artificial Intelligence (Al)
Embedded Camera represents a significant advancement in fire safety technology. This research developed a
robotic system equipped with state-of-the-art machine learning and artificial intelligence capabilities,
complemented by a night vision camera. The primary objective of this innovation is to autonomously detect
and combat fires in low-light or nighttime conditions, enhancing the efficiency and safety of fire response
teams. The integrated machine learning algorithms enable real-time fire detection and identification, while the
AI system intelligently navigates the environment to approach the fire source swiftly. The night vision camera
further extends the system's capabilities by providing clear and detailed visual data, even in complete darkness.
This critical feature ensures effective firefighting regardless of the lighting conditions, greatly reducing the
risk to both humans and property. This project's outcomes hold great potential for applications in industrial
settings, residential areas, and beyond, where fires can occur at any time. By combining cutting-edge
technology and innovative design, the Robotic Fire Extinguisher with Machine Learning and AI Embedded
Night Vision Camera project offers a promising solution to enhance fire safety, minimize response time, and
reduce the devastating impact of fires. This research is quite unique in terms of its implementation. The
Raspberry Pi was used to guide the FFP to navigate through an area and locate a fire source. When a fire is
detected, Fire-fighting Robotic (FFP) will attempt to locate the source in order to determine its location more
precisely. Once the location is determined, it will move out of its position, approach the fire source, and
extinguish the flame by using the built-in fire extinguishing submersible water system.

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