FLAME SENTRY: REVOLUTIONIZING FIRE SAFETY WITH AUTOMATIC RECOGNITION AND TRACKING IN INTELLIGENT FIRE ROBOTS

Abstract

Fire robots, a distinct category of robotic technology, serve as formidable substitutes for human firefighters in the midst of perilous fire emergencies marked by high temperatures, thick smoke, and oxygen depletion. These versatile automatons are capable of executing critical missions, including smoke ventilation and cooling, fire suppression, and reconnaissance and rescue operations. The deployment of intelligent fire robots in firefighting and rescue operations significantly enhances efficiency, concurrently safeguarding the well-being of human firefighters to the utmost extent. Among the pivotal components in the realm of fire robot research, flame recognition technology assumes a paramount role.

The global landscape of flame recognition and detection technology exhibits a rich tapestry of in-depth exploration, encompassing traditional flame detectors and sensors, alongside innovative digital image recognition techniques underpinned by emerging paradigms like artificial intelligence, pattern recognition, and neural networks. In comparison to the advanced state of international research in this domain, China's endeavors lag slightly behind. Evidently, the majority of flame detectors employed within domestic industries are imported products. Consequently, an in-depth exploration of indigenous flame recognition technology is imbued with practical significance, presenting an avenue for innovation and development