AUTOMATIC FLAME DETECTION AND TRACKING IN SMART FIRE ROBOTS USING STC89C52 FOR IMPROVED SAFETY

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-04
DOI
https://doi.org/10.5281/zenodo.14276256
Primary Topic
Fire Detection and Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

AUTOMATIC FLAME DETECTION AND TRACKING IN SMART FIRE ROBOTS USING STC89C52 FOR IMPROVED SAFETY

Zenodo (CERN European Organization for Nuclear Research)
Fire Detection and Safety Systems
article

AUTOMATIC FLAME DETECTION AND TRACKING IN SMART FIRE ROBOTS USING STC89C52 FOR IMPROVED SAFETY

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Anhui University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 60%
Fire Detection and Safety Systems
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