Research on the Design and Educational Integration Application of Intelligent Fire Fighting Vehicle based on Machine Vision Technology
Abstract
This paper presents the design and educational application of an intelligent firefighting vehicle based on machine vision technology. The system integrates flame detection, autonomous navigation, and real-time fire suppression into a compact and modular platform.
By leveraging OpenCV and embedded control systems, the vehicle can identify fire sources through image processing and respond with
automatic extinguishing actions. Beyond its technical capabilities, the project is designed to support AI and robotics education. It offers
students a hands-on experience in computer vision, embedded systems, and interdisciplinary problem-solving. The platform is adaptable
to various teaching scenarios, including vocational training, project-based learning, and AI curriculum integration. This research demonstrates how emerging technologies can be effectively applied in education to bridge theory and practice, foster innovation, and enhance
STEM learning outcomes.
By leveraging OpenCV and embedded control systems, the vehicle can identify fire sources through image processing and respond with
automatic extinguishing actions. Beyond its technical capabilities, the project is designed to support AI and robotics education. It offers
students a hands-on experience in computer vision, embedded systems, and interdisciplinary problem-solving. The platform is adaptable
to various teaching scenarios, including vocational training, project-based learning, and AI curriculum integration. This research demonstrates how emerging technologies can be effectively applied in education to bridge theory and practice, foster innovation, and enhance
STEM learning outcomes.
Keywords
Machine Vision; Firefighting Robot; AI Education; Embedded Systems; STEM Learning
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PDFReferences
[1] Zhu Youhao, Wu Jun, Berlin. Research and Application of the Collaborative Mechanism for Fire Patrol Robot Systems [C]// Academic
Work Committee of China Fire Association (2023) Smart Fire Protection.2023.
[2] Zhang Yang, Liu Guocheng, Wu Weihang. Design and Application of Dual-Wheel Fire Robots for Rail Transit [J]. 2023.
[3] Industrial Engineering and Management. Research on the Design and Path Planning of Inspection Fire Robots [D]. 2023.
DOI: http://dx.doi.org/10.70711/neet.v3i7.7243
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