FireBot - An Autonomous Surveillance Robot for Fire Prevention, Early Detection and Extinguishing

J. Balen, Davor Damjanović, P. Maric, Krešimir Vdovjak, Matej Arlovic, Goran Martinović
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引用次数: 5

Abstract

Every year, fire is responsible for numerous deaths, as well as huge material losses. Therefore, prevention and early detection of fire have become a priority for society, as well as the main research and development issue for many scientists and various industries. This paper describes our work in the development of FireBot, an autonomous surveillance robot. The Firebot is equipped with modern technologies and state-of-the-art navigational and computer vision methods that enable autonomous navigation, obstacle avoidance, video surveillance, fire prevention and detection, and fire extinguishing. It utilizes both infrared thermal (IRT) and RGB cameras paired with a modern convolutional neural network (CNN) for fault and fire detection, as well as various other sensors for analyzing air composition, processing of surrounding sounds, and detecting irregularities in its environment in general. The best performing CNN was implemented and tested in real-world environments for fire detection purposes, the results of which are presented in this paper. A state-of-the-art SLAM algorithm paired with LiDAR and a depth camera is used for mapping and navigation. The architecture presented in this paper, along with all functionalities planned for future work, represents an innovative autonomous surveillance system that will make a great contribution in the field of fire prevention and detection.
FireBot -一种用于火灾预防、早期发现和灭火的自主监视机器人
每年,火灾造成无数人死亡,以及巨大的物质损失。因此,火灾的预防和早期发现已经成为社会的优先事项,也是许多科学家和各个行业的主要研究和发展问题。本文介绍了我们在开发自主监控机器人FireBot方面所做的工作。Firebot配备了现代技术和最先进的导航和计算机视觉方法,可实现自主导航、避障、视频监控、防火和探测以及灭火。它利用红外热(IRT)和RGB相机与现代卷积神经网络(CNN)配对,用于故障和火灾检测,以及各种其他传感器,用于分析空气成分,处理周围的声音,并检测其环境中的一般不规则性。表现最好的CNN在真实环境中进行了实施和测试,用于火灾探测目的,本文给出了结果。最先进的SLAM算法与激光雷达和深度相机配合使用,用于绘图和导航。本文提出的体系结构以及为未来工作规划的所有功能代表了一种创新的自主监视系统,将在防火和探测领域做出巨大贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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