Automatic early detection of wildfire smoke with visible-light cameras and EfficientDet

IF 1.9 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Journal of Fire Sciences Pub Date : 2023-04-18 DOI:10.1177/07349041231163451
A. Fernandes, Andrei Borissovitch Utkin, Paulo Chaves
{"title":"Automatic early detection of wildfire smoke with visible-light cameras and EfficientDet","authors":"A. Fernandes, Andrei Borissovitch Utkin, Paulo Chaves","doi":"10.1177/07349041231163451","DOIUrl":null,"url":null,"abstract":"The ability of EfficientDet, a framework developed in 2019 for object detection, to automatically detect smoke plumes at a distance of several kilometers is demonstrated. Recent articles have raised concerns about the effectiveness of EfficientDet in fire detection applications, with over 40% of false positives reported. The proposed EfficientDet model achieved a true detection rate of 80.4% and a false-positive rate of 1.13% on a testing set. The data set used in this study, which includes 14,125 smoke and 21,203 non-smoke images, is one of the largest, or even the largest, of its kind reported in the literature for images containing smoke plumes. Our results surpass those of a previous study that used the same data set and are more reliable and realistic than those reported by others, which may seem better, but were calculated using smaller and less representative data sets.","PeriodicalId":15772,"journal":{"name":"Journal of Fire Sciences","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Fire Sciences","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1177/07349041231163451","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1

Abstract

The ability of EfficientDet, a framework developed in 2019 for object detection, to automatically detect smoke plumes at a distance of several kilometers is demonstrated. Recent articles have raised concerns about the effectiveness of EfficientDet in fire detection applications, with over 40% of false positives reported. The proposed EfficientDet model achieved a true detection rate of 80.4% and a false-positive rate of 1.13% on a testing set. The data set used in this study, which includes 14,125 smoke and 21,203 non-smoke images, is one of the largest, or even the largest, of its kind reported in the literature for images containing smoke plumes. Our results surpass those of a previous study that used the same data set and are more reliable and realistic than those reported by others, which may seem better, but were calculated using smaller and less representative data sets.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用可见光相机和EfficientDet自动早期检测野火烟雾
EfficientDet是一个于2019年开发的用于物体检测的框架,它能够自动检测几公里外的烟羽。最近的文章对EfficientDet在火灾探测应用中的有效性提出了担忧,报告的假阳性率超过40%。所提出的EfficientDet模型在测试集上实现了80.4%的真检测率和1.13%的假阳性率。这项研究中使用的数据集包括14125张烟雾图像和21203张非烟雾图像,是文献中报道的含有烟羽的图像中最大甚至最大的数据集之一。我们的结果超过了之前使用相同数据集的研究,比其他人报告的结果更可靠、更现实,这些结果可能看起来更好,但使用的是更小、更不具代表性的数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Fire Sciences
Journal of Fire Sciences 工程技术-材料科学:综合
CiteScore
4.00
自引率
0.00%
发文量
14
审稿时长
2.5 months
期刊介绍: The Journal of Fire Sciences is a leading journal for the reporting of significant fundamental and applied research that brings understanding of fire chemistry and fire physics to fire safety. Its content is aimed toward the prevention and mitigation of the adverse effects of fires involving combustible materials, as well as development of new tools to better address fire safety needs. The Journal of Fire Sciences covers experimental or theoretical studies of fire initiation and growth, flame retardant chemistry, fire physics relative to material behavior, fire containment, fire threat to people and the environment and fire safety engineering. This journal is a member of the Committee on Publication Ethics (COPE).
期刊最新文献
Quantification of hydrogen cyanide in fire effluent Experimental study and modelling of real-scale vertical cable tray fires Quantifying disparities in fire-related mortality of US career and volunteer firefighters: A 43-year database study Synergistic effect of nano silicon and piperazine pyrophosphate/melamine polyphosphate on flame retardancy of polypropylene Modelling of the swelling behaviour of a fire retarded material under a cone calorimeter
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1