{"title":"Design and experimental research of video detection system for ship fire","authors":"J. Feng, Yang Feng, Luo Ningzhao, Wu Benxiang","doi":"10.1109/IICSPI48186.2019.9095929","DOIUrl":null,"url":null,"abstract":"In order to make up for the shortcomings of traditional fire detectors and improve the reliability of fire alarm, based on the Raspberry Pi hardware conditions and the Keras deep learning framework, this paper uses the lightweight direct regression detection algorithm YOLO v3tiny to implement a small local video identification system for ship fire. Based on video test and fire simulation, the RpiFire system has achieved high accuracy in high recall rate and can meet the needs of ship fire detection.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICSPI48186.2019.9095929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In order to make up for the shortcomings of traditional fire detectors and improve the reliability of fire alarm, based on the Raspberry Pi hardware conditions and the Keras deep learning framework, this paper uses the lightweight direct regression detection algorithm YOLO v3tiny to implement a small local video identification system for ship fire. Based on video test and fire simulation, the RpiFire system has achieved high accuracy in high recall rate and can meet the needs of ship fire detection.
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