首页 | 本学科首页   官方微博 | 高级检索  
     检索      

火情自动视觉检测系统的设计
引用本文:郭红转,罗刘敏.火情自动视觉检测系统的设计[J].应用声学,2015,23(7):2495-2496, 2500.
作者姓名:郭红转  罗刘敏
作者单位:南阳理工学院,河南理工大学万方科技学院郑州校区
摘    要:针对现有智能楼宇火情自动视觉检测系统中对火情严重程度的判断功能不足,无法提供多样性信息的问题,设计并实现了智能火情多状态视觉检测系统,监控系统设计了底层控制站CCD视觉信息采集模块和DP总线信息传递模块,增加了智能火情多状态视觉检测系统的功能,利用火情检测图像的均值作为初始背景,根据不同火情事件获取背景图像进行实时更新,依据DSP处理器得到二值图上目标特征设定不同阀值,判断发生了哪类火情,对火情不同事件识别率达到了95%,适用于新一代的智能楼宇监控系统应用。

关 键 词:火情图像  计算机视觉  识别

Design of Fire Automatic Visual Detection System
Guo Hongzhuan and Luo Liumin.Design of Fire Automatic Visual Detection System[J].Applied Acoustics,2015,23(7):2495-2496, 2500.
Authors:Guo Hongzhuan and Luo Liumin
Abstract:In view of the existing in intelligent building fire automatic visual inspection system to judge the severity of the fire function is insufficient, cannot provide diversity information, designs and realizes intelligent fire state more visual inspection system, monitoring system design of the underlying control station CCD visual information acquisition module and DP bus information transmission module, increase the function of intelligent fire state more visual inspection system, the mean of the fire detection image is used as the initial background, according to different fire event to obtain real-time update the background image, based on DSP processors are binary map object feature set different threshold, determine what type of fire happens, the different fire event recognition rate reached 95%, is suitable for the new generation of intelligent building monitoring system application.
Keywords:remote  sensing image: computer  vision: recognition:
点击此处可从《应用声学》浏览原始摘要信息
点击此处可从《应用声学》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号