摘要
文章将图像识别和大数据分析技术引入禁烟监控系统中,通过对视频大数据中的抽烟行为和起火冒烟特征识别,以烟雾传感器对弱光环境和视频监测盲区进行辅助监控,由系统发声示警,将视频摘要和其他重要信息传输给PC端和手机端.该系统可为禁烟区域的抽烟行为监督、火灾险情报警及处理、责任追溯等提供有效保障.
In this paper, the image recognition and big data analysis technology is introduced into the anti-smoking monitoring system By identifying smoking behavior and fire smog in large video data, and smoke sensor monitoring weak light environment and blind spot in the video, this system is able to transfer video image and other important information to the PC and mobile phone, sending voice warning at the same time This system can provide effective protection by supervising smoking behavior, triggering fire alarm, and tracing liability in non-smoking areas.
作者
李欣
LlXin(School of Electronic and Communication Engineering, Shenzhen Polytechnic, Shenzhen, Guangdong 518055, China)
出处
《深圳职业技术学院学报》
CAS
2019年第3期13-16,共4页
Journal of Shenzhen Polytechnic
关键词
视觉
大数据
嗅觉
控烟系统
vision
big data
smell
anti-smoking monitoring system
