Design of mobile disposal platform for emergency and joint defense based on Hadoop
In response to urban security issues, in order to achieve credible warning, identify potential emergencies and deal with them in a timely manner, this paper builds an identity recognition emergency joint defense mobile processing platform based on Hadoop, uses HDFS Streaming to read video data, and...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
National Computer System Engineering Research Institute of China
2022-04-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000148327 |
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| Summary: | In response to urban security issues, in order to achieve credible warning, identify potential emergencies and deal with them in a timely manner, this paper builds an identity recognition emergency joint defense mobile processing platform based on Hadoop, uses HDFS Streaming to read video data, and uses the MapReduce framework to calculate Distributed analysis of video data in the cluster, using OpenCV integrated LBPH algorithm to achieve effective tracking of video targets. The platform functions cover the entire process of safety management and emergency joint defense, such as sample information collection, hidden danger discovery, information release, and emergency response. It can directly serve the emergency site management, with strong adaptability and convenience. |
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| ISSN: | 0258-7998 |