MATEC Web Conf.
Volume 153, 2018The 4th International Conference on Mechatronics and Mechanical Engineering (ICMME 2017)
|Number of page(s)||4|
|Section||Control Theory and Monitoring Technology|
|Published online||26 February 2018|
Application of Video Recognition Technology in Landslide Monitoring System
Key Laboratory of Geological Environment Monitoring Technology, MLR, 1305 Qiyii Zhong Road Baoding 071051, China
2 Center for Hydrogeology and Environmental Geology Survey, CGS, 1305 Qiyi Zhong Road Baoding 071051, China
The video recognition technology is applied to the landslide emergency remote monitoring system. The trajectories of the landslide are identified by this system in this paper. The system of geological disaster monitoring is applied synthetically to realize the analysis of landslide monitoring data and the combination of video recognition technology. Landslide video monitoring system will video image information, time point, network signal strength, power supply through the 4G network transmission to the server. The data is comprehensively analysed though the remote man-machine interface to conduct to achieve the threshold or manual control to determine the front-end video surveillance system. The system is used to identify the target landslide video for intelligent identification. The algorithm is embedded in the intelligent analysis module, and the video frame is identified, detected, analysed, filtered, and morphological treatment. The algorithm based on artificial intelligence and pattern recognition is used to mark the target landslide in the video screen and confirm whether the landslide is normal. The landslide video monitoring system realizes the remote monitoring and control of the mobile side, and provides a quick and easy monitoring technology.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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