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Pipe gallery video intelligent analysis method and system based on cloud processing

A technology of intelligent analysis and pipe gallery, which is applied in the field of computer digital image processing and pattern recognition, intelligent analysis of pipe gallery video, and can solve the problems of automatic alarm, low accuracy rate, and low degree of intelligence

Active Publication Date: 2021-05-28
长兴云尚科技有限公司
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AI Technical Summary

Problems solved by technology

Existing implementation methods generally have the following problems in video analysis methods: 1. Low accuracy and poor robustness, and only have good results in certain specific scenarios; 2. Low degree of intelligence, only simple management The target in the corridor is detected, and it cannot intelligently identify whether the scene is normal. Once an abnormality occurs, it will automatically alarm

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  • Pipe gallery video intelligent analysis method and system based on cloud processing
  • Pipe gallery video intelligent analysis method and system based on cloud processing
  • Pipe gallery video intelligent analysis method and system based on cloud processing

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Embodiment Construction

[0043] In order to make the purpose, technical effects and technical solutions of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention; obviously, the described embodiments It is a part of the embodiment of the present invention. Based on the disclosed embodiments of the present invention, other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall all fall within the protection scope of the present invention.

[0044] see figure 1 , a cloud-based intelligent analysis method for tunnel video in an embodiment of the present invention, comprising the following steps:

[0045] Step 1: Obtain the normal and abnormal learning sample sets of the pipe gallery;

[0046] Step 2: use the data of the sample set to train the deep neural network;...

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Abstract

The invention discloses a pipe gallery video intelligent analysis method and system based on cloud processing. The method comprises the following steps: acquiring normal and abnormal learning sample sets of a pipe gallery; training a deep neural network classifier; adopting the trained deep neural network classifier to carry out intelligent analysis on newly acquired and to-be-recognized images; carrying out data enhancement processing, and eliminating frequency nonuniform interference among sample categories; using a picture enhancement algorithm to pre-process an image with too dark brightness, and eliminating weak light source interference; and carrying out time continuity analysis, and eliminating the camera shaking influence. According to the invention, the pipe gallery video can be effectively identified and analyzed, abnormal early warning can be quickly carried out, and the efficiency of daily operation, maintenance and management of the pipe gallery is improved.

Description

technical field [0001] The invention belongs to the technical field of computer digital image processing and pattern recognition, relates to the field of intelligent analysis of pipe gallery video, and in particular to a method and system for intelligent analysis of pipe gallery video based on cloud processing. Background technique [0002] The comprehensive pipe gallery (also known as "common ditch" or "common pipeline") is an underground urban pipeline comprehensive corridor, that is, a tunnel space is built underground in the city, and various engineering pipelines such as power, communication, gas, heating, water supply and drainage are integrated It is an important infrastructure and "lifeline" to ensure the operation of the city. The construction of the pipe gallery is of great significance. In the daily maintenance of the pipe gallery, it mainly relies on manual inspection or robot inspection to observe and monitor video analysis and judgment. When the construction o...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/41G06N3/047G06F18/285
Inventor 钱学明王萱汤培勇王泽远
Owner 长兴云尚科技有限公司
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