Video analysis system based on deep learning

A video analysis and deep learning technology, applied in the field of video analysis system based on deep learning, can solve the problems of high data processing pressure on the server, limited camera capacity, limited camera, etc.

Inactive Publication Date: 2018-11-16
ZDST COMM TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Currently, the video uploaded by the camera is analyzed uniformly through the server, and the data processing pressure of the server is hi

Method used

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  • Video analysis system based on deep learning
  • Video analysis system based on deep learning
  • Video analysis system based on deep learning

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Experimental program
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Embodiment 1

[0035] figure 1 A schematic diagram of a video analysis system based on deep learning provided by Embodiment 1 of the present invention is shown. The video analysis system based on deep learning includes: a camera 11, a video analysis terminal 12 connected in communication with the camera, a video management server 13 connected in communication with the video analysis terminal, and a video analysis depth connected in communication with the video analysis terminal and the video management server respectively. learning server 14 .

[0036] The video analysis deep learning server 12 is used to obtain the first recognition model through neural network training.

[0037] The camera 11 is used to acquire the image data of the fire monitoring point and send it to the video analysis terminal; the image data includes video data and / or image data.

[0038] Wherein, the first recognition model is obtained by inputting the image data currently collected by the camera 11 as a training sa...

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Abstract

The invention relates to the technical field of fire fighting monitoring and provides a video analysis system based on deep learning. The system comprises a camera, a video analysis terminal in communication connection with the camera, a video management server, and a video analysis deep learning server in communication connection with the video analysis terminal and the video management server, wherein the video analysis deep learning server is used for acquiring image data at a fire fighting monitoring point through a first recognition model camera obtained by neural network training and transmitting the image data to the video analysis terminal, and the image data comprise video data and/or image data; and the video analysis terminal is used for receiving the image data transmitted by the camera, carrying out classification and recognition on the image data through the first recognition model, acquiring a danger recognition result and transmitting the result to the video managementserver. The deep learning method is adopted to improve the image recognition accuracy, false or missed detection is avoided maximally, and the practicability and the usability are strong.

Description

technical field [0001] The invention belongs to the technical field of fire safety assessment, and in particular relates to a video analysis system based on deep learning. Background technique [0002] With the installation of various cameras that can be seen everywhere, it is possible to obtain fire alarm information in real time through the camera in the smart fire protection system, such as obtaining flames, smoke, blockage of fire exits, and absence of on-duty personnel through video monitoring, and then automatically alarm Or alert the relevant people. At present, the video uploaded by the camera is uniformly analyzed through the server, and the data processing pressure of the server is high. Therefore, the number of cameras that can be analyzed by a single server is limited, which limits the capacity of the system's cameras. Contents of the invention [0003] In view of this, the embodiment of the present invention provides a video analysis system based on deep lear...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G08B17/12
CPCG08B17/125G06V20/40G06V10/95G06V20/52G06F18/214
Inventor 王元鹏曾杨聂永斌
Owner ZDST COMM TECH CO LTD
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