A spatial reconstruction method of video neuron nodes

A space reconstruction and neuron technology, applied in neural architecture, biological neural network models, etc., can solve problems such as high error rate, poor real-time performance, and lack of pertinence

Inactive Publication Date: 2019-01-04
CLOUDVOS GUANGZHOU TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the technical problems existing in the existing technology of the video surveillance system with many monitoring images, lack of pertinence, poor real-time performance, and high error rate, the purpose of the present invention is to provide a method for spatial reconstruction of video neuron nodes

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  • A spatial reconstruction method of video neuron nodes
  • A spatial reconstruction method of video neuron nodes
  • A spatial reconstruction method of video neuron nodes

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Embodiment Construction

[0028] The present invention will be further elaborated below in conjunction with the accompanying drawings and specific embodiments.

[0029] like figure 1 As shown, a method for spatial reconstruction of a video neuron node in this embodiment includes the following steps:

[0030] The first step is to establish artificial video neuron nodes for each video perception unit and network them to form a video neural network.

[0031] In the second step, the massive video image information sensed by neuron nodes is added to the time axis for spatial reconstruction, and then connected to the back-end management platform for unified management.

[0032] The video perception unit includes a high-point video unit and a low-point video unit, and each high-point video unit and low-point video unit establishes an artificial video neuron node and networks it.

[0033] In this embodiment, the high-point video unit conducts global monitoring of the area, superimposes a holographic location...

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Abstract

The invention discloses a spatial reconstruction method of a video neuron node, comprising the following steps: S1, establishing an artificial video neuron node for each video sensing unit and networking to form a video neural network; S2, the massive video image information perceived by each video neuron node being added into the time axis for spatial reconstruction, and then accessed to the back-end management platform for unified management. An artificial video neuron node is established for each video sensing unit and is networked, a video neural network is formed, and the massive video image information perceived by each video neuron node is added into the timeline to form a 'one machine one file' for spatial reconstruction, and then the video image information is accessed to the back-end management platform for unified management, so as to provide the integration and sharing function for the cross-regional and cross-departmental video image information resources, realize the standardization cascade / interconnection among various heterogeneous platforms, and realize the standardization transformation of non-national standard platforms.

Description

technical field [0001] The invention belongs to the field of computer software, and in particular relates to a method for spatial reconstruction of video neuron nodes. Background technique [0002] The traditional video surveillance system is composed of five major parts: camera, transmission, control, display, record and registration. The camera transmits the video image to the control host through the coaxial video cable, and the control host then distributes the video signal to each monitor and video recording device, and simultaneously records the voice signal to be transmitted into the video recorder. By controlling the host, the operator can issue instructions to control the up, down, left, and right movements of the pan / tilt, and perform zoom and zoom operations on the lens. switch between. Using the special video processing mode, you can record, playback, process and other operations on the image to achieve the best video effect. [0003] With the development of t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04
CPCG06N3/04
Inventor 邸磊
Owner CLOUDVOS GUANGZHOU TECH CO LTD
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