Architecture of computer vision processing server based on neural network

A computer vision and server processing technology, applied in the server field, can solve problems such as large amount of calculation, image privacy leakage, downtime, etc., and achieve the effect of data desensitization and avoidance of privacy leakage

Pending Publication Date: 2019-01-18
浙江深眸科技有限公司
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AI Technical Summary

Problems solved by technology

However, the above-mentioned server system bears too much pressure, and the pressure on bandwidth, CPU, and memory may also be too high, and there is a risk of downtime
[0003] On the other hand, current AI projects are more computationally intensive
These projects usually use GPU servers, which also have similar problem

Method used

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Examples

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Example Embodiment

[0018] The present invention discloses a neural network-based computer vision processing server architecture. The specific implementation of the present invention will be further described below with reference to the preferred embodiments.

[0019] Preferably, the neural network-based computer vision processing server architecture is used to process pictures or videos that require computer vision processing, and the neural network-based computer vision processing server architecture includes a parent server and several sub-servers, wherein:

[0020] Each sub-server belongs to the parent server at the same time;

[0021] Each sub-server is equipped with a neural network, and each sub-server is preprocessed through its own neural network at the same time, so as to realize the desensitization of the original data and prevent the leakage of image privacy during the output transmission process;

[0022] The parent server obtains preprocessed image data preprocessed by each sub-serv...

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Abstract

The invention discloses a computer vision processing server structure based on a neural network, comprising a parent server and a plurality of child servers. Each child server is attached to the parent server at the same time. Each sub-server is provided with a neural network, and each sub-server performs preprocessing through its own neural network at the same time. The parent server further processes the preprocessed image data to form the computer vision processing data. The invention discloses a computer vision processing server structure based on a neural network. Firstly, a sub-server preprocesses pictures or videos requiring computer vision processing, thereby extracting image features, realizing data desensitization and avoiding privacy leakage problem. Then the parent server processes the pre-processed image data in depth, so that the server architecture can achieve load balance as far as possible, reach the balance point, and realize the maximum utilization of each server 'sresources.

Description

technical field [0001] The invention belongs to the technical field of servers, and in particular relates to a neural network-based computer vision processing server architecture. Background technique [0002] Concentrate the application system website, database, and file system on the same server, thus forming the most elementary server system. However, the above-mentioned server system bears too much pressure, and the bandwidth, CPU, and memory pressure may also be too large, and there is a risk of downtime. [0003] On the other hand, current AI projects are more computationally intensive. These projects usually use GPU servers, which also have similar problems, making it difficult to achieve load balancing among multiple servers. [0004] In addition, if image or video processing based on computer vision needs to be uploaded to a server for calculation and processing, the transmission process may also involve the issue of image privacy disclosure. Contents of the inv...

Claims

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Application Information

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IPC IPC(8): G06T1/20G06N3/04G06F21/62G06F9/50
CPCG06F9/505G06F21/6254G06N3/04G06T1/20
Inventor 廖章友许淞斐周礼
Owner 浙江深眸科技有限公司
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