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Video patrol processing method based on AI analysis

A processing method and video processing technology, which is applied in the field of video processing, can solve problems such as time-consuming, safety accidents, and dangers that have not been processed and warned in a timely manner, and achieve the effects of facilitating analysis and identification, improving processing efficiency, and eliminating potential safety hazards

Pending Publication Date: 2021-10-19
南京和贤电子科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, video surveillance requires people to spend a lot of time watching videos. In the public environment, due to the large number of people, video surveillance personnel cannot pay attention to the situation of many people in a timely manner. When anomalies occur, they cannot deal with them immediately and watch invalid videos. It will consume a lot of time, resulting in the danger not being processed and warned in time, thus causing safety accidents. For this reason, a video inspection processing method based on AI analysis is proposed to solve this problem

Method used

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  • Video patrol processing method based on AI analysis

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Effect test

Embodiment 1

[0027] A method for processing video inspections based on AI analysis, the method comprising the steps of:

[0028] S1: Obtain the training video data set, preprocess the training video data set, establish a video detection anomaly model, train the video data set as the video data of the abnormal scene, preprocess the video data of the abnormal scene, and process the preprocessing by the convolution algorithm After processing the video data, a video detection anomaly model can be established, and a more accurate video detection model can be established according to the video data of the abnormal scene, which is beneficial to the analysis of the surveillance video;

[0029] S2: Collect video data through the monitoring equipment, and then the monitoring equipment transmits the video data to the video processing platform through the network bus, and stores the video data in the video library. The monitoring equipment is a network camera, and the network camera has a built-in embe...

Embodiment 2

[0035] A method for processing video inspections based on AI analysis, the method comprising the steps of:

[0036] S1: Obtain the training video data set, preprocess the training video data set, establish a video detection anomaly model, train the video data set as the video data of the abnormal scene, preprocess the video data of the abnormal scene, and process the preprocessing by the convolution algorithm After processing the video data, a video detection anomaly model can be established, and a more accurate video detection model can be established according to the video data of the abnormal scene, which is beneficial to the analysis of the surveillance video;

[0037] S2: Collect video data through the monitoring equipment, and then the monitoring equipment transmits the video data to the video processing platform through the network bus, and stores the video data in the video library. The monitoring equipment is a network camera, and the network camera has a built-in embe...

Embodiment 3

[0043] A method for processing video inspections based on AI analysis, the method comprising the steps of:

[0044] S1: Obtain the training video data set, preprocess the training video data set, establish a video detection anomaly model, train the video data set as the video data of the abnormal scene, preprocess the video data of the abnormal scene, and process the preprocessing by the convolution algorithm After processing the video data, a video detection anomaly model can be established, and a more accurate video detection model can be established according to the video data of the abnormal scene, which is beneficial to the analysis of the surveillance video;

[0045] S2: Collect video data through the monitoring equipment, and then the monitoring equipment transmits the video data to the video processing platform through the network bus, and stores the video data in the video library. The monitoring equipment is a network camera, and the network camera has a built-in embe...

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Abstract

The invention relates to the technical field of video processing, in particular to a video patrol processing method based on AI analysis. The method comprises the following steps: acquiring a training video data set, preprocessing the training video data set, and establishing a video detection abnormity model; and acquiring video data through monitoring equipment, and transmitting, by the monitoring equipment, the video data to a video processing platform through a network bus. The video patrol processing method based on AI analysis provided by the invention has the advantages that video image data can be conveniently analyzed and identified; expired data can be timely cleared; abnormal data in an image and a video can be conveniently detected; and the video patrol processing efficiency can be effectively improved. According to the method, the existing problem that safety accidents are caused due to the fact that dangers are not timely processed and early warned due to the fact that video monitoring cannot be processed at the first time when the abnormity occurs is solved, and security and protection workers can be timely notified to eliminate potential safety hazards when the abnormity occurs.

Description

technical field [0001] The invention relates to the technical field of video processing, in particular to an AI analysis-based video patrol processing method. Background technique [0002] With the maturity of video surveillance system construction and the deepening of informatization construction, a large number of data resources captured by video surveillance systems are stored in the video libraries of security industry companies and government agencies. How to correlate such a large number of data resources to It has always been a difficult problem to facilitate classification management, search and search, and data comparison. Due to the development of the big data industry, the amount of data is showing an explosive growth trend, and the traditional computing architecture cannot support the large-scale parallel computing needs of deep learning, so the research community has carried out a new round of technology research and development on AI (artificial intelligence) c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18G08B21/02G06K9/00
CPCH04N7/18G08B21/02
Inventor 李杰
Owner 南京和贤电子科技有限公司
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