CN106454331A - A video signal quality detection system and method - Google Patents
A video signal quality detection system and method Download PDFInfo
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- CN106454331A CN106454331A CN201610951311.5A CN201610951311A CN106454331A CN 106454331 A CN106454331 A CN 106454331A CN 201610951311 A CN201610951311 A CN 201610951311A CN 106454331 A CN106454331 A CN 106454331A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
Abstract
The invention brings forward a video signal quality detection system and method. The system comprises a plurality of front-end video capture terminals, a video analysis server, a storage server and an alarm system; the front-end video acquisition terminals transmit acquired video signals to the video analysis server; the video analysis server analyzes the acquired video signals, and binding and numbering between the front-end video capture terminals and monitored field areas are performed to determine whether the front-end video capture terminals in the different field areas are working properly. In the invention, the video analysis server is used to judge aspects such as acquisition signal loss, detection area masking and blurring of the collected information of the front end video capture terminals in the different field areas, and the analysis result is sent to mobile terminals of inspectors through the alarm system to enable the inspectors to view and arrange maintenance personnel for maintenance.
Description
Technical field
The present invention relates to video detection technology field, particularly to a kind of video signal quality detecting system and method.
Background technology
With the continuous growth of video surveillance network scale, Large Scale Video Monitoring System general at present all comprises tens thousand of roads
Photographic head, multiple abnormal conditions that traditional video monitoring system does not occur to video image are accurately analyzed, are judged
And warning, more cannot realize intelligent video accident analysis and the early warning of video quality diagnosis.
Content of the invention
The purpose of the present invention is intended at least solve one of described technological deficiency.
For this reason, it is an object of the invention to proposing a kind of video signal quality detecting system and method, going out to video image
Existing multiple abnormal conditions are accurately analyzed, judged and are reported to the police.
To achieve these goals, the present invention provides a kind of video signal quality detecting system, including multiple head end video
Acquisition terminal, video analytics server, storage server, warning system；
Each described head end video acquisition terminal is connected with video analytics server, for gathering video information, and will regard
Frequency signal transmission is to video analytics server；
Described video analytics server is connected with storage server, warning system respectively, for regarding that analysis is collected
Frequency signal, and the place that each described head end video acquisition terminal is monitored with it carries out binding numbering, judges different on-sites
Head end video acquisition terminal whether working properly；
If head end video acquisition terminal gathers dropout, judge this head end video acquisition terminal fault or loss；
If the automatic focusing evaluation of estimate of head end video acquisition terminal collection signal and brightness value are abnormal, judge this front end
The detection zone of video acquisition terminal is blocked；
If the collection former frame that head end video acquisition terminal gathers signal is had differences with the image pixel of present frame,
Judge this head end video acquisition terminal video blur；
Described storage server is used for receiving and storing the data from described video analytics server；
Described warning system is used for receiving the control signal from described video analytics server, is reported to the police and notified to patrol
Inspection personnel check.
Further, described warning system is connected with the mobile terminal of patrol officer, for gathering described head end video
Terminal abnormal information and its place information that monitored are sent to patrol officer.
Further, described warning system is connected with described storage server, for warning message is sent to storage clothes
Business device storage.
A kind of video signal quality detection method is it is characterised in that comprise the following steps：
Step S1, the video signal collecting is passed to video analytics server by head end video acquisition terminal；
Step S2, video analytics server is analyzed to the video signal being gathered, by head end video acquisition terminal with
The place of its monitoring carries out binding numbering, judges whether the head end video acquisition terminal of different on-sites is working properly；
Step S3, warning system receives the control signal from described video analytics server, is reported to the police, front end is regarded
Frequency acquisition terminal abnormal information and its place information that monitored are sent to patrol officer, notify patrol officer to check；
Step S4, storage server stores video signal, the video analytics server that head end video acquisition terminal collects
Analytical data, the alert data of warning system.
Further, video analytics server judges whether the head end video acquisition terminal of different on-sites is working properly
Method is as follows：
If head end video acquisition terminal gathers dropout, judge this head end video acquisition terminal fault or loss；
If the automatic focusing evaluation of estimate of head end video acquisition terminal collection signal and brightness value are abnormal, judge this front end
The detection zone of video acquisition terminal is blocked；
If the collection former frame that head end video acquisition terminal gathers signal is had differences with the image pixel of present frame,
Judge this head end video acquisition terminal video blur.
The present invention adopt the head end video acquisition terminal to different on-sites for the video analytics server collection dropout,
Detection zone blocks, gather the aspects such as information fuzzy is judged, and analysis result is sent to by warning system patrols and examines people
The mobile terminal of member, is checked by patrol officer, and arranges maintainer to be keeped in repair.
Multiple abnormal conditions that the present invention can occur to video image are accurately analyzed, judged and are reported to the police, and realize regarding
The intelligent video accident analysis of frequency quality diagnosis and early warning, shorten the malfunction elimination time, improve maintenance efficiency, ensure monitoring matter
Amount.
The aspect that the present invention adds and advantage will be set forth in part in the description, and partly will become from the following description
Obtain substantially, or recognized by the practice of the present invention.
Brief description
The above-mentioned and/or additional aspect of the present invention and advantage will become from reference to the description to embodiment for the accompanying drawings below
Substantially and easy to understand, wherein：
Fig. 1 is the structured flowchart of the present invention；
Fig. 2 is the flow chart of the present invention.
Specific embodiment
Embodiments of the invention are described below in detail, the example of described embodiment is shown in the drawings, wherein from start to finish
The element that same or similar label represents same or similar element or has same or like function.Below with reference to attached
The embodiment of figure description is exemplary it is intended to be used for explaining the present invention, and is not considered as limiting the invention.
The present invention provides a kind of video signal quality detecting system and method, shown in refer to the attached drawing 1, including：Multiple front ends
Video acquisition terminal 1, video analytics server 2, storage server 4, warning system 3；
Each head end video acquisition terminal 1 is connected with video analytics server 2, for gathering video information, and by video
Signal transmission is to video analytics server 2.
Video analytics server 2 is connected with storage server 4, warning system 3 respectively, for analyzing collected video
Signal, and the place that each head end video acquisition terminal 1 is monitored with it carries out binding numbering, judges the front end of different on-sites
Whether video acquisition terminal 1 is working properly.
If head end video acquisition terminal 1 gathers dropout, judge this head end video acquisition terminal 1 fault or lose
Lose；
If the automatic focusing evaluation of estimate of head end video acquisition terminal 1 collection signal and brightness value are abnormal, before judging this
The detection zone of end video acquisition terminal 1 is blocked；
If the collection former frame that head end video acquisition terminal 1 gathers signal is had differences with the image pixel of present frame,
Then judge this head end video acquisition terminal 1 video blur.
Storage server 4 is used for receiving and storing the data from video analytics server 2.
Warning system 3 is used for receiving the control signal from video analytics server 2, is reported to the police and is notified patrol officer
Check.
Wherein, warning system is connected with the mobile terminal of patrol officer, for by head end video acquisition terminal abnormal information
And its place information being monitored is sent to patrol officer.
Warning system is also connected with storage server, for warning message is sent to storage server storage.
Also a kind of video signal quality detection method of the present invention, as shown in Fig. 2 comprise the following steps：
Step S1, the video signal collecting is passed to video analytics server by head end video acquisition terminal；
Step S2, video analytics server is analyzed to the video signal being gathered, by head end video acquisition terminal with
The place of its monitoring carries out binding numbering, judges whether the head end video acquisition terminal of different on-sites is working properly；
Wherein, video analytics server judges the head end video acquisition terminal of different on-sites method whether working properly
As follows：
If head end video acquisition terminal gathers dropout, judge this head end video acquisition terminal fault or loss；
If the automatic focusing evaluation of estimate of head end video acquisition terminal collection signal and brightness value are abnormal, judge this front end
The detection zone of video acquisition terminal is blocked；
If the collection former frame that head end video acquisition terminal gathers signal is had differences with the image pixel of present frame,
Judge this head end video acquisition terminal video blur.
Step S3, warning system receives the control signal from video analytics server, is reported to the police, head end video is adopted
Collection terminal abnormal information and its place information that monitored are sent to patrol officer, notify patrol officer to check；
Step S4, storage server stores video signal, the video analytics server that head end video acquisition terminal collects
Analytical data, the alert data of warning system.
The present invention adopt the head end video acquisition terminal to different on-sites for the video analytics server collection dropout,
Detection zone blocks, gather the aspects such as information fuzzy is judged, and analysis result is sent to by warning system patrols and examines people
The mobile terminal of member, is checked by patrol officer, and arranges maintainer to be keeped in repair.
Multiple abnormal conditions that the present invention can occur to video image are accurately analyzed, judged and are reported to the police, and realize regarding
The intelligent video accident analysis of frequency quality diagnosis and early warning, shorten the malfunction elimination time, improve maintenance efficiency, ensure monitoring matter
Amount.
Although embodiments of the invention have been shown and described above it is to be understood that above-described embodiment is example
Property it is impossible to be interpreted as limitation of the present invention, those of ordinary skill in the art is in the principle without departing from the present invention and objective
In the case of above-described embodiment can be changed within the scope of the invention, change, replace and modification.The scope of the present invention
Limited by claims are extremely equivalent.
Claims (5)
1. a kind of video signal quality detecting system is it is characterised in that include：Multiple head end video acquisition terminals, video analysis
Server, storage server, warning system；
Each described head end video acquisition terminal is connected with video analytics server, for gathering video information, and video is believed
Number pass to video analytics server；
Described video analytics server is connected with storage server, warning system respectively, for analyzing collected video letter
Number, and the place that each described head end video acquisition terminal is monitored with it carries out binding numbering, before judging different on-sites
Whether end video acquisition terminal is working properly；
If head end video acquisition terminal gathers dropout, judge this head end video acquisition terminal fault or loss；
If the automatic focusing evaluation of estimate of head end video acquisition terminal collection signal and brightness value are abnormal, judge this head end video
The detection zone of acquisition terminal is blocked；
If the collection former frame that head end video acquisition terminal gathers signal is had differences with the image pixel of present frame, judge
This head end video acquisition terminal video blur；
Described storage server is used for receiving and storing the data from described video analytics server；
Described warning system is used for receiving the control signal from described video analytics server, is reported to the police and notified to patrol and examine people
Member checks.
2. video signal quality detecting system as claimed in claim 1 it is characterised in that：Described warning system and patrol officer
Mobile terminal connect, for being sent to described head end video acquisition terminal abnormal information and its place information that monitored
Patrol officer.
3. video signal quality detecting system as claimed in claim 1 it is characterised in that：Described warning system and described storage
Server connects, for warning message is sent to storage server storage.
4. a kind of video signal quality detection method is it is characterised in that comprise the following steps：
Step S1, the video signal collecting is passed to video analytics server by head end video acquisition terminal；
Step S2, video analytics server is analyzed to the video signal being gathered, and head end video acquisition terminal is supervised with it
The place of control carries out binding numbering, judges whether the head end video acquisition terminal of different on-sites is working properly；
Step S3, warning system receives the control signal from described video analytics server, is reported to the police, head end video is adopted
Collection terminal abnormal information and its place information that monitored are sent to patrol officer, notify patrol officer to check；
Step S4, storage server store head end video acquisition terminal collect video signal, video analytics server point
Analysis data, the alert data of warning system.
5. video signal quality detecting system as claimed in claim 4 it is characterised in that：Video analytics server judges different
The method whether the head end video acquisition terminal of on-site is working properly is as follows：
If head end video acquisition terminal gathers dropout, judge this head end video acquisition terminal fault or loss；
If the automatic focusing evaluation of estimate of head end video acquisition terminal collection signal and brightness value are abnormal, judge this head end video
The detection zone of acquisition terminal is blocked；
If the collection former frame that head end video acquisition terminal gathers signal is had differences with the image pixel of present frame, judge
This head end video acquisition terminal video blur.
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| CN201610951311.5A CN106454331A (en) | 2016-11-02 | 2016-11-02 | A video signal quality detection system and method |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107172421A (en) * | 2017-07-17 | 2017-09-15 | 深圳森阳环保材料科技有限公司 | A kind of picture quality diagnostic system for video monitoring |
| CN108174198A (en) * | 2018-03-07 | 2018-06-15 | 江苏中软智能系统有限公司 | A kind of video image quality diagnostic analysis detection device and application system |
| CN108337321A (en) * | 2018-03-14 | 2018-07-27 | 卡斯柯信号有限公司 | CBTC signalling arrangements cruising inspection system and method based on video intelligent identification |
| CN108551377A (en) * | 2018-04-20 | 2018-09-18 | 杭州恒生数字设备科技有限公司 | A kind of unattended real-time audio quality detecting system |
| CN110251859A (en) * | 2019-05-30 | 2019-09-20 | 东华大学 | Image recognition, automatic sound wave fire fighting test platform |
| CN111490905A (en) * | 2020-04-29 | 2020-08-04 | 广东天亿马信息产业股份有限公司 | Method for automatically inspecting video image fault |
| CN111510689A (en) * | 2020-07-01 | 2020-08-07 | 成都宜泊信息科技有限公司 | Video monitoring system and monitoring method |
| CN112235605A (en) * | 2020-11-03 | 2021-01-15 | 新东方教育科技集团有限公司 | Video processing system and video processing method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101576960A (en) * | 2009-06-12 | 2009-11-11 | 广州广电运通金融电子股份有限公司 | Method and system for detecting foreign materials |
| CN102006459A (en) * | 2010-11-09 | 2011-04-06 | 中国电信股份有限公司 | Intelligent video image diagnosis system and method |
| CN102231223A (en) * | 2011-06-02 | 2011-11-02 | 深圳中兴力维技术有限公司 | Foreign object blocking and alarming method used for camera |
| CN103260049A (en) * | 2013-04-23 | 2013-08-21 | 四川天翼网络服务有限公司 | Intelligent skynet video quality diagnostic system |
| CN104240235A (en) * | 2014-08-26 | 2014-12-24 | 北京君正集成电路股份有限公司 | Method and system for detecting whether camera is covered or not |
| CN104539939A (en) * | 2014-12-17 | 2015-04-22 | 惠州Tcl移动通信有限公司 | Lens cleanliness detection method and system based on mobile terminal |
-
2016
- 2016-11-02 CN CN201610951311.5A patent/CN106454331A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101576960A (en) * | 2009-06-12 | 2009-11-11 | 广州广电运通金融电子股份有限公司 | Method and system for detecting foreign materials |
| CN102006459A (en) * | 2010-11-09 | 2011-04-06 | 中国电信股份有限公司 | Intelligent video image diagnosis system and method |
| CN102231223A (en) * | 2011-06-02 | 2011-11-02 | 深圳中兴力维技术有限公司 | Foreign object blocking and alarming method used for camera |
| CN103260049A (en) * | 2013-04-23 | 2013-08-21 | 四川天翼网络服务有限公司 | Intelligent skynet video quality diagnostic system |
| CN104240235A (en) * | 2014-08-26 | 2014-12-24 | 北京君正集成电路股份有限公司 | Method and system for detecting whether camera is covered or not |
| CN104539939A (en) * | 2014-12-17 | 2015-04-22 | 惠州Tcl移动通信有限公司 | Lens cleanliness detection method and system based on mobile terminal |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107172421A (en) * | 2017-07-17 | 2017-09-15 | 深圳森阳环保材料科技有限公司 | A kind of picture quality diagnostic system for video monitoring |
| CN108174198A (en) * | 2018-03-07 | 2018-06-15 | 江苏中软智能系统有限公司 | A kind of video image quality diagnostic analysis detection device and application system |
| CN108174198B (en) * | 2018-03-07 | 2021-02-23 | 江苏中软智能系统有限公司 | Video image quality diagnosis analysis detection device and application system |
| CN108337321A (en) * | 2018-03-14 | 2018-07-27 | 卡斯柯信号有限公司 | CBTC signalling arrangements cruising inspection system and method based on video intelligent identification |
| CN108551377A (en) * | 2018-04-20 | 2018-09-18 | 杭州恒生数字设备科技有限公司 | A kind of unattended real-time audio quality detecting system |
| CN108551377B (en) * | 2018-04-20 | 2019-11-19 | 杭州恒生数字设备科技有限公司 | A kind of unattended real-time audio quality detecting system |
| CN110251859A (en) * | 2019-05-30 | 2019-09-20 | 东华大学 | Image recognition, automatic sound wave fire fighting test platform |
| CN111490905A (en) * | 2020-04-29 | 2020-08-04 | 广东天亿马信息产业股份有限公司 | Method for automatically inspecting video image fault |
| CN111510689A (en) * | 2020-07-01 | 2020-08-07 | 成都宜泊信息科技有限公司 | Video monitoring system and monitoring method |
| CN112235605A (en) * | 2020-11-03 | 2021-01-15 | 新东方教育科技集团有限公司 | Video processing system and video processing method |
| CN112235605B (en) * | 2020-11-03 | 2023-03-10 | 新东方教育科技集团有限公司 | Video processing system and video processing method |
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Application publication date: 20170222 |