CN201699879U - False image inspecting and identifying system of urban monitoring camera - Google Patents
False image inspecting and identifying system of urban monitoring camera Download PDFInfo
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- CN201699879U CN201699879U CN2010201437836U CN201020143783U CN201699879U CN 201699879 U CN201699879 U CN 201699879U CN 2010201437836 U CN2010201437836 U CN 2010201437836U CN 201020143783 U CN201020143783 U CN 201020143783U CN 201699879 U CN201699879 U CN 201699879U
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Abstract
The utility model provides a false image inspecting and identifying system of an urban monitoring camera, which is characterized by mainly consisting of an inspecting matrix (1), an image inspecting server (2) of a monitoring camera provided with an identifying procedure, and an exchanger (3), wherein the input end of the inspecting matrix (1) is connected with an image signal output end of each video distributor (6) through a network, each video distributor (6) is connected with the signal output end of a corresponding camera (5), a video signal output end of the inspecting matrix (1) is connected with a video signal acquiring end of the image inspecting server (2) of the monitoring camera, and an alarm signal output end of the image inspecting server (2) of the monitoring camera is connected with an alarm device of an urban monitoring center or a maintenance station through the exchanger (3) and a WLAN/LAN wide area network/local area network (4). The false image inspecting and identifying system has simple structure, is easy to realize, is good for improving the reliability of a monitoring system of the urban camera, and reduces the maintenance cost.
Description
Technical field
The utility model relates to a kind of city safety-protection system, especially a kind of city security protection video camera operating state recognition system, and specifically a kind of supervision of the cities fault of camera image is patrolled and examined recognition system.
Background technology
As everyone knows, along with China's " Golden Shield " construction reaches being in full swing of " 3111 " engineering, the safe city construction is all being carried out in all parts of the country, urban society's public security video monitoring system is all built in investment in place with good conditionsi and city, domestic many cities all plan or quantity that rig camera has been installed greatly about more than 200,000, part provinces and cities have planned to popularize the construction of electric video supervisory control system at the county town in an all-round way with Shangcheng District, and the social security video monitoring system will progressively be set up and install in national city above county level all in the future.Meanwhile, the huge rig camera of quantity has brought challenge for the maintenance and management of City Surveillance System, how to find the fault of rig camera that works online in the city timely and effectively, and send warning message, just the utility model problem that need solve.
Summary of the invention
Whether the purpose of this utility model is can operate as normal can't judge automatically at a large amount of security protection video camera in present city, can cause the problem of security protection blind area, design and a kind ofly can self-timing differentiate each video camera whether supervision of the cities fault of camera image working properly is patrolled and examined recognition system.
The technical solution of the utility model is:
A kind of supervision of the cities fault of camera image is patrolled and examined recognition system, it is characterized in that it is mainly by patrolling and examining matrix 1, rig camera image patrol checking server 2 and switch 3 that recognizer is installed are formed, the input of patrolling and examining matrix 1 links to each other by the image signal output end of network with each video distributor 6, each video distributor 6 links to each other with the signal output part of corresponding video camera 5, the VT of patrolling and examining matrix 1 links to each other with the video signal collective end of rig camera image patrol checking server 2, and the alarm signal output ends of rig camera image patrol checking server 2 links to each other with the warning device of WLAN/LAN wide area network/local area network (LAN) 4 with supervision of the cities center or maintenance station by switch 3.
The beneficial effects of the utility model:
1. the utility model can effectively reduce the labour intensity of personal monitoring's video camera operating state, improves the efficient of monitoring.
2. the utility model helps improving the reliability of the camera supervised system in city, reduces maintenance cost.
3. but system's independent operating of setting up of the utility model does not influence the work of existing supervisory control system, therefore, can not produce the work of existing supervisory control system when existing supervisory control system is transformed and interfere.
4. fault alarm of the present utility model and transmission of Information can realize therefore having autgmentability, opening and economy preferably by common Ethernet.
5. the utility model is simple in structure, is easy to realize.
Description of drawings
Fig. 1 is the configuration diagram of supervision of the cities camera review cruising inspection system of the present utility model.
Fig. 2 is a supervision of the cities camera review cruising inspection system block diagram representation of the present utility model.
Fig. 3 is the concrete workflow diagram of rig camera image patrol checking server of the present utility model.
Fig. 4 is the characteristic information schematic diagram that patrol checking server of the present utility model uses when carrying out fault distinguishing.
Embodiment
Below in conjunction with drawings and Examples the utility model is further described.
Shown in Fig. 1-4.
A kind of supervision of the cities fault of camera image is patrolled and examined recognition system, it is mainly by patrolling and examining matrix 1, rig camera image patrol checking server 2 and switch 3 that recognizer is installed are formed, the input of patrolling and examining matrix 1 links to each other by the image signal output end of network with each video distributor 6, each video distributor 6 links to each other with the signal output part of corresponding video camera 5, the VT of patrolling and examining matrix 1 links to each other with the video signal collective end of rig camera image patrol checking server 2, the alarm signal output ends of rig camera image patrol checking server 2 links to each other with the warning device of WLAN/LAN wide area network/local area network (LAN) 4 with supervision of the cities center or maintenance station by switch 3, as shown in Figure 2.
The utility model is by introducing rig camera image cruising inspection system in the camera supervised system in city, by the tours of inspection of system to realtime graphic, judge the operating state of rig camera, when abnormal conditions appear in the camera review of supervisory control system, system can in time produce alarm signal, simultaneously can the fault state data of alarm signal and associated camera be passed through wide area network by network interface, local area network (LAN) or private network send to relevant security department or public security department, make relevant departments can in time understand the operating state of rig camera, so that adopt relative measures.The framework of supervision of the cities camera review cruising inspection system as shown in Figure 1.
The utility model is introduced the vision signal of multi-path monitoring video camera by video distributor and is patrolled and examined matrix 1, rig camera image patrol checking server 2 sends the video switch signal by application program to patrolling and examining matrix 1, patrol and examine the video-out port of matrix 1 with control, to specify the video switch of video camera to the video acquisition port of rig camera image patrol checking server 2, the single-frame images that rig camera image patrol checking server 2 is gathered in the vision signal of patrolling and examining matrix 1 output, in rig camera image patrol checking server 2, image is patrolled and examined the detection of check system application program, draw whether normally judged result of rig camera operating state, if being video camera, judged result fault is arranged then rig camera image patrol checking server 2 sends alarm signal and video camera relevant information (as: numbered positions of video camera etc.) and the video image that breaks down is presented on the screen, simultaneously, these information are sent to relevant security department or public security department on WLAN/LAN wide area network/local area network (LAN) 4 by the switch on the network 3, as shown in Figure 2.
The concrete monitoring identification process of patrolling and examining is:
As shown in Figure 3.
(1) start for the first time of the present utility modelly when patrolling and examining recognition system, at first carry out the initialization procedure of system, i.e. information such as the view data under the acquisition camera normal operating conditions, shooting numbering and position, and deposit database in.
(2) image is patrolled and examined verification collection appointment camera shooting and video view data and original image information in the rig camera information database is compared, and draws the detection conclusion.
(3) by detecting the branch that conclusion produces flow process: 1. fault-free: return image and patrol and examine the operating state that verification continues to detect next video camera.2. fault is arranged: send alarm signal being presented on the screen and by network of the relevant information of fault video camera and video image sent related data information.
(4) carrying out the interactive mode wrong report that there are personnel involved differentiates: 1. do not have wrong report: send the video camera maintenance notice and deposit database in.2. wrong report is arranged: image information or cancellation that the image of video camera is calibrated and revised in the database are reported by mistake.
The method of image verification:
As shown in Figure 4.
(1) at the method for calibration of fixed cameras: the first step: when system acquisition after specify the camera shooting and video view data, from the rig camera information database, access the image under this video camera normal running conditions of initial phase, (comprising: the conversion detection of feature patterns such as straight line, circular arc, angle point) can be similar to characteristic information figure shown in Figure 4 (can select corresponding characteristic information according to actual conditions when specifically implementing) by rim detection, feature pattern detection algorithm.
The information such as feature straight line, feature angle point, feature circular arc that comprises image among the characteristic information figure, by comparing two two field pictures, the diversity factor of the characteristic information image after the identical algorithms conversion just can draw the monitoring objective of rig camera or the scene result that whether changes.
Second step: system acquisition is carried out frequency domain transform to the image under appointment camera shooting and video view data and this video camera normal running conditions of initial phase, draw the frequency domain figure of this two two field picture, relatively in allowed limits whether the noise of collection in worksite image, and whether the type of noise variation has taken place, whether the signal transmission system that so just can judge video camera has interference, or because camera lens former thereby interference that image is produced.
(2) at the method for calibration of monopod video camera:, therefore need not scene to video camera and change and detect because the monitoring objective of monopod video camera and scene are constantly to change.As long as carry out the detection of picture noise, be about to system acquisition to specifying the camera shooting and video view data to carry out frequency domain transform, draw the frequency domain figure of this two field picture, in allowed limits whether the noise of detection collection in worksite image, whether the signal transmission system that so just can judge video camera has interference, or because camera lens former thereby interference that image is produced.
The utility model does not relate to the part prior art that maybe can adopt all same as the prior art to be realized.
Claims (1)
1. a supervision of the cities fault of camera image is patrolled and examined recognition system, it is characterized in that it is mainly by patrolling and examining matrix (1), rig camera image patrol checking server (2) and switch (3) that recognizer is installed are formed, the input of patrolling and examining matrix (1) links to each other by the image signal output end of network with each video distributor (6), each video distributor (6) links to each other with the signal output part of corresponding video camera (5), the VT of patrolling and examining matrix (1) links to each other with the video signal collective end of rig camera image patrol checking server (2), and the alarm signal output ends of rig camera image patrol checking server (2) links to each other with the warning device of supervision of the cities center or maintenance station with WLAN/LAN wide area network/local area network (LAN) (4) by switch (3).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010201437836U CN201699879U (en) | 2010-03-29 | 2010-03-29 | False image inspecting and identifying system of urban monitoring camera |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010201437836U CN201699879U (en) | 2010-03-29 | 2010-03-29 | False image inspecting and identifying system of urban monitoring camera |
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| Publication Number | Publication Date |
|---|---|
| CN201699879U true CN201699879U (en) | 2011-01-05 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN2010201437836U Expired - Fee Related CN201699879U (en) | 2010-03-29 | 2010-03-29 | False image inspecting and identifying system of urban monitoring camera |
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| Country | Link |
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| CN (1) | CN201699879U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106530786A (en) * | 2016-12-23 | 2017-03-22 | 安徽达尔智能控制系统股份有限公司 | Automatic patrol inspection system used for electronic monitoring equipment |
| CN113038122A (en) * | 2021-03-16 | 2021-06-25 | 通号通信信息集团有限公司 | Fault positioning system and method based on video image diagnosis data |
-
2010
- 2010-03-29 CN CN2010201437836U patent/CN201699879U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106530786A (en) * | 2016-12-23 | 2017-03-22 | 安徽达尔智能控制系统股份有限公司 | Automatic patrol inspection system used for electronic monitoring equipment |
| CN113038122A (en) * | 2021-03-16 | 2021-06-25 | 通号通信信息集团有限公司 | Fault positioning system and method based on video image diagnosis data |
| CN113038122B (en) * | 2021-03-16 | 2022-10-28 | 通号通信信息集团有限公司 | Fault positioning system and method based on video image diagnosis data |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20110105 Termination date: 20150329 |
|
| EXPY | Termination of patent right or utility model |