CN201037962Y - Electronic pile examining system - Google Patents
Electronic pile examining system Download PDFInfo
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- CN201037962Y CN201037962Y CNU2006201242475U CN200620124247U CN201037962Y CN 201037962 Y CN201037962 Y CN 201037962Y CN U2006201242475 U CNU2006201242475 U CN U2006201242475U CN 200620124247 U CN200620124247 U CN 200620124247U CN 201037962 Y CN201037962 Y CN 201037962Y
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Abstract
The utility model relates to an electronic stake testing system based on video surveillance, which comprises a primary controlling camera, a plurality of side cameras and a primary controlling computer and voice control equipment; wherein, the primary controlling computer is respectively connected with the primary controlling camera, each side camera and the voice equipment. A software system of the primary controlling computer is provided with a video displaying module, a video tracking and detection module, an automatic determination module and a data management module. The utility model has the characteristics of high stability, and simple operation and maintenance etc., and can accurately and timely determine the result of the stake testing.
Description
Affiliated technical field
The utility model relates to the penalty and the management system of a cover automatic stake test, especially can intelligence examination result is carried out the automatic stake test system based on video monitoring of penalty.
Background technology
Mainly in the current automatic stake test system detect by adopting infrared (or laser) to carry out the sideline, and according to the achievement judgement that takes an exam of this testing result.
This automatic stake test system based on infrared (or laser) places infrared (or laser) photoelectric tube respectively at the two ends in each bar sideline, and passing the sideline as object is that system can detect automatically, and carries out corresponding penalty.
This method realizes simple, but is subjected to ectocine bigger, the rate of false alarm height, no matter what object (toy or leaf), as long as it is through the sideline, system will judge by accident---and the vehicle body outlet.And system is malfunctioning easily: when the light pipe at two ends owing to staggered by extraneous collision or other factors, system can't carry out correct judgement, at this moment just need manually adjust.
The utility model content
For the high rate of false alarm, the low stability that overcome the existing automatic stake test system that detects based on infrared (or laser) with use deficiencies such as inconvenience, the utility model provides a kind of automatic stake test system based on video monitoring, it not only has outside the characteristics such as low rate of false alarm and high stability, and easy operating and maintenance, easy to use.
Automatic stake test of the present utility model system comprises a master control video camera and a plurality of wing video camera, a master control computer and a speech ciphering equipment, and wherein the master control computer links to each other with speech ciphering equipment with master control video camera, each wing video camera respectively; The software systems of master control computer comprise video display module, video tracking and detection module, automatic determination module and data management module, wherein video display module receives the vision signal of each road video camera and is presented on the display of master control computer, video tracking and detection module receive the main road vision signal of master control video camera, to determine to examine the car position, receive the wing vision signal of each wing video camera, to determine to examine whether out-of-bounds of car, automatically determination module is judged the result of video tracking and detection module, and the speech ciphering equipment that links to each other with the master control computer of control, data management module management system user profile and examinee information.
This system also comprises automatic stopping device, links to each other with the master control computer, and is controlled by the automated decision system of master control computer.
Described video tracking and detection module receive the main road vision signal of master control video camera, by estimation, background elimination, shadow removal, manually auxiliary and self-adaptation recognition technology to be to determine to examine the car position; Receive the wing vision signal of each wing video camera, by estimation, background elimination, shadow removal, manually auxiliary and self-adaptation recognition technology to be to determine to examine whether out-of-bounds of car.
Described master control computer connects network, and data management module is the supervising the network data also.
For current system, must guarantee during installation at the strict aligning of two infrared facilitys at the same line two ends based on infrared (or laser) penalty.And in the later again use, two devices are easy to because external influence and to askew, even need this moment the staff to keep in repair to the place of taking an examination, otherwise system can't move.
The utility model when mounted only need be according to the actual place of being seen in the video, gets final product by the mouse border, corresponding place of drawing on screen.When the place changed to some extent, operating personnel also can make things convenient on screen in time, change corresponding setting by mouse and get final product.And even without changing in time, system still can work as usual, just rate of false alarm or rate of failing to report can have increase slightly.
The beneficial effects of the utility model are: in driving examination process, can make penalty to examination result accurately and real-time.And have characteristics such as high stability, operation and maintenance be simple.
Description of drawings:
Fig. 1 is ground, an examination hall physical map:
11: the coboundary in place (Edge A)
12: the coboundary in garage (Edge B)
13: the lower boundary in garage (Edge C)
14: the left margin in garage (Edge D)
The center line in 15: two garages (Edge E)
16: the right margin in garage (Edge F)
21: numbers video cameras (C1), the main center line Edge E that is responsible for the whole place of monitoring and two garages.
22: No. two video cameras (C2), the main coboundary Edge A that is responsible for the monitoring place.
23: No. three video cameras (C3), the main coboundary Edge B that is responsible for the monitoring garage.
24: No. four video cameras (C4), the main lower boundary Edge C that is responsible for the monitoring garage.
25: No. five video cameras (C5), the main left margin Edge D that is responsible for the monitoring garage.
26: No. six video cameras (C6), the main right margin Edge F that is responsible for the monitoring garage.
Fig. 2 is ground, an examination hall synoptic diagram
11: the coboundary in place (Edge A)
12: the coboundary in garage (Edge B)
13: the lower boundary in garage (Edge C)
14: the left margin in garage (Edge D)
The center line in 15: two garages (Edge E)
16: the right margin in garage (Edge F)
31: numbers stake bars (Stake 1)
32: No. two stake bars (Stake 2)
33: No. three stake bars (Stake 3)
34: No. four stake bars (Stake 4)
35: No. five stake bars (Stake 5)
36: No. six stake bars (Stake 6)
41: (RW) has a lot of social connections
42: starting point is to the distance (SL) of garage right margin
43: storehouse wide (CW)
44: storehouse long (CL)
Fig. 3 is the system hardware structure block diagram
2: video camera
5: speech ciphering equipment
6: Master Control Center
7: automatic stopping device
Fig. 4 is the system software structure block diagram
61: video display module
62: video tracking and detection module
63: automatic judge module
631: voice suggestion
632: automatic stopping
64: data management module
641: the networking data management
642: the local data management
Fig. 5 is master control computer master interface
611: front view shows the video by the whole place of main camera (C1) collection in real time
612: the video of border A shows the video of being gathered by main camera (C2) about border A in real time
613: the video of border A shows the video of being gathered by main camera (C3) about boundary B in real time
614: the video of border A shows the video of being gathered by main camera (C4) about border C in real time
615: the video of border A shows the video of being gathered by main camera (C5) about border D in real time
616: the video of border A shows the video of being gathered by main camera (C6) about border F in real time
621: pursuit path figure shows the movement locus of vehicle in the place in real time
Embodiment:
Below in conjunction with drawings and embodiments the utility model is further specified.
Be illustrated in figure 2 as a synoptic diagram on ground, examination hall, the position of Stake1-6:6 mark post; Border, Edge A-F:6 bar place; Storehouse long (CL): two times of vehicle commanders, front-drive cars adds 50 centimetres; Storehouse wide (CW): motorbus, high capacity waggon, middle bus are that overall width adds 70 centimetres, and kart, steering-wheel type tractor, four-wheel low-speed cars are that overall width adds 60 centimetres; (RW) has a lot of social connections: 1.5 times of vehicle commander; Starting point (SL): 1.5 times of vehicle commander.
As shown in Figure 1, a plurality of video cameras of the place placed around that gets through the examinations are monitored the motion of examining car from different angles.Video camera 1 (C1): be responsible for the monitoring of the boundary line E (Edge E) in panoramic shooting and two storehouses; Video camera 2 (C2): be responsible for the monitoring of border A (Edge A); Video camera 3 (C3): be responsible for the monitoring of boundary B (Edge B); Video camera 4 (C4): be responsible for the monitoring of border C (Edge C); Video camera 5 (C5): be responsible for the monitoring of border D (Edge D); Video camera 6 (C6): be responsible for the monitoring of border F (Edge F).Video camera 1 is master control video camera (1), it be mainly used in follow the tracks of examine car in whole examination hall movement locus and to the control of wing video camera, all the other are wing video camera (a plurality of), each wing video camera is responsible for a wing, when car passes the border, by the video analysis to corresponding camera acquisition, system can make penalty timely.
As shown in Figure 3, native system hardware comprises: hardware componenies such as video camera, Master Control Center (master control computer), speech ciphering equipment and automatic stopping device.Master Control Center is made penalty automatically, and is outwards broadcast cloth message by speech ciphering equipment by analyzing the video from camera acquisition, and when examination finished, Master Control Center can stop to examine car by automatic stopping device.
As shown in Figure 4, the software section of the software section native system of native system mainly by video demonstration, video tracking and detection, judge automatically and four parts of data management are formed.
Video shows: on all real-time display that is shown to computer of the video that each road camera acquisition is come in.
Video tracking and detection: system all handles respectively the video that each road camera acquisition is come in, and the main road video is used for following the tracks of the movement locus of examining car, and the wing video is used for detecting examines whether out-of-bounds of car.
Automatically judge: according to the result that video tracking and detection module obtain, system makes penalty automatically, and control corresponding peripheral device (speech ciphering equipment and automatic stopping equipment).
Data management: native system mainly needs to manage two parts information---system user and examinee information, but also needs and database that test system is driven in public security carries out alternately.
For the master control video, by combination: estimation, background elimination, shadow removal, manually technology such as auxiliary and self-adaptation identification determines to examine the current position of car.
For the wing video, by combination: estimation, background are eliminated and technology such as shadow removal is determined whether out-of-bounds of vehicle body.Estimation:
Estimate that by examining current and in the past constantly position of car and motion state (size and Orientation of speed) next examines the zone that car may occur constantly.At next constantly, system only needs to handle in estimated ranges to get final product, and the handling property of system can be provided like this, and can avoid the interference of other object to a certain extent.
Background is eliminated:
In order accurate in locating to go out to examine the current position of car, the utility model combines the method that two kinds of backgrounds are eliminated: adjacent two two field pictures subtract each other; The direct subtracting background frame of present frame.Because these two kinds of independent uses of method all have certain deficiency, but the two is in conjunction with reaching better effect.
Shadow removal:
Shade can influence the location of examining car and the penalty on border.The utility model is discerned the border to remove the influence of shade by the control of big threshold value.
Artificial auxiliary:
When in the examination monitor video when examining car and also have other moving object, other moving object needed artificial auxiliary positioning to examining the influence that car is followed the tracks of before examination in the video---probably point out to examine the initial position of car by mouse.When not having other object to influence, can not omit this step operation.
Self-adaptation identification:
Because examining the movement locus of car in the examination hall is not straight line, so size of its (in video) and shape are changing.In order to examine the car location more accurately, the utility model is regulated relevant parameter automatically according to the variation of examining the state of car.
Claims (4)
1. an automatic stake test system is characterized in that this system comprises a master control video camera and a plurality of wing video camera, a master control computer and a speech ciphering equipment, and wherein the master control computer links to each other with speech ciphering equipment with master control video camera, each wing video camera respectively; The software systems of master control computer comprise video display module, video tracking and detection module, automatic determination module and data management module, wherein video display module receives the vision signal of each road video camera and is presented on the display of master control computer, video tracking and detection module receive the main road vision signal of master control video camera, to determine to examine the car position, receive the wing vision signal of each wing video camera, to determine to examine whether out-of-bounds of car, automatically determination module is judged the result of video tracking and detection module, and the speech ciphering equipment that links to each other with the master control computer of control, data management module management system user profile and examinee information.
2. automatic stake test according to claim 1 system is characterized in that this system also comprises automatic stopping device, links to each other with the master control computer, and by the automated decision system control of master control computer.
3. automatic stake test according to claim 1 and 2 system, it is characterized in that video tracking and detection module receive the main road vision signal of master control video camera, by estimation, background elimination, shadow removal, manually auxiliary and self-adaptation recognition technology to be to determine to examine the car position; Receive the wing vision signal of each wing video camera, by estimation, background elimination, shadow removal, manually auxiliary and self-adaptation recognition technology to be to determine to examine whether out-of-bounds of car.
4. automatic stake test according to claim 1 system is characterized in that described master control computer connects network, and data management module is the supervising the network data also.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNU2006201242475U CN201037962Y (en) | 2006-06-29 | 2006-06-29 | Electronic pile examining system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNU2006201242475U CN201037962Y (en) | 2006-06-29 | 2006-06-29 | Electronic pile examining system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN201037962Y true CN201037962Y (en) | 2008-03-19 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNU2006201242475U Expired - Fee Related CN201037962Y (en) | 2006-06-29 | 2006-06-29 | Electronic pile examining system |
Country Status (1)
| Country | Link |
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| CN (1) | CN201037962Y (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103000067A (en) * | 2012-12-28 | 2013-03-27 | 苏州苏迪智能系统有限公司 | Right angle turning detection system and detecting method thereof |
| CN103065519A (en) * | 2012-12-28 | 2013-04-24 | 苏州苏迪智能系统有限公司 | Detecting system of ramp fixed point stopping and starting and detecting method of ramp fixed point stopping and starting |
| CN103065520A (en) * | 2012-12-28 | 2013-04-24 | 苏州苏迪智能系统有限公司 | Detection system for backing car into storage and detection method thereof |
| CN103076007A (en) * | 2012-12-28 | 2013-05-01 | 苏州苏迪智能系统有限公司 | Side parking detecting system and method |
| CN103077639A (en) * | 2012-12-28 | 2013-05-01 | 苏州苏迪智能系统有限公司 | Curve driving detection system and detection method thereof |
| CN103366598A (en) * | 2013-07-15 | 2013-10-23 | 广州市浩云安防科技股份有限公司 | Vehicle in-place parking detection system and detecting method |
| CN103606321A (en) * | 2013-10-29 | 2014-02-26 | 南京多伦科技股份有限公司 | Driving-test judgment method based on technology combining video positioning and digital modeling |
| CN103745561A (en) * | 2013-07-15 | 2014-04-23 | 广州市浩云安防科技股份有限公司 | Cash truck parking-in-place intelligent detection management device |
-
2006
- 2006-06-29 CN CNU2006201242475U patent/CN201037962Y/en not_active Expired - Fee Related
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103000067A (en) * | 2012-12-28 | 2013-03-27 | 苏州苏迪智能系统有限公司 | Right angle turning detection system and detecting method thereof |
| CN103065519A (en) * | 2012-12-28 | 2013-04-24 | 苏州苏迪智能系统有限公司 | Detecting system of ramp fixed point stopping and starting and detecting method of ramp fixed point stopping and starting |
| CN103065520A (en) * | 2012-12-28 | 2013-04-24 | 苏州苏迪智能系统有限公司 | Detection system for backing car into storage and detection method thereof |
| CN103076007A (en) * | 2012-12-28 | 2013-05-01 | 苏州苏迪智能系统有限公司 | Side parking detecting system and method |
| CN103077639A (en) * | 2012-12-28 | 2013-05-01 | 苏州苏迪智能系统有限公司 | Curve driving detection system and detection method thereof |
| CN103000067B (en) * | 2012-12-28 | 2014-12-17 | 苏州苏迪智能系统有限公司 | Right angle turning detection system and detecting method thereof |
| CN103076007B (en) * | 2012-12-28 | 2016-01-20 | 苏州苏迪智能系统有限公司 | Lateral parking detection system and detection method thereof |
| CN103366598A (en) * | 2013-07-15 | 2013-10-23 | 广州市浩云安防科技股份有限公司 | Vehicle in-place parking detection system and detecting method |
| CN103745561A (en) * | 2013-07-15 | 2014-04-23 | 广州市浩云安防科技股份有限公司 | Cash truck parking-in-place intelligent detection management device |
| CN103366598B (en) * | 2013-07-15 | 2016-01-20 | 广州市浩云安防科技股份有限公司 | A kind of vehicle parking is to position detecting system and detection method |
| CN103606321A (en) * | 2013-10-29 | 2014-02-26 | 南京多伦科技股份有限公司 | Driving-test judgment method based on technology combining video positioning and digital modeling |
| CN103606321B (en) * | 2013-10-29 | 2016-01-20 | 南京多伦科技股份有限公司 | Based on video location and the road test judgment method of digital modeling combined technology |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20080319 Termination date: 20100629 |