CN201556298U - Automatic park barrier machine control device - Google Patents
Automatic park barrier machine control device Download PDFInfo
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- CN201556298U CN201556298U CN2009202098812U CN200920209881U CN201556298U CN 201556298 U CN201556298 U CN 201556298U CN 2009202098812 U CN2009202098812 U CN 2009202098812U CN 200920209881 U CN200920209881 U CN 200920209881U CN 201556298 U CN201556298 U CN 201556298U
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- barrier machine
- vehicle
- image sensing
- sensing device
- control computer
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Abstract
The utility model relates to an automatic park barrier machine control device, which comprises front-end equipment and ground equipment. The front-end equipment comprises a cradle head, a protective cover, an image sensing device, a 1394 dedicated line, a fill light, a stabilized voltage supply and a cable; the image sensing device is erected on the cradle head; the image sensing device is positioned inside the protective cover; the ground equipment comprises a control computer, a barrier machine and an RS232 dedicated line; the image sensing device is connected with the control computer through the 1394 dedicated line; the control computer is connected with the barrier machine through the RS232 dedicated line; and the fill light is connected with the stabilized voltage supply through the cable. Compared with the prior art, the device has the advantages of high automation level, security, simple system structure, low cost, high recognition accuracy and the like.
Description
Technical field
The utility model relates to computer vision and signal conditioning package, especially relates to a kind of automatic parking lot barrier machine control device.
Background technology
Along with at home universal day by day of automobile, increasing to the needs in parking lot, and domestic parking lot at present substantially also is in the stage that the someone guards, and robotization and intelligent degree are not high, and efficient is low relatively simultaneously.And some unattended managing system of car parking, what also often use is the card recognition technology, comprises magnetic card that the driver hands, bar code card, IC-card, closely RF radio-frequency identification card and remote RF radio-frequency identification card etc.Though it is unmanned for these systems, but in specific operation process, often needing that the information of vehicles that utilizes this parking lot is registered statistics in advance sets, concerning fixing a certain during in repeatedly use the user in this parking lot such as monthly rent user or the own parking stall user in this parking lot, a this hair fastener, repeatedly operation technique is compared with manually-operated system, has higher efficient, but card is in repeatedly practical process, also causes it normally not use because of card distortion and other reason easily.In large-scale Public Parking, owing to enter vehicle at random, use the user indefinite, need use interim card during parking, but interim card brings aspect hidden danger such as health and safety when reusing easily in different user.Simultaneously, based on the managing system of car parking of radio-frequency card chip technology structure, when electromagnetic environment was complicated, system stability also usually can not be guaranteed at present.Therefore, how to make up robotization more and intellectuality, the unmanned parking management system and the charging system of safer environmental protection simultaneously are focuses of system development both at home and abroad at present and technical research.In such intellectualizing system, the type that enters the parking lot vehicle is discerned, be wherein crucial and a basic job.The utility model under this background, based on computer vision technique, is developed a kind of motor vehicle and bicycle recognition system and method just, and automatically barrier machine is controlled according to the result who judges identification.
Summary of the invention
The purpose of this utility model is exactly that a kind of automaticity height, automatic parking lot barrier machine control device that accuracy of identification is high are provided in order to overcome the defective that above-mentioned card recognition technology exists.
The purpose of this utility model can be achieved through the following technical solutions:
A kind of automatic parking lot barrier machine control device, it is characterized in that, this device comprises front-end equipment, uphole equipment, described front-end equipment comprises The Cloud Terrace, protective cover, image sensing device, 1394 special lines, the light filling lamp, stabilized voltage supply, cable, described image sensing device is set up on the The Cloud Terrace, described imageing sensor is positioned at the inside of protective cover, described uphole equipment comprises control computer, barrier machine, the RS232 special line, described image sensing device and control computer are by 1394 private line accesses, described control computer and barrier machine are by the RS232 private line access, and described light filling lamp is connected by cable with stabilized voltage supply.
Described image sensing device can be stereo camera, monocular-camera or still camera.
Described stereo camera, monocular-camera or still camera can be worked in infrared or visible wavelength range.
Compared with prior art, the utlity model has following advantage:
1) precision height, advanced technology are judged in identification.Utilize computer vision technique that the parking lot is transformed, making up automatic and intelligent fully managing system of car parking and automatic payment system is the focus direction that following parking lot is built.This uses novel utilization based on pattern and the recognizer that combines based on feature, identification judging nicety rate height, advanced technology.
2) do not need manual intervention, automation and intelligentification degree height.Utilize computer vision technique, just as the robot eye of packing at Entrance, automated intelligent is judged the type of vehicle that enters the parking lot, automatically determines barrier machine to open or closed condition.
3) health, environmental protection, safety.Utilize camera intelligence that information of vehicles is judged, the health concerns that produces when avoiding interim card shared.Removed the application of card from, also environmental protection more.Simultaneously the intelligent decision vehicle is in residing position, Entrance place, effectively avoids barrier machine and the car crass accident that is damaged, and is safer.
4) system architecture is simple, and cost is low.Utilize the image sensing device of hypothesis on The Cloud Terrace to obtain information, rely on the uphole equipment control computer can finish to the analyzing and processing of information with to the condition managing of barrier machine, system architecture is simple, has lower construction cost.
Description of drawings
Fig. 1 is the structural representation of a kind of automatic parking lot barrier machine of the utility model control device.
Embodiment
Below in conjunction with the drawings and specific embodiments the utility model is elaborated.
Embodiment
As shown in Figure 1, a kind of automatic parking lot barrier machine control device mainly comprises front-end equipment that information of vehicles is detected and the uphole equipment that detection information is handled and barrier machine is controlled.Wherein, front-end equipment mainly comprises the image sensing device 1 that obtains information of vehicles, and protective cover 2 connects 1394 special lines 3 of image sensing device 1 and uphole equipment, The Cloud Terrace 4, and stabilized voltage supply 5, cable 6 is used for increasing at night the light filling lamp 7 of illuminance.Uphole equipment mainly comprises the control computer 8 that image sensing device is obtained that information is handled and barrier machine is controlled, barrier machine 10, and the RS232 special line 9 that connects control computer and barrier machine.Uphole equipment comprises that also the netting twine that The Cloud Terrace lens controller and debugging are practical etc. is optional.
The utility model based on the operational scheme of above hardware device is:
1) after the control computer in the uphole equipment 8, operation motor vehicle bicycle detection system.
2) image sensing device in the equipment 1 obtains the image information that Entrance goes out, and image information is transferred to control computer 8 by 1394 special lines 3.The vehicle identification algorithm that control computer 8 utilization is embedded in is wherein analyzed the image information of input, and whether differentiate has vehicle or object to enter the parking lot, and judges whether vehicle or object stop before barrier machine or be kept in motion.
3) be kept in motion as vehicle or object, then keep the barrier machine closed condition.Stop as vehicle or object, then use the vehicle identification algorithm and judge that vehicle or object are motor vehicle or bicycle, and begin to preserve obtaining image information.
4) as the above-mentioned bicycle that is judged as, then keep the barrier machine closed condition.
5) as the above-mentioned motor vehicle that is judged as, then provide the signal barrier machine, open guardrail.
6) open guardrail after, detect vehicle and whether pass through, detection method is carried out difference for the image with present frame with background image, when the result of difference hour, judge that vehicle has passed through, close guardrail.
7) do not pass through as detecting vehicle, then judge the residing position of vehicle, be positioned at not by the guardrail position, then detect the barrier machine state,, then keep the guardrail open mode, and provide the voice suggestion vehicle and pass through if barrier machine is in open mode as vehicle location.Be in closed condition as barrier machine, then open barrier machine.Be in open mode and vehicle location is positioned at guardrail Turn Off Path scope as barrier machine, then continue to keep the barrier machine open mode, and provide the voice suggestion vehicle within a certain period of time and pass through.Vehicle location is judged when concrete grammar passes through for there is not vehicle at background image, utilizes the Hough conversion, detects and definite barrier machine guardrail position.And the vehicle area feature of utilization extraction, definite vehicle location such as length characteristic and width characteristics, and comparison vehicle location and barrier machine guardrail position, as the two position coincidence is arranged, then do not judge when vehicle cuts out by barrier machine or barrier machine and can form bump, at this moment, continue to keep the barrier machine open mode vehicle, when the detection vehicle passes through, close barrier machine.
The concrete steps that the vehicle targets of the control computer inside above-mentioned steps 3) is discerned vehicle are as follows:
(1) control computer 8 receives the image information that storage image sensing device 1 obtains.
(2) image information of obtaining is carried out pre-service, the shutter of image sensing device and the gain of image are carried out self-regulation.In order to improve processing speed, the multichannel image that image sensing device is obtained at first is converted into the single channel image, and application self-adapting variation of image grayscale algorithm, carries out color invariance and handles.Improve because light is crossed dark or the bright excessively deteriroation of image quality phenomenon that causes of light, strengthen detailed information such as image border simultaneously, be beneficial to follow-up feature extraction and processing, improve final accuracy of identification.Under night or other extreme weather situation, adopt light filling lamp 7 to increase illuminance.
(3) when background changes, be judged as object (bicycle) or vehicle and entered, automatically background is upgraded simultaneously.In model recognition system, extract marginal information from reference background image and current frame image respectively, if two marginal informations differ greatly, then thinking has vehicle or object (bicycle) to enter, need upgrade background, extract the image image as a setting in the present frame simultaneously.
(4) vehicle or object (bicycle) are arranged when entering the parking lot when judgement, use the vehicle parking detection module again and judge whether vehicle or object (bicycle) are in halted state on the barrier machine doorway.Here difference information is judged between application of frame, when promptly the moving region information gap is less than certain threshold value in the continuous adjacent frame, judges that vehicle or object are in halted state.
(5) as judge that vehicle or object (bicycle) are kept in motion, and then control the railing organizational security and hold closed condition always.
(6) when judging that vehicle or object (bicycle) are in when stopping, and judge then whether the vehicle or the object (bicycle) that enter the parking lot are motor vehicle or bicycle.Detailed process is for judging that vehicle or object (bicycle) are when stopping, the Video stream information of record and store car or object (bicycle), and utilization is in conjunction with judging based on the method for pattern with based on the method for feature whether it is the motor vehicles non power driven vehicle.Wherein based on the method for pattern at first to the image PCA dimensionality reduction of motor vehicle and bicycle and carry out line study, after judging that vehicle or object (bicycle) stop, information to recorded video stream is carried out the PCA dimension-reduction treatment again, and mate with the sample information of off-line training study, be motor vehicle or bicycle type thereby discern it.The information of obtaining after based on the method for feature vehicle or object (bicycle) being stopped to be carried out feature extraction, here mainly choose area features, length characteristic and width characteristics are according to the type of extracting between feature and the experience setting value that concerns deteminate machine motor-car or bicycle.Its concrete determination methods is: specify bicycle such as motorcycle, empirical value T1 such as electric motor car, after motor vehicle empirical value T2. utilizes the background difference algorithm that vehicle is split, the area information of vehicle after the computed segmentation, when area zone during less than threshold value T1, then discerning vehicle is non power driven vehicle, when area zone during greater than empirical value T2, then be identified as motor vehicles, when the area threshold value is between T1 and T2, then be defined as fuzzy region.To being defined as the image of fuzzy region, application length feature and width characteristics are differentiated again, and be big according to motor vehicles length characteristic and width characteristics, and non power driven vehicle length characteristic and width characteristics are differentiated for a short time.Wherein the concrete computing method of length characteristic are: the information of vehicles after will cutting apart carries out the Hough conversion, line information after the detection conversion in the image, and the line parallel with road added up, calculate the average of wired message length as the length characteristic of this information of vehicles.The computing method of width characteristics are: the vehicle image that is partitioned into is carried out projection in vertical direction, calculate the Pixel Information that brightness is arranged in each row projection, have the row of monochrome information to be kept in the projection vector all, the length computation of vector is a width characteristics.
Carry out motor vehicle and bicycle identification according to native system, thereby realize Based Intelligent Control barrier machine.After the identification and position judgment finished the motor vehicle bicycle,, barrier machine is provided the signal that opens or closes, thereby realized the purpose of this utility model according to the result of identification and the result of position judgment.
Claims (2)
1. automatic parking lot barrier machine control device, it is characterized in that, this device comprises front-end equipment, uphole equipment, described front-end equipment comprises The Cloud Terrace, protective cover, image sensing device, 1394 special lines, the light filling lamp, stabilized voltage supply, cable, described image sensing device is set up on the The Cloud Terrace, described image sensing device is positioned at the inside of protective cover, described uphole equipment comprises control computer, barrier machine, the RS232 special line, described image sensing device and control computer are by 1394 private line accesses, described control computer and barrier machine are by the RS232 private line access, and described light filling lamp is connected by cable with stabilized voltage supply.
2. a kind of automatic parking lot barrier machine control device according to claim 1 is characterized in that described image sensing device can be stereo camera, monocular-camera or still camera.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009202098812U CN201556298U (en) | 2009-09-22 | 2009-09-22 | Automatic park barrier machine control device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009202098812U CN201556298U (en) | 2009-09-22 | 2009-09-22 | Automatic park barrier machine control device |
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| CN201556298U true CN201556298U (en) | 2010-08-18 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN2009202098812U Expired - Fee Related CN201556298U (en) | 2009-09-22 | 2009-09-22 | Automatic park barrier machine control device |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104766047A (en) * | 2015-03-04 | 2015-07-08 | 西安工业大学 | Toll station vehicle recognition method and device based on vehicle length detection |
| CN105989743A (en) * | 2015-02-13 | 2016-10-05 | 杭州海存信息技术有限公司 | Nighttime detection for parking vehicles |
| CN108292476A (en) * | 2015-11-20 | 2018-07-17 | 罗伯特·博世有限公司 | Method and apparatus for running the parking lot for including multiple controllable infrastructure elements |
-
2009
- 2009-09-22 CN CN2009202098812U patent/CN201556298U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105989743A (en) * | 2015-02-13 | 2016-10-05 | 杭州海存信息技术有限公司 | Nighttime detection for parking vehicles |
| CN104766047A (en) * | 2015-03-04 | 2015-07-08 | 西安工业大学 | Toll station vehicle recognition method and device based on vehicle length detection |
| CN104766047B (en) * | 2015-03-04 | 2017-12-19 | 西安工业大学 | High speed charge station vehicle identification method and device based on Vehicle length detection |
| CN108292476A (en) * | 2015-11-20 | 2018-07-17 | 罗伯特·博世有限公司 | Method and apparatus for running the parking lot for including multiple controllable infrastructure elements |
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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: 20100818 Termination date: 20100922 |