CN107945573A - Vehicle parking detecting system - Google Patents
Vehicle parking detecting system Download PDFInfo
- Publication number
- CN107945573A CN107945573A CN201711498880.XA CN201711498880A CN107945573A CN 107945573 A CN107945573 A CN 107945573A CN 201711498880 A CN201711498880 A CN 201711498880A CN 107945573 A CN107945573 A CN 107945573A
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- Prior art keywords
- vehicle
- picture
- parking stall
- parking
- data processing
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a kind of vehicle parking detecting system, vehicle parking detecting system includes data processing centre and at least gathers the harvester of two different azimuth pictures；Harvester, for after the picture of parking position is collected from different directions, picture to be sent to data processing centre；Data processing centre, for after picture is received, detecting in parking stall whether parked vehicle according to picture；If having parked vehicle in parking stall, determine that harvester collects the vehicle body area of vehicle according to picture；If vehicle body area is not in the range of preset area, it is determined that vehicle is not parked in parking stall correctly.After being blocked the invention avoids existing single harvester, or the picture gathered is interfered, or whether the situation of illegal parking detection error detection vehicle caused by vehicle parking grade too lack of standardization occurs, improves the accuracy whether detection vehicle is not parked in correctly in parking stall.
Description
Technical field
The present invention relates to automobile technical field, more particularly to a kind of vehicle parking detecting system.
Background technology
At present, parking lot is using the license plate number and headstock stopped in single camera identification parking stall, to detect parking stall
The situation of upper vehicle parking, as whether parked in the parking stall vehicle, stop whether park it is correct, if having cross-line, with
And license plate number of the vehicle etc..But when camera is blocked, or the video captured by the camera be interfered or due to
The vehicle parking it is too lack of standardization situations such as when occurring, camera can be caused not recognize the license plate number or car of the vehicle
Head.It follows that the detection method of vehicle parking situation is easy to cause whether parking stall has parked vehicle in existing parking stall, and
Whether specification parks detection error to vehicle, so as to be easy to cause parking lot traffic disturbance.
The content of the invention
It is a primary object of the present invention to provide a kind of vehicle parking detecting system, it is intended to solve in existing detection parking stall
Whether vehicle has been parked, and whether vehicle correctly parks the low technical problem of accuracy rate.
To achieve the above object, the present invention provides a kind of vehicle parking detecting system, the vehicle parking detecting system bag
Include data processing centre and at least gather the harvester of two different azimuth pictures；
The harvester, for after the picture of parking position is collected from different directions, the picture to be sent
To the data processing centre；
The data processing centre, for after the picture is received, being detected according to the picture in the parking stall to be
It is no to have parked vehicle；If having parked vehicle in the parking stall, determine that the harvester collects institute according to the picture
State the vehicle body area of vehicle；If the vehicle body area is not in the range of preset area, it is determined that the vehicle is not parked in correctly
In the parking stall.
Preferably, if the data processing centre is additionally operable to detect that the automobile side parking stall is parked according to the picture
There is vehicle, then calculate the distance between two cars；If the distance is less than or equal to pre-determined distance, the prompting letter of generation first
Breath, to prompt corresponding user to avoid the occurrence of scratch event when driving vehicle according to first prompt message.
Preferably, the data processing centre is additionally operable to obtain the license plate number of the vehicle by the picture；According to institute
State license plate number and export the second prompt message, to prompt user not park the vehicle correctly according to second prompt message.
Preferably, the data processing centre is additionally operable to contain the vehicle license plate information described in acquisition in the picture
Picture；Character segmentation is carried out to the picture containing the license board information, to obtain in the picture containing the license board information
Character；Character in picture of the identification containing the license board information, and the car of the vehicle is obtained according to the character identified
The trade mark.
Preferably, the data processing centre is additionally operable to after the picture is received, obtain one on the harvester
The second picture transmitted by the first picture and current time transmitted by moment；According to first picture and the second picture
Detect in the parking stall and whether parked vehicle.
Preferably, the data processing centre is additionally operable to judge whether in first picture and the second picture all
It is not detected by vehicle；If being all not detected by vehicle in first picture and the second picture, the parking stall is confirmed not
Vehicle is parked；If being not detected by vehicle in first picture, vehicle is detected in the second picture, then confirms institute
State and vehicle has been parked in parking stall.
Preferably, if the data processing centre is additionally operable to the vehicle body area not in the range of preset area, pass through
The picture obtains the license plate number of the vehicle；If determine that the vehicle is common vehicle according to the license plate number, but the car
Position is special parking stall, or determines that the vehicle is special car according to the license plate number, but the parking stall is common parking stall, then
Determine that the vehicle is not parked in correctly in the parking stall, and determine vehicle institute parking stall type error.
Preferably, if the data processing centre is additionally operable to the vehicle body area not in the range of preset area, pass through
The picture obtains the length and width and height of the vehicle；Whether it is special according to the length and width of the vehicle and the high definite vehicle
Vehicle；If the vehicle is special car, but the parking stall is common parking stall, it is determined that the vehicle is not parked in correctly described
In parking stall, and determine vehicle institute parking stall type error.
Preferably, the harvester is additionally operable to the picture that timing gathers the parking position from different directions.
Preferably, if the data processing centre is additionally operable to the vehicle body area in the range of the preset area, lead to
Cross the license plate number that the picture obtains the vehicle；If determine that the vehicle is common vehicle according to the license plate number, but it is described
Parking stall is special parking stall, or determines that the vehicle is special car according to the license plate number, but the parking stall is common parking stall,
Then determine vehicle institute parking stall type error.
The present invention proposes a kind of vehicle parking detecting system, the vehicle parking detecting system include data processing centre and
At least gather the harvester of two different azimuth pictures；The harvester, for parking lot ought to be collected from different directions
After the picture of parking stall, the picture is sent to the data processing centre；The data processing centre, institute is received for working as
After stating picture, detect in the parking stall whether parked vehicle according to the picture；If vehicle, root are parked in the parking stall
Determine that the harvester collects the vehicle body area of the vehicle according to the picture；If the vehicle body area is not in default face
In product scope, it is determined that the vehicle is not parked in correctly in the parking stall.Adopted by least two set harvesters
Collect the parking stall picture of different azimuth, and whether according to automobile body area in the parking stall picture gathered detect vehicle incorrect
It is parked in parking stall, avoids after existing single harvester is blocked, or the picture gathered is interfered, Huo Zheche
Whether the situation of illegal parking detection error detection vehicle caused by parking grade too lack of standardization occurs, and improving detection vehicle is
The no accuracy not being parked in correctly in parking stall.
Brief description of the drawings
Fig. 1 is the preferable structure diagram of vehicle parking detecting system of the present invention.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
With reference to Fig. 1, Fig. 1 is the preferable structure diagram of vehicle parking detecting system of the present invention.As shown in Figure 1, vehicle stops
Put the harvester 10 that detecting system includes data processing centre 20 and at least gathers two different azimuth pictures.Data processing
The heart 20 is communicated to connect with harvester 10.The data processing centre 20 can be the local server dedicated for data processing, or
Person is cloud server.Harvester 10 can at least gather the picture of the parking position of two different azimuths, harvester 10
Can be at least two monocular-cameras, or at least one binocular camera.It is understood that when harvester 10 is one
During binocular camera, which is two harvesters 10, which can gather the car of two different azimuths
Bitmap piece.
The harvester 10, for after the picture of parking position is collected from different directions, the picture to be sent out
Give the data processing centre 20.
The data processing centre 20, for after the picture is received, being detected according to the picture in the parking stall
Whether vehicle has been parked.
After harvester 10 collects the picture of parking position from least two different azimuths, harvester 10 is by institute
The picture of collection is sent to data processing centre 20.After data processing centre 20 receives the picture of the transmission of harvester 10,
Whether data processing centre 20 has parked vehicle according in the picture detection parking stall received, i.e., whether the parking stall is in and is made
Use state.
Further, the data processing centre 20 is additionally operable to after the picture is received, obtain the harvester
The second picture transmitted by the first picture and current time transmitted by 10 last moments；According to first picture and described
Two pictures detect in the parking stall whether parked vehicle.
Further, after data processing centre 20 receives the picture of the transmission of harvester 10, data center obtains and adopts
The second picture that the first picture and current time that 10 last moment of acquisition means sends are sent, and according to the first picture and the second figure
Whether piece detection has parked vehicle in parking stall.It should be noted that the first picture includes harvester 10 in last moment institute
All parking stall pictures collected, second picture include all parking stall figures that harvester 10 is collected at current time
Piece.After harvester 10 collects picture, data processing centre 20 can be sent in real time.
Further, the harvester 10 is additionally operable to the picture that timing gathers the parking position from different directions.
, can timing progress picture collection during the picture that harvester 10 gathers parking position.Wherein, collection figure
The corresponding interval duration of piece can be set according to specific needs, but should be guaranteed to determine whether parking stall is in time and be used shape
State.Such as interval duration may be configured as 30 seconds, 60 seconds.
Further, the data processing centre 20 is additionally operable to judge whether in first picture and the second picture
In be all not detected by vehicle；If being all not detected by vehicle in first picture and the second picture, the car is confirmed
Vehicle has not been parked in position；If being not detected by vehicle in first picture, vehicle is detected in the second picture, then really
Recognize in the parking stall and parked vehicle.
Further, it is according to whether parking the process of vehicle in the first picture and second picture detection parking stall：Judge
Whether in the first picture and second picture vehicle is all not detected by.If all it is not detected by car in the first picture and second picture
, then confirm that parking stall has not parked vehicle；If being not detected by vehicle in the first picture, vehicle is detected in second picture,
Then confirm to have parked vehicle in parking stall.It is understood that as long as the partial information containing vehicle in picture, then confirm to scheme
Vehicle is detected in piece.
It is understood that after vehicle is successfully parked in parking stall, can all be examined in the first picture and second picture
Measure vehicle.But after vehicle is just successfully parked in parking stall, detected whether the vehicle is not parked in parking stall correctly,
Therefore, after vehicle continues to be parked in the parking stall, no longer whether the vehicle can be parked in parking stall correctly.Or can
To having detected that not parking license plate number corresponding with correct parked vehicle correctly is marked, in order to avoid repeat to detect.If
Vehicle is detected in first picture, picture is not detected by second picture, then shows that the vehicle has left the parking stall.
If the data processing centre 20 is additionally operable to park vehicle in the parking stall, according to determining the picture
Harvester 10 collects the vehicle body area of the vehicle.
After data processing centre 20 determines to have parked vehicle in parking stall, data processing centre 20 is according to received figure
Piece determines that harvester 10 collects the vehicle body area of vehicle.Specifically, in order to accurately detect whether vehicle is correctly parked in
, it is necessary to obtain the vehicle body area in two orientation of vehicle in parking stall, on the right side of obtaining and the vehicle body area in front, right side and rear
Vehicle body area, left side and the vehicle body in front area or the vehicle body area in left side and rear.Therefore, harvester 10 at least needs
Gather the picture in the one of orientation in the left and right sides and the one of orientation in front and back.
It should be noted that each harvester 10 can only gather the picture of fixed area, if certain car is correctly to park
In parking stall, at this time, harvester 10 can only collect the vehicle sections vehicle body area.In data handling in the heart 20, in advance
Set when the scope for the vehicle body area that vehicle is correctly parked in parking stall, and harvester 10 can collect, i.e., default face
Product scope.It is understood that due to the distance being spaced between different parking positions and parking stall, and parking stall size may not
Equally, therefore, preset area scope can according to the distance being spaced between parking stall and parking stall, and the size of parking stall and determine,
This is not limited.
Data processing centre 20 can analyze received during collected vehicle body area is determined according to picture
Picture, determines the length and width of vehicle in received picture, according to identified length and wide calculating vehicle body area.
If the data processing centre 20 is additionally operable to the vehicle body area not in the range of preset area, it is determined that the car
It is not parked in correctly in the parking stall.
After definite vehicle body area, whether data processing centre 20 judges vehicle body area in the range of preset area.If car
For body area not in the range of preset area, data processing centre 20 then determines that the vehicle is not parked in parking stall correctly.Such as work as number
After the vehicle body area in left side and the vehicle body area in front are determined according to processing center 20, data processing centre 20 judges the car in left side
Whether whether body area judge the vehicle body area in front in the range of C-D in the range of A-B.If the vehicle body area in left side is not
In the range of A-B, and/or front vehicle body area not in the range of C-D, data processing centre 20 then determine vehicle do not stop correctly
It is placed in parking stall.Wherein, A-B and C-D is preset area scope.When data processing centre 20 it is confirmed that other orientation pictures pair
Answer vehicle body area, corresponding deterministic process with determine to left side vehicle body area and front vehicle body area process it is similar,
Details are not described herein.Further, if vehicle body area is in the range of preset area, data processing centre 20 determines that vehicle is correct
It is parked in parking stall.
The present embodiment sets data processing centre 20 in vehicle parking detecting system and at least gathers two different azimuths
The harvester 10 of picture；The harvester 10, for after the picture of parking position is collected from different directions, by institute
State picture and be sent to the data processing centre 20；The data processing centre 20, for after the picture is received, according to
The picture detects in the parking stall whether parked vehicle；It is true according to the picture if having parked vehicle in the parking stall
The fixed harvester collects the vehicle body area of the vehicle；If the vehicle body area not in the range of preset area,
Determine that the vehicle is not parked in correctly in the parking stall.Different azimuth car is gathered by least two set harvesters
Bitmap piece, and detect whether vehicle is not parked in parking stall correctly according to automobile body area in the parking stall picture gathered,
Avoid after existing single harvester is blocked, the picture either gathered is interfered or vehicle parking is not advised very much
Vehicle is detected caused by model etc., and whether the situation of illegal parking detection error occurs, and improves whether detection vehicle is not parked correctly
Accuracy in parking stall.
Further, vehicle parking detecting system second embodiment of the present invention is proposed.
The difference of the vehicle parking detecting system second embodiment and the vehicle parking detecting system first embodiment
It is, if the data processing centre 20 is additionally operable to detect that vehicle has been parked in the automobile side parking stall according to the picture,
Then calculate the distance between two cars.
If after the definite vehicle is not parked in parking stall correctly, data processing centre 20 examines according to the picture received
Survey whether the automobile side parking stall has parked vehicle.Specifically, in the present embodiment, can be by 10 corresponding acquisition zone of harvester
Domain is arranged to that two parking stalls can be collected.If contain two parts information of vehicles, data processing centre 20 in the picture received
Determine that vehicle has been parked in the automobile side parking stall, otherwise, data processing centre 20 then determines that the automobile side parking stall has not been parked
Vehicle.After vehicle has been parked in the definite automobile side parking stall, data processing centre 20 calculate in picture between two cars away from
From.After two distances in picture are calculated, data processing centre 20 is big according to the size of the picture and pickup area
Distance of the small definite two cars in parking lot.Wherein, the big I of pickup area is stored in advance in data processing centre 20,
Also data processing centre 10 can be sent jointly to when sending picture by harvester 10.
If the data processing centre 20, which is additionally operable to the distance, is less than or equal to pre-determined distance, the prompting of generation first
Information, to prompt corresponding user to avoid the occurrence of scratch event when driving vehicle according to first prompt message.
After distance of the two cars in parking lot is determined, data processing centre 20 judges the two cars in parking lot
Whether distance is less than or equal to pre-determined distance.If distance of the two cars in parking lot is less than or equal to pre-determined distance, number
The first prompt message is then generated according to processing center 20, to prompt corresponding user to be kept away when driving vehicle according to the first prompt message
Exempt from scratch event occur.Wherein, pre-determined distance is the minimum range that two cars are not in scratch.When generating the first prompt message
Afterwards, data processing centre 20 can export first prompt message in parking lot, the first prompt message can be also sent to and its
The user terminal of communication connection, such as user mobile phone, to prompt user to avoid the occurrence of scratch event when driving vehicle.It is appreciated that
, the user of user terminal is respectively the car owner of this two cars.
Further, if distance of the two cars in parking lot is more than pre-determined distance, show that the car owner of this two cars exists
When driving vehicle, the probability very little of scratch event occurs.
The present embodiment is not parked in automobile side parking stall in parking stall correctly by not being parked in when vehicle in parking stall correctly
When also having parked vehicle, by detecting the distance of this two cars, determine whether scratch event easily occur when driving, and true
Surely after scratch event occurs, the corresponding user of output prompt message prompting, to reduce the probability of scratch event generation.
Further, vehicle parking detecting system 3rd embodiment of the present invention is proposed.
The vehicle parking detecting system 3rd embodiment and the vehicle parking detecting system first or second embodiments
Difference lies in the data processing centre 20 is additionally operable to obtain the license plate number of the vehicle by the picture.
After definite vehicle is not parked in parking stall correctly, data processing centre 20 is obtained not by received picture
The correct license plate number for being parked in vehicle in parking stall.
The data processing centre 20 is additionally operable to obtain the figure for containing the vehicle license plate information in the picture
Piece；Character segmentation is carried out to the picture containing the license board information, to obtain the character in the picture containing the license board information；
Character in picture of the identification containing the license board information, and the license plate number of the vehicle is obtained according to the character identified.
Further, the detailed process of the acquisition of data processing centre 20 vehicle license plate number is：Obtained in the picture received
Take the picture containing vehicle license plate information；Character segmentation is carried out to the picture containing license board information, to obtain containing license board information
Picture in character, identify the character in the picture containing license board information, and vehicle is obtained according to the character identified
License plate number.Wherein, in the present embodiment, vertical projection method can be used to carry out Character segmentation, due to character in vertical direction
The inevitable gap location in intercharacter or character of projection is obtained near local minimum, and this position should meet licence plate
Character writing form, character, size limitation and some other conditions.Character identifying method mainly has at present to be calculated based on template matches
Method and based on artificial neural network algorithm.Based on template matching algorithm first by the character binaryzation after segmentation, and by its size
Scaled is the size of template in character database, is then matched with all templates, finally selects best match conduct
As a result.Algorithm based on artificial neural network has two kinds：One kind is first to carry out feature extraction to character to be identified, then uses institute
Feature is obtained to train neutral net distributor；Another method is that pending image is directly inputted network, automatic by network
Feature extraction is realized until identifying result.
The data processing centre 20 is additionally operable to export the second prompt message according to the license plate number, with according to described second
Prompt message prompting user does not park the vehicle correctly.
After the license plate number of the vehicle is determined, data processing centre 20 exports the second prompt message according to license plate number, with root
According to the second prompt message, prompting user does not park the vehicle correctly, i.e., prompts its vehicle of user incorrect according to the second prompt message
It is parked in parking stall.The form of expression of second prompt message is not limited herein, such as in parking lot with data processing centre 20
The license plate number is shown in the display screen of connection, prompts corresponding user not park the vehicle correctly；Or output voice messaging, should
The license plate number is included in voice messaging.
Further, the second prompt message can be sent to connected user terminal by data processing centre 20, to carry
Show that its vehicle of user is not parked correctly.
After the present embodiment is by determining that vehicle is not parked in parking stall correctly, the license plate number of the vehicle is obtained, passes through the car
The trade mark exports the second prompt message, prompts the user of the vehicle that its vehicle is not parked correctly, in order to which user can have found it as early as possible
Vehicle is not parked in parking stall correctly.
Further, vehicle parking detecting system fourth embodiment of the present invention is proposed.
The vehicle parking detecting system fourth embodiment and the vehicle parking detecting system first and second and/or three are real
Applying example, difference lies in if the data processing centre 20 is additionally operable to the vehicle body area not in the range of preset area, lead to
Cross the license plate number that the picture obtains the vehicle.
If it is determined that vehicle body area, not in the range of preset area, data processing centre 20 then passes through received picture and obtains
The license plate number of vehicle.The detailed process of the license plate number of vehicle is obtained according to the picture that is received in the third embodiment specifically
Bright, details are not described herein.
If the data processing centre 20 is additionally operable to determine that the vehicle is common vehicle according to the license plate number, but described
Parking stall is special parking stall, or determines that the vehicle is special car according to the license plate number, but the parking stall is common parking stall,
Then determine that the vehicle is not parked in correctly in the parking stall, and determine vehicle institute parking stall type error.
After the license plate number of the vehicle is got, data processing centre 20 judges whether the vehicle is common according to license plate number
Vehicle.Specifically, data processing centre 20 is contrasted the license plate number of special car of the number plate with being stored.If the car
The license plate number of special car of the trade mark with being stored is consistent, and data processing centre 20 then confirms that the vehicle is special car；If should
The license plate number of special car of the license plate number with being stored is inconsistent, and data processing centre 20 then confirms that the vehicle is common vehicle.
After according to license plate number, to determine the vehicle be common vehicle, data processing centre 20 determines whether the vehicle institute parking stall is special
Parking stall.If it is determined that the parking stall is special parking stall, data processing centre 20 then determines that the vehicle is not parked in parking stall correctly, and
Determine the type error on the vehicle institute parking stall；If determine that vehicle is special car according to license plate number, but the special car is stopped
Parking stall is common parking stall, and data processing centre 20 then determines that the vehicle is not parked in parking stall correctly, and determines the vehicle institute
Parking stall type error.It should be noted that parking stall mapping table is prestored, has been passed through in the heart 20 in data handling
Parking stall mapping table can determine that whether a certain parking stall is special parking stall.In the mapping table of parking stall, there are parking stall number and parking stall type
Mapping relations, therefore, can determine parking stall type by parking stall number.Wherein, parking stall type includes common parking stall and special parking stall.It is special
Different vehicle includes but not limited to ambulance parking stall, vehicle for disabled person parking stall and green energy resource car parking stall.
Further, during judging whether the vehicle is special car, in order to improve the accurate of special car identification
Degree, can also pass through the car plate color that received picture obtains vehicle, by car plate color and the car plate face of the special car of storage
Color is contrasted.If the car plate color of special car of the acquired car plate color with being stored is consistent, confirm that the vehicle is
Special car；If the car plate color of special car of the acquired car plate color with being stored is inconsistent, confirm that the vehicle is
Common vehicle.
Further, if determining that the vehicle is common vehicle according to license plate number, and institute parking stall is also common parking stall, or
Determine that the vehicle is special car according to license plate number, and institute parking stall is also special car, data processing centre 20 then determines should
Vehicle only exists the phenomenon not being parked in correctly in parking stall.
If the data processing centre 20 is additionally operable to the vehicle body area not in the range of preset area, pass through the figure
Piece obtains the length and width and height of the vehicle；Whether it is special car according to the length and width of the vehicle and the high definite vehicle；
If the vehicle is special car, but the parking stall is common parking stall, it is determined that the vehicle is not parked in the parking stall correctly
In, and determine vehicle institute parking stall type error.
Further.If vehicle body area, not in the range of preset area, data processing centre 20 passes through received figure
Piece obtains the length and width and height of the vehicle.Specifically, data processing centre 20 obtains length and width and height of the vehicle in picture, and
The height of the size of pickup area that harvester 10 can gather and harvester 10 apart from ground is obtained, according to the car
Length and width and the high, size of 10 pickup area of harvester and the height apart from ground in picture, determine vehicle reality
Length and width and height.When the length and width that determines the vehicle reality and it is high after, data processing centre 20 by the length and width of vehicle reality with
It is high to be contrasted with the length and width of special car and height stored, whether it is special car with the definite vehicle.If the vehicle is real
The length and width on border and high consistent with the length and width of special car and height that stored, it is determined that the vehicle is special car；If the car
The length and width of reality and high inconsistent with the length and width of special car and height that stored, it is determined that the vehicle is common vehicle.
After the type of the vehicle is determined, data processing centre 20 determines the parking stall type on the vehicle institute parking stall.If should
Vehicle is special car, and institute parking stall is common parking stall, or the vehicle is common vehicle, and institute parking stall is special parking stall, number
Then determine that the vehicle is not parked in parking stall correctly according to processing center 20, and determine the vehicle institute parking stall type error.If
The vehicle is special car, and institute parking stall is special parking stall, or the vehicle is common vehicle, and institute parking stall is common parking stall,
Data processing centre 20 then determines that the vehicle only exists the phenomenon not being parked in correctly in parking stall.
Whether the present embodiment is consistent by judging type of vehicle and its parking stall type, to judge whether the vehicle stops it
In the parking stall of corresponding species, to realize whether park in violation of rules and regulations from multi-orientation detection vehicle.
Further, the 5th embodiment of vehicle parking detecting system of the present invention is proposed.
The vehicle parking detecting system fourth embodiment and the vehicle parking detecting system first and second and/or three are real
Apply example difference lies in, if the data processing centre 20 is additionally operable to the vehicle body area in the range of the preset area,
The license plate number of the vehicle is obtained by the picture；If determine that the vehicle is common vehicle according to the license plate number, but institute
It is special parking stall to state parking stall, or determines that the vehicle is special car according to the license plate number, but the parking stall is common in-vehicle
Position, it is determined that vehicle institute parking stall type error.
If vehicle body area, in the range of preset area, data processing centre 20 determines that the vehicle is correctly parked in parking stall
In.Data processing centre 20 passes through the license plate number that received picture obtains vehicle, and the type of vehicle is determined according to license plate number.
It should be noted that obtaining the license plate number of vehicle, and determine that the type of vehicle is detailed in the above-described embodiments according to license plate number
Describe in detail bright, details are not described herein.
Further, if the data processing centre 20 is additionally operable to determine that the vehicle is common in-vehicle according to the license plate number
, and the parking stall is common parking stall, or determine that the vehicle is special car according to the license plate number, and the parking stall is
Special parking stall, it is determined that vehicle institute parking stall type is correct.
If determine that the vehicle is common vehicle according to license plate number, but institute parking stall is special parking stall, or according to license plate number
It is special car to determine the vehicle, but institute parking stall is common parking stall, and data processing centre 20 then determines the vehicle institute parking stall
Type error.If the vehicle is special car, institute parking stall is special parking stall, or the vehicle is common vehicle, institute parking stall
For common parking stall, data processing centre 20 then determines that the type on the vehicle institute parking stall is correct.
The present embodiment is by the way that after the definite vehicle is correctly parked in parking stall, whether detection vehicle institute parking stall type
Correctly, whether parked in violation of rules and regulations from multi-orientation detection vehicle with realization.
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row
His property includes, so that process, method, article or device including a series of elements not only include those key elements, and
And other elements that are not explicitly listed are further included, or further include as this process, method, article or device institute inherently
Key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including this
Also there are other identical element in the process of key element, method, article or device.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on such understanding, technical scheme substantially in other words does the prior art
Going out the part of contribution can be embodied in the form of software product, which is stored in a storage medium
In (such as ROM/RAM, magnetic disc, CD), including some instructions are used so that a station terminal equipment (can be mobile phone, computer, takes
Be engaged in device, air conditioner, or network equipment etc.) perform method described in each embodiment of the present invention.
It these are only the preferred embodiment of the present invention, be not intended to limit the scope of the invention, it is every to utilize this hair
The equivalent structure or equivalent flow shift that bright specification and accompanying drawing content are made, is directly or indirectly used in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
- A kind of 1. vehicle parking detecting system, it is characterised in that the vehicle parking detecting system include data processing centre and At least gather the harvester of two different azimuth pictures；The harvester, for after the picture of parking position is collected from different directions, the picture to be sent to institute State data processing centre；The data processing centre, for after the picture is received, being detected in the parking stall and whether being stopped according to the picture It is placed with vehicle；If having parked vehicle in the parking stall, determine that the harvester collects the car according to the picture Vehicle body area；If the vehicle body area is not in the range of preset area, it is determined that the vehicle is not parked in correctly described In parking stall.
- 2. vehicle parking detecting system as claimed in claim 1, it is characterised in that if the data processing centre is additionally operable to root Detect that vehicle has been parked in the automobile side parking stall according to the picture, then calculate the distance between two cars；If the distance Less than or equal to pre-determined distance, then the first prompt message is generated, to prompt corresponding user according to first prompt message Scratch event should be avoided the occurrence of when driving vehicle.
- 3. vehicle parking detecting system as claimed in claim 1, it is characterised in that the data processing centre is additionally operable to pass through The picture obtains the license plate number of the vehicle；Second prompt message is exported according to the license plate number, to be carried according to described second Show that information alert user does not park the vehicle correctly.
- 4. vehicle parking detecting system as claimed in claim 3, it is characterised in that the data processing centre is additionally operable in institute State and the picture for containing the vehicle license plate information is obtained in picture；Picture containing the license board information is divided into line character Cut, to obtain the character in the picture containing the license board information；Character in picture of the identification containing the license board information, and Character according to being identified obtains the license plate number of the vehicle.
- 5. vehicle parking detecting system as claimed in claim 1, it is characterised in that the data processing centre is additionally operable to work as and connects After receiving the picture, second transmitted by the first picture and the current time transmitted by the harvester last moment is obtained Picture；Detect in the parking stall whether parked vehicle according to first picture and the second picture.
- 6. vehicle parking detecting system as claimed in claim 5, it is characterised in that the data processing centre is additionally operable to judge Whether in first picture and the second picture vehicle is all not detected by；If in first picture and second figure Vehicle is all not detected by piece, then confirms that the parking stall has not parked vehicle；If being not detected by vehicle in first picture, Vehicle is detected in the second picture, then confirms to have parked vehicle in the parking stall.
- 7. vehicle parking detecting system as claimed in claim 1, it is characterised in that if the data processing centre is additionally operable to institute Vehicle body area is stated not in the range of preset area, then the license plate number of the vehicle is obtained by the picture；If according to the car The trade mark determines that the vehicle is common vehicle, but the parking stall is special parking stall, or determines the car according to the license plate number It is special car, but the parking stall is common parking stall, it is determined that the vehicle is not parked in correctly in the parking stall, and really Fixed vehicle institute parking stall type error.
- 8. vehicle parking detecting system as claimed in claim 1, it is characterised in that if the data processing centre is additionally operable to institute Vehicle body area is stated not in the range of preset area, then the length and width and height of the vehicle are obtained by the picture；According to the car Length and width and high determine whether the vehicle is special car；If the vehicle is special car, but the parking stall is common Parking stall, it is determined that the vehicle is not parked in correctly in the parking stall, and determines vehicle institute parking stall type error.
- 9. vehicle parking detecting system as claimed in claim 1, it is characterised in that the harvester is additionally operable to timing never The picture of parking position described in orientation sample.
- 10. such as claim 1 to 9 any one of them vehicle parking detecting system, it is characterised in that the data processing centre If being additionally operable to the vehicle body area in the range of the preset area, the license plate number of the vehicle is obtained by the picture； If determine that the vehicle is common vehicle according to the license plate number, but the parking stall is special parking stall, or according to the car plate Number determine that the vehicle is special car, but the parking stall is common parking stall, it is determined that vehicle institute parking stall type error.
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|---|---|---|---|
| CN201711498880.XA CN107945573A (en) | 2017-12-29 | 2017-12-29 | Vehicle parking detecting system |
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| CN201711498880.XA CN107945573A (en) | 2017-12-29 | 2017-12-29 | Vehicle parking detecting system |
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| CN201711498880.XA Pending CN107945573A (en) | 2017-12-29 | 2017-12-29 | Vehicle parking detecting system |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108922235A (en) * | 2018-07-20 | 2018-11-30 | 西安艾润物联网技术服务有限责任公司 | Parking space state monitoring method, device and computer readable storage medium |
| CN109272751A (en) * | 2018-08-31 | 2019-01-25 | 西安艾润物联网技术服务有限责任公司 | A kind of vehicles management method and relevant apparatus |
| CN109410631A (en) * | 2018-09-12 | 2019-03-01 | 西安艾润物联网技术服务有限责任公司 | Alarm method and device |
| CN109448422A (en) * | 2018-10-15 | 2019-03-08 | 西安艾润物联网技术服务有限责任公司 | Parking lot management method and relevant apparatus |
| CN109615914A (en) * | 2018-12-28 | 2019-04-12 | 西安艾润物联网技术服务有限责任公司 | Parking stall alarm method and device |
| CN110969863A (en) * | 2019-12-16 | 2020-04-07 | 西安戴森电子技术有限公司 | Parking garage vehicle management system |
| CN111091718A (en) * | 2019-12-31 | 2020-05-01 | 广东华车智库智能科技有限公司 | Parking monitoring early warning method and parking monitoring early warning system |
| CN111862627A (en) * | 2020-07-17 | 2020-10-30 | 安徽达尔智能控制系统股份有限公司 | Traffic violation stop snapshot automatic processing system |
| CN112017474A (en) * | 2020-09-04 | 2020-12-01 | 广州致朗科技有限公司 | Video monitoring system for underground parking lot |
| CN113269979A (en) * | 2021-03-30 | 2021-08-17 | 北京悦畅科技有限公司 | Parking space occupation warning method and system, roadside unit equipment and electronic equipment |
| CN115019546A (en) * | 2022-05-26 | 2022-09-06 | 北京精英路通科技有限公司 | Parking prompting method and device, electronic equipment and storage medium |
| CN115497329A (en) * | 2022-09-19 | 2022-12-20 | 安徽凯旋智能停车设备有限公司 | Unmanned management system of small-size garage parking |
Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001291194A (en) * | 2000-04-06 | 2001-10-19 | Nec Corp | System for deciding parking lot congestion degree |
| CN102097843A (en) * | 2011-01-05 | 2011-06-15 | 山东申普交通科技有限公司 | Intelligent charging management system for parking lot and time sharing charge control method |
| CN103942977A (en) * | 2014-04-23 | 2014-07-23 | 上海思亮信息技术股份有限公司 | Parking space management system and management method thereof |
| CN104282172A (en) * | 2014-10-27 | 2015-01-14 | 合肥指南针电子科技有限责任公司 | Special vehicle parking place occupation alarm giving method and system |
| CN104916159A (en) * | 2015-03-25 | 2015-09-16 | 北京长城金点物联网科技股份有限公司 | Vehicle detection method and detection system |
| CN105047008A (en) * | 2015-06-24 | 2015-11-11 | 吴建国 | System and method for reserving parking stall in stereo parking lot and parking car |
| CN204833591U (en) * | 2015-08-10 | 2015-12-02 | 河南师范大学 | Parking stall discernment alarm device |
| CN105303704A (en) * | 2015-09-21 | 2016-02-03 | 四川豪特实业集团有限公司 | Internet electric car charging point managing system and method |
| CN105551305A (en) * | 2015-12-23 | 2016-05-04 | 惠州市源城驾驶员培训服务有限公司 | Vehicle parking indication system |
| CN105809975A (en) * | 2016-05-30 | 2016-07-27 | 北京精英智通科技股份有限公司 | Abnormal parking judgment method and abnormal parking judgment device |
| CN205609019U (en) * | 2016-05-10 | 2016-09-28 | 北京精英智通科技股份有限公司 | Warning system of parkking breaks law |
| CN106023595A (en) * | 2016-06-13 | 2016-10-12 | 北京精英智通科技股份有限公司 | Abnormal parking determination method, abnormal parking determination device and dome camera |
| CN106097762A (en) * | 2016-08-04 | 2016-11-09 | 浙江志诚软件有限公司 | A kind of vehicle information acquisition system and management system |
| CN106157402A (en) * | 2016-06-27 | 2016-11-23 | 合肥指南针电子科技有限责任公司 | A kind of parking stall automatic unlocking system and method |
| CN106601020A (en) * | 2016-12-20 | 2017-04-26 | 纳恩博（北京）科技有限公司 | Parking management robot, parking management method and system |
| CN107045800A (en) * | 2016-12-20 | 2017-08-15 | 河南省电力勘测设计院 | A kind of intelligence community parking stall management method |
| CN107195198A (en) * | 2017-07-31 | 2017-09-22 | 重庆酷贝科技发展有限公司 | A kind of curb parking management method and its system based on image recognition technology |
| CN206538706U (en) * | 2016-08-19 | 2017-10-03 | 智车优行科技（北京）有限公司 | Berth lock and parking management system |
| CN107331208A (en) * | 2017-09-01 | 2017-11-07 | 徐州工程学院 | A kind of idle parking stall and nonstandard detection method of stopping based on computer vision |
-
2017
- 2017-12-29 CN CN201711498880.XA patent/CN107945573A/en active Pending
Patent Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001291194A (en) * | 2000-04-06 | 2001-10-19 | Nec Corp | System for deciding parking lot congestion degree |
| CN102097843A (en) * | 2011-01-05 | 2011-06-15 | 山东申普交通科技有限公司 | Intelligent charging management system for parking lot and time sharing charge control method |
| CN103942977A (en) * | 2014-04-23 | 2014-07-23 | 上海思亮信息技术股份有限公司 | Parking space management system and management method thereof |
| CN104282172A (en) * | 2014-10-27 | 2015-01-14 | 合肥指南针电子科技有限责任公司 | Special vehicle parking place occupation alarm giving method and system |
| CN104916159A (en) * | 2015-03-25 | 2015-09-16 | 北京长城金点物联网科技股份有限公司 | Vehicle detection method and detection system |
| CN105047008A (en) * | 2015-06-24 | 2015-11-11 | 吴建国 | System and method for reserving parking stall in stereo parking lot and parking car |
| CN204833591U (en) * | 2015-08-10 | 2015-12-02 | 河南师范大学 | Parking stall discernment alarm device |
| CN105303704A (en) * | 2015-09-21 | 2016-02-03 | 四川豪特实业集团有限公司 | Internet electric car charging point managing system and method |
| CN105551305A (en) * | 2015-12-23 | 2016-05-04 | 惠州市源城驾驶员培训服务有限公司 | Vehicle parking indication system |
| CN205609019U (en) * | 2016-05-10 | 2016-09-28 | 北京精英智通科技股份有限公司 | Warning system of parkking breaks law |
| CN105809975A (en) * | 2016-05-30 | 2016-07-27 | 北京精英智通科技股份有限公司 | Abnormal parking judgment method and abnormal parking judgment device |
| CN106023595A (en) * | 2016-06-13 | 2016-10-12 | 北京精英智通科技股份有限公司 | Abnormal parking determination method, abnormal parking determination device and dome camera |
| CN106157402A (en) * | 2016-06-27 | 2016-11-23 | 合肥指南针电子科技有限责任公司 | A kind of parking stall automatic unlocking system and method |
| CN106097762A (en) * | 2016-08-04 | 2016-11-09 | 浙江志诚软件有限公司 | A kind of vehicle information acquisition system and management system |
| CN206538706U (en) * | 2016-08-19 | 2017-10-03 | 智车优行科技（北京）有限公司 | Berth lock and parking management system |
| CN106601020A (en) * | 2016-12-20 | 2017-04-26 | 纳恩博（北京）科技有限公司 | Parking management robot, parking management method and system |
| CN107045800A (en) * | 2016-12-20 | 2017-08-15 | 河南省电力勘测设计院 | A kind of intelligence community parking stall management method |
| CN107195198A (en) * | 2017-07-31 | 2017-09-22 | 重庆酷贝科技发展有限公司 | A kind of curb parking management method and its system based on image recognition technology |
| CN107331208A (en) * | 2017-09-01 | 2017-11-07 | 徐州工程学院 | A kind of idle parking stall and nonstandard detection method of stopping based on computer vision |
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108922235A (en) * | 2018-07-20 | 2018-11-30 | 西安艾润物联网技术服务有限责任公司 | Parking space state monitoring method, device and computer readable storage medium |
| CN109272751B (en) * | 2018-08-31 | 2021-07-30 | 西安艾润物联网技术服务有限责任公司 | Vehicle management method and related device |
| CN109272751A (en) * | 2018-08-31 | 2019-01-25 | 西安艾润物联网技术服务有限责任公司 | A kind of vehicles management method and relevant apparatus |
| CN109410631A (en) * | 2018-09-12 | 2019-03-01 | 西安艾润物联网技术服务有限责任公司 | Alarm method and device |
| CN109448422A (en) * | 2018-10-15 | 2019-03-08 | 西安艾润物联网技术服务有限责任公司 | Parking lot management method and relevant apparatus |
| CN112598928B (en) * | 2018-10-15 | 2022-04-08 | 西安艾润物联网技术服务有限责任公司 | Parking lot management method and related device |
| CN112598929B (en) * | 2018-10-15 | 2022-04-08 | 西安艾润物联网技术服务有限责任公司 | Parking lot management method and related device |
| CN112509373B (en) * | 2018-10-15 | 2022-04-08 | 西安艾润物联网技术服务有限责任公司 | Parking lot management method and related device |
| CN112509373A (en) * | 2018-10-15 | 2021-03-16 | 西安艾润物联网技术服务有限责任公司 | Parking lot management method and related device |
| CN112598929A (en) * | 2018-10-15 | 2021-04-02 | 西安艾润物联网技术服务有限责任公司 | Parking lot management method and related device |
| CN112598928A (en) * | 2018-10-15 | 2021-04-02 | 西安艾润物联网技术服务有限责任公司 | Parking lot management method and related device |
| CN109615914A (en) * | 2018-12-28 | 2019-04-12 | 西安艾润物联网技术服务有限责任公司 | Parking stall alarm method and device |
| CN110969863A (en) * | 2019-12-16 | 2020-04-07 | 西安戴森电子技术有限公司 | Parking garage vehicle management system |
| CN111091718B (en) * | 2019-12-31 | 2022-02-15 | 广东华车智库智能科技有限公司 | Parking monitoring early warning method and parking monitoring early warning system |
| CN111091718A (en) * | 2019-12-31 | 2020-05-01 | 广东华车智库智能科技有限公司 | Parking monitoring early warning method and parking monitoring early warning system |
| CN111862627A (en) * | 2020-07-17 | 2020-10-30 | 安徽达尔智能控制系统股份有限公司 | Traffic violation stop snapshot automatic processing system |
| CN112017474B (en) * | 2020-09-04 | 2021-07-30 | 广州致朗科技有限公司 | Video monitoring system for underground parking lot |
| CN112017474A (en) * | 2020-09-04 | 2020-12-01 | 广州致朗科技有限公司 | Video monitoring system for underground parking lot |
| CN113269979A (en) * | 2021-03-30 | 2021-08-17 | 北京悦畅科技有限公司 | Parking space occupation warning method and system, roadside unit equipment and electronic equipment |
| CN115019546A (en) * | 2022-05-26 | 2022-09-06 | 北京精英路通科技有限公司 | Parking prompting method and device, electronic equipment and storage medium |
| CN115497329A (en) * | 2022-09-19 | 2022-12-20 | 安徽凯旋智能停车设备有限公司 | Unmanned management system of small-size garage parking |
| CN115497329B (en) * | 2022-09-19 | 2023-10-17 | 安徽凯旋智能停车设备有限公司 | Unmanned management system for small parking garage |
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