CN110285870A - Vehicle spindle-type and wheel number determination method and its system - Google Patents
Vehicle spindle-type and wheel number determination method and its system Download PDFInfo
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- CN110285870A CN110285870A CN201910662627.6A CN201910662627A CN110285870A CN 110285870 A CN110285870 A CN 110285870A CN 201910662627 A CN201910662627 A CN 201910662627A CN 110285870 A CN110285870 A CN 110285870A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/02—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles
- G01G19/025—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles wheel-load scales
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/02—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles
- G01G19/03—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles for weighing during motion
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G23/00—Auxiliary devices for weighing apparatus
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G23/00—Auxiliary devices for weighing apparatus
- G01G23/18—Indicating devices, e.g. for remote indication; Recording devices; Scales, e.g. graduated
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
- G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
- G06T7/337—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving reference images or patches
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
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Abstract
The present invention relates to technical field of vehicle detection, disclosing a kind of vehicle spindle-type and wheel number determination method and its system, method includes: the bottom image for obtaining the side image containing wheel figure and the figure containing axonia;Pretreatment image;At least one spindle-type template is preset, identifies the spindle-type figure in the image of bottom, generates spindle-type result;Default wheel end template, identifies the wheel bottom number in bottom diagram, calculates bottom wheel count summation;Default single-wheel template and two-wheel template;The corresponding wheel count of the wheel figure in side image is identified according to single-wheel template and two-wheel template using template matching method, calculates side wheel count summation;If bottom wheel count summation is equal to side wheel count summation, spindle-type result is correct, and exports spindle-type result and bottom wheel count summation;Otherwise, it detects, is not needed using tire recognizer again, vehicle spindle-type and wheel number can be detected using the easy image-pickup method of substitute mode.
Description
Technical field
The present invention relates to technical field of vehicle detection, more specifically, it relates to which a kind of vehicle spindle-type and wheel number detect
Analysis method and its system.
Background technique
Whether the existing lorry in China is broadly divided into double-front axle lorry and non-double-front axle lorry two major classes, while having and filling
Shaft coupling, limitation loading capacity are different.So, it double-front axle and and fills shaft coupling just and becomes each apparatus manufacture and judge spindle-type
One of major criterion can detect spindle-type using tire recognizer in the prior art.When tire recognizer is installed, need to excavate road
Face can be detected after embedded, and during the spindle-type of the lasting multiple vehicles of detection, weight is biggish to be constantly pressed in tire
On identifier, so that tire recognizer is easily damaged, and just need again excavated pavement more to renew after tire recognizer damage
Tire recognizer, it is time-consuming and laborious.
Summary of the invention
For the replacement of existing tire recognizer, inconvenient, time-consuming and laborious technical problem, the object of the invention one provide one
Kind vehicle spindle-type and wheel number determination method, do not need to adopt using tire recognizer using the easy image of substitute mode
Set method can detect vehicle spindle-type and wheel number;The object of the invention two provides a kind of vehicle spindle-type and wheel number tests and analyzes and is
System, does not need using tire recognizer, can detect vehicle spindle-type and wheel using the easy image collection assembly of substitute mode
Number.
To achieve the above object one, the present invention provides the following technical scheme that
A kind of vehicle spindle-type and wheel number determination method, include the following steps:
Two side images and bottom image of vehicle are obtained, contain wheel figure, institute in the side image and bottom image
State figure containing axonia in the image of bottom;
Pre-process the side image and the bottom image;
At least one spindle-type template is preset, is identified in the bottom image using template matching method according to the spindle-type template
Spindle-type figure generates spindle-type result;
Default wheel end template, identifies the wheel bottom number in the bottom diagram according to the wheel end template using template matching method,
Calculate bottom wheel count summation;
Default single-wheel template and two-wheel template;The side is identified according to single-wheel template and two-wheel template using template matching method
The corresponding wheel count of wheel figure in image, calculates side wheel count summation;
If the bottom wheel count summation is equal to the side wheel count summation, the spindle-type result is correct, and defeated
The spindle-type result and the bottom wheel count summation out;Otherwise, it detects again.
Through the above technical solutions, identifying vehicle sideways through single-wheel template and two-wheel template using side image
The wheel number of side identifies wheel number from vehicle bottom by taking turns end template, the angle recognition different from two using bottom image
Wheel number out improves the accuracy of detection and analysis, then by spindle-type template, identifies spindle-type as a result, then using wheel number
Result verify the accuracy of spindle-type result, better assure that the accuracy of spindle-type result, do not need to identify using tire
Device can detect vehicle spindle-type and wheel number using the easy image-pickup method of substitute mode.
Further, further includes:
Multiple gravitation informations of fixed cycle acquisition vehicle;
Pre-process multiple gravitation informations;
Multiple gravitation informations are fitted, gravity result is generated;
Table is corresponded to according to preset spindle-type wheel gravity, according to the spindle-type result and the wheel count, is matched corresponding
Weight is as a result, if the gravity result is greater than the weight as a result, warning note.
Through the above technical solutions, the gravitation information of acquisition is the actual weight of vehicle, the step of multiple gravitation information fittings
Suddenly be conducive to improve the accuracy of gravitation information, and weight result is the theoretical loading capacity of vehicle, if gravity result is greater than weight
As a result, being then overload of vehicle, warning note is needed, improves safety.
Further, include highlighted mesosphere and highlighted wheel tyre bead in the single-wheel template, include in the two-wheel template
Low bright mesosphere, low bright wheel tyre bead and low dark tyre contour outline circle;
The highlighted mesosphere is located at the intermediate position of the highlighted wheel tyre bead, and the coaxial heart of the two;
The low bright mesosphere is located at the intermediate position of the low bright wheel tyre bead, and the coaxial heart of the two, the low dark tyre contour outline
Circle, positioned at the outside of the low bright wheel tyre bead.
Through the above technical solutions, the wheel hub among single-wheel outwardly protrudes in actual vehicle, the wheel hub among two-wheel to
Sunken inside is greater than the wheel hub of two-wheel on the wheel hub of single-wheel by illumination, and wheel hub is different from the color of tire, and two-wheel outside
Tire the bright tire in the inside of brightness, single-wheel, two-wheel can be accurately identified very much from side image using these speciality
In foreign steamer and lubrication groove, realize accurately identifying for wheel.
Further, in two side images and bottom image for obtaining vehicle, comprising:
The bottom image at least two obtained, the direction of at least one image are at least one figure from headstock to the tailstock
The direction of picture is from the tailstock to headstock;
The shooting height of the side image obtained, higher than the most significant end of vehicle, lower than the least significant end in compartment.
Through the above technical solutions, obtain bottom image at least two, until the direction of an image be from headstock to
For the tailstock to strengthen the feature of headstock part, the direction of at least one image is the spy from the tailstock to headstock to strengthen tailstock position
Sign, and bottom among position feature by from headstock to the tailstock with the image superposition from the tailstock to headstock to enhance, to guarantee
Required feature, which obtains enhancing, in image to lose, and improve the accuracy of identification.
Further, the side image of acquisition at least four;
The direction of at least two images is from headstock to the tailstock, and two images are not in the same side;
The direction of at least two images is from the tailstock to headstock, and two images are not in the same side.
Through the above technical solutions, there are the image of different directions in two sides, the true of image and situation is preferably improved
Matching degree, conducive to guaranteeing that required feature will not lose in image.
To achieve the above object two, the present invention provides the following technical scheme that
A kind of vehicle spindle-type and wheel number testing and analysis system, including following module:
Image capture module, for obtaining side image and bottom image, the side image and the bottom of two sides of vehicle
Contain wheel figure, figure containing axonia in the bottom image in image;
Central processing unit, and image capture module data connection, for running internal program with obtain image and to image into
Row processing;
Include: in the central processing
Image pre-processing module, for pre-processing the side image and the bottom image;
Spindle-type matching module is identified using template matching method according to the spindle-type template for presetting at least one spindle-type template
Spindle-type figure in the bottom image out generates spindle-type result;
Bottom computing module is taken turns, for default wheel end template, the bottom is identified according to the wheel end template using template matching method
Wheel bottom number in portion's figure, calculates bottom wheel count summation;
Wheel computing module, for presetting single-wheel template and two-wheel template;Using template matching method according to single-wheel template and two-wheel
Template identifies the corresponding wheel count of wheel figure in the side image, calculates side wheel count summation;
As a result output module, if for judging that the bottom wheel count summation is equal to the side wheel count summation, institute
It is correct for stating spindle-type result, and exports the spindle-type result and the bottom wheel count summation;Otherwise, it detects again.
Further, system further include:
The ground that vehicle crosses is arranged in gravity acquisition module, with the central processing unit data connection, obtains for fixed cycle
Multiple gravitation informations of vehicle simultaneously send the gravitation information to the central processing unit;
Gravity preprocessing module, for pre-processing multiple gravitation informations;
Gravity fitting module generates gravity result for being fitted multiple gravitation informations;
Gravity comparison module, for corresponding to table according to preset spindle-type wheel gravity, according to the spindle-type result and the wheel
Quantity matches corresponding weight as a result, if the gravity result is greater than the weight as a result, warning note.
Further, include highlighted mesosphere and highlighted wheel tyre bead in the single-wheel template, include in the two-wheel template
Low bright mesosphere, low bright wheel tyre bead and low dark tyre contour outline circle;
The highlighted mesosphere is located at the intermediate position of the highlighted wheel tyre bead, and the coaxial heart of the two;
The low bright mesosphere is located at the intermediate position of the low bright wheel tyre bead, and the coaxial heart of the two, the low dark tyre contour outline
Circle, positioned at the outside of the low bright wheel tyre bead.
Further, the bottom image of acquisition at least two, the direction of at least one image are from headstock to vehicle
Tail, the direction of at least one image are from the tailstock to headstock;
The shooting height of the side image obtained, higher than the most significant end of vehicle, lower than the least significant end in compartment.
Further, the side image of acquisition at least four;
The direction of at least two images is from headstock to the tailstock, and two images are not in the same side;
The direction of at least two images is from the tailstock to headstock, and two images are not in the same side.
Compared with prior art, the beneficial effects of the present invention are: using side image, sideways through single-wheel template and double
Wheel template identifies the wheel number of vehicular sideview, using bottom image, wheel number is identified from vehicle bottom by taking turns end template, from two
A different angle recognition goes out wheel number, and using in actual vehicle, the wheel hub among single-wheel is outwardly protruded, the wheel hub among two-wheel
It is recessed inwardly, is greater than the wheel hub of two-wheel on the wheel hub of single-wheel by illumination, wheel hub is different from the color of tire, and outside two-wheel
The bright tire in the inside of the brightness of the tire in face can accurately identify single-wheel, double using these speciality from side image very much
Foreign steamer and lubrication groove in wheel, realize accurately identifying for wheel, improve the accuracy of detection and analysis.
By spindle-type template, spindle-type is identified as a result, then verifying the accurate of spindle-type result using the result of wheel number
Degree, is better assured that the accuracy of spindle-type result, does not need to be adopted using tire recognizer using the easy image of substitute mode
Set method can detect vehicle spindle-type and wheel number.The gravitation information for reusing gravity sensor acquisition is the practical heavy of vehicle
The step of amount, multiple gravitation informations are fitted, is conducive to improve the accuracy of gravitation information, and weight result is that the theoretical of vehicle carries
Weight, if gravity result be greater than weight as a result, if be overload of vehicle, need warning note, improve safety.
Detailed description of the invention
Fig. 1 is the image calculation method flow chart of the embodiment of the present invention one;
Fig. 2 is the Gravity calculation method flow diagram of the embodiment of the present invention one;
Fig. 3 is the block diagram of the embodiment of the present invention two;
Fig. 4 is the position view of one image capture module of the embodiment of the present invention.
Appended drawing reference: 1, image capture module;2, central processing unit;201, image pre-processing module;202, spindle-type matches
Module;203, bottom computing module is taken turns;204, wheel computing module;205, result output module;206, gravity preprocessing module;
207, gravity fitting module;208, gravity comparison module;3, gravity acquisition module.
Specific embodiment
With reference to the accompanying drawings and examples, the present invention will be described in detail.
Embodiment one
A kind of vehicle spindle-type and wheel number determination method are based on image capture module 1, with image as best shown in figs. 1 and 4
The central processing unit 2 that acquisition module 1 connects, and the gravity acquisition module 3 being connect with central processing unit 2.Image capture module 1
For multiple cameras.Two of them wide-angle camera is embedded in ground shooting vehicle bottom, and with glass protection, a camera is obliquely
It claps from headstock to the tailstock, another camera is clapped from the tailstock to headstock obliquely, wherein can also be used multiple shooting vehicle bottoms different
Che Di topography is discharged in the camera at position, is then combined into whole picture vehicle base map picture.Wherein four camera frames are located at the two of vehicle
Side, each two cameras in the two sides of vehicle and be in symmetric design in vehicle two sides, a camera is obliquely from headstock by the side of vehicle
It claps to the tailstock, another camera is clapped from the tailstock to headstock obliquely;The height of camera is the most significant end higher than vehicle by vehicle,
Lower than the least significant end in compartment.Central processing unit 2 reads or receives the data of image collection assembly and gravity acquisition component, and holds
Method program processing data inside row are to obtain a result.
Wherein, method includes the following steps:
Two side images and bottom image of vehicle are obtained, contain wheel figure, bottom diagram in side image and bottom image
The figure containing axonia as in.Spindle-type figure includes but are not limited to double-front axle and and fills the figures of both spindle-type of shaft coupling.It is default
At least one spindle-type template identifies the spindle-type figure in the image of bottom according to spindle-type template using template matching method, generates axis
Type result.Spindle-type template includes but are not limited to double-front axle or and fills the canonical reference templates of both spindle-type of shaft coupling.Default wheel
End template identifies the wheel bottom number in bottom diagram according to wheel end template using template matching method, calculates bottom wheel count
Summation.Wheel end template projects on the ground for the corresponding tire of canonical reference template mesinae and the throwing on wide-angle camera
Shadow.
Side image and bottom image are pre-processed, preprocessing means include but are not only limited to gaussian filtering, are converted into gray scale
Figure or contours extract.The bottom image of acquisition at least two, the direction of at least one image is from headstock to the tailstock at least one
The direction for opening image is from the tailstock to headstock.The shooting height of the side image of acquisition is lower than compartment higher than the most significant end of vehicle
Least significant end.The bottom image of acquisition at least two, until the direction of an image is from headstock to the tailstock to strengthen headstock portion
The feature of position, the direction of at least one image is the feature from the tailstock to headstock to strengthen tailstock position, and position among bottom
Feature by from headstock to the tailstock with the image superposition from the tailstock to headstock to enhance, to ensure that required spy in image
Obtaining enhancing will not lose, and improve the accuracy of identification.The side image of acquisition at least four;At least two images
Direction is from headstock to the tailstock, and two images are not in the same side;The direction of at least two images is from the tailstock to headstock, this two
Image is opened not in the same side.There are the image of different directions in two sides, preferably improve the true match degree of image and situation, benefit
Required feature will not lose in guarantee image.
Default single-wheel template and two-wheel template include highlighted mesosphere and highlighted wheel tyre bead in single-wheel template, highlight intermediate
Circle is located at the intermediate position of highlighted wheel tyre bead, and the coaxial heart of the two.In two-wheel template include low bright mesosphere, low bright wheel tyre bead with
And low dark tyre contour outline circle.Low bright mesosphere is located at the intermediate position of low bright wheel tyre bead, and the coaxial heart of the two, low dark tyre contour outline
Circle, positioned at the outside of low bright wheel tyre bead.In actual vehicle, the wheel hub among single-wheel is outwardly protruded, the wheel hub among two-wheel to
Sunken inside is greater than the wheel hub of two-wheel on the wheel hub of single-wheel by illumination, and wheel hub is different from the color of tire, and two-wheel outside
Tire the bright tire in the inside of brightness, single-wheel, two-wheel can be accurately identified very much from side image using these speciality
In foreign steamer and lubrication groove, realize accurately identifying for wheel.It is identified using template matching method according to single-wheel template and two-wheel template
The corresponding wheel count of wheel figure in side image, calculates side wheel count summation.
If bottom wheel count summation is equal to side wheel count summation, spindle-type result is correct, and exports spindle-type knot
Fruit and bottom wheel count summation;Otherwise, it detects again.
As shown in Fig. 2, fixed cycle obtains multiple gravitation informations of vehicle, gravity acquisition device includes but are not limited to weighbridge
Or multiple gravity sensors, 2 fixed cycle of central processing unit read gravity acquisition device.Multiple gravitation informations are pre-processed, it is pre- to locate
Reason means include but are not only limited to window filtering or Kalman filtering.Multiple gravitation informations are fitted, generate gravity as a result, fitting hand
Section is included but is not only limited to be fitted using Weighted Average Algorithm.Table is corresponded to according to preset spindle-type wheel gravity, according to spindle-type knot
Fruit and wheel count match corresponding weight as a result, if gravity result is greater than weight as a result, central controller exports alarm signal
Number warning note is carried out, if the warning device that central controller connection is extraneous, such as combined aural and visual alarm, then combined aural and visual alarm receives report
Sound-light alarm is issued after alert signal.The step of gravitation information of acquisition is the actual weight of vehicle, and multiple gravitation informations are fitted has
Conducive to improve gravitation information accuracy, and weight result be vehicle theoretical loading capacity, if gravity result be greater than weight as a result,
Then it is overload of vehicle, needs warning note, improves safety.
Using side image, the wheel number of vehicular sideview is identified sideways through single-wheel template and two-wheel template, is used
Bottom image identifies wheel number from vehicle bottom by taking turns end template, and the angle recognition different from two goes out wheel number, improves inspection
The accuracy of analysis is surveyed, then by spindle-type template, identifies spindle-type as a result, then verifying spindle-type knot using the result of wheel number
The accuracy of fruit better assures that the accuracy of spindle-type result, does not need to be easy using tire recognizer using substitute mode
Image-pickup method can detect vehicle spindle-type and wheel number.
Embodiment two
A kind of method content reference implementation example one that vehicle spindle-type is run with wheel number testing and analysis system, system, such as Fig. 3 institute
Show, including following module:
Image capture module 1, for obtaining the side image and bottom image of two sides of vehicle, side image and bottom image
In contain wheel figure, figure containing axonia in the image of bottom;
Central processing unit 2, and 1 data connection of image capture module, for running internal program to obtain image and to image
It is handled;
Include: in central processing
Image pre-processing module 201, for pre-processing side image and bottom image;
Spindle-type matching module 202 is identified using template matching method according to spindle-type template for presetting at least one spindle-type template
Spindle-type figure in the image of bottom generates spindle-type result;
Bottom computing module 203 is taken turns, for default wheel end template, is identified in bottom diagram using template matching method according to wheel end template
Wheel bottom number, calculate bottom wheel count summation;
Wheel computing module 204, for presetting single-wheel template and two-wheel template;Using template matching method according to single-wheel template and double
Wheel template identifies the corresponding wheel count of wheel figure in side image, calculates side wheel count summation;
As a result output module 205, if for judging that wheel count summation in bottom is equal to side wheel count summation, spindle-type result
To be correct, and export spindle-type result and bottom wheel count summation;Otherwise, it detects again.
The ground that vehicle crosses is arranged in gravity acquisition module 3, with 2 data connection of central processing unit, obtains for fixed cycle
Multiple gravitation informations of pick-up simultaneously send gravitation information to central processing unit 2;
Gravity preprocessing module 206, for pre-processing multiple gravitation informations.Gravity fitting module 207, for being fitted multiple gravity
Information generates gravity result.Gravity comparison module 208, for corresponding to table according to preset spindle-type wheel gravity, according to spindle-type knot
Fruit and wheel count match corresponding weight as a result, if gravity result is greater than weight as a result, warning note.Gravity pretreatment
Module 206, gravity fitting module 207 and gravity comparison module 208 can be provided separately in single-chip microcontroller, PLC or computer,
It can be used as software firmware to be preset in central processing unit 2.
Include highlighted mesosphere and highlighted wheel tyre bead in single-wheel template, includes low bright mesosphere, low bright wheel in two-wheel template
Tyre bead and low dark tyre contour outline circle.Highlighted mesosphere is located at the intermediate position of highlighted wheel tyre bead, and the coaxial heart of the two.It is low it is bright in
Between circle be located at the intermediate position of low bright wheel tyre bead, and the coaxial heart of the two, low dark tyre contour outline circle, outside low bright wheel tyre bead
Side.
The bottom image of acquisition at least two, the direction of at least one image is at least one figure from headstock to the tailstock
The direction of picture is from the tailstock to headstock.The shooting height of the side image of acquisition, higher than the most significant end of vehicle, most lower than compartment
Low side.The side image of acquisition at least four.The direction of at least two images is from headstock to the tailstock, which does not exist
The same side.The direction of at least two images is from the tailstock to headstock, and two images are not in the same side.
The above is only a preferred embodiment of the present invention, protection scope of the present invention is not limited merely to above-mentioned implementation
Example, all technical solutions belonged under thinking of the present invention all belong to the scope of protection of the present invention.It should be pointed out that for the art
Those of ordinary skill for, several improvements and modifications without departing from the principles of the present invention, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (10)
1. a kind of vehicle spindle-type and wheel number determination method, which comprises the steps of: obtain two sides of vehicle
Contain wheel figure in the side image in face and bottom image, the side image and bottom image, contains in the bottom image
Axonia figure;
Pre-process the side image and the bottom image;
At least one spindle-type template is preset, is identified in the bottom image using template matching method according to the spindle-type template
Spindle-type figure generates spindle-type result;
Default wheel end template, identifies the wheel bottom number in the bottom diagram according to the wheel end template using template matching method,
Calculate bottom wheel count summation;
Default single-wheel template and two-wheel template;The side is identified according to single-wheel template and two-wheel template using template matching method
The corresponding wheel count of wheel figure in image, calculates side wheel count summation;
If the bottom wheel count summation is equal to the side wheel count summation, the spindle-type result is correct, and defeated
The spindle-type result and the bottom wheel count summation out;Otherwise, it detects again.
2. the method according to claim 1, wherein further include:
Multiple gravitation informations of fixed cycle acquisition vehicle;
Pre-process multiple gravitation informations;
Multiple gravitation informations are fitted, gravity result is generated;
Table is corresponded to according to preset spindle-type wheel gravity, according to the spindle-type result and the wheel count, is matched corresponding
Weight is as a result, if the gravity result is greater than the weight as a result, warning note.
3. the method according to claim 1, wherein including highlighted mesosphere and highlighted wheel in the single-wheel template
Tyre bead includes low bright mesosphere, low bright wheel tyre bead and low dark tyre contour outline circle in the two-wheel template;
The highlighted mesosphere is located at the intermediate position of the highlighted wheel tyre bead, and the coaxial heart of the two;
The low bright mesosphere is located at the intermediate position of the low bright wheel tyre bead, and the coaxial heart of the two, the low dark tyre contour outline
Circle, positioned at the outside of the low bright wheel tyre bead.
4. the method according to claim 1, wherein two side images and bottom image for obtaining vehicle
In, comprising:
The bottom image at least two obtained, the direction of at least one image are at least one figure from headstock to the tailstock
The direction of picture is from the tailstock to headstock;
The shooting height of the side image obtained, higher than the most significant end of vehicle, lower than the least significant end in compartment.
5. the method according to claim 1, wherein the side image at least four obtained;
The direction of at least two images is from headstock to the tailstock, and two images are not in the same side;
The direction of at least two images is from the tailstock to headstock, and two images are not in the same side.
6. a kind of vehicle spindle-type and wheel number testing and analysis system, which is characterized in that including following module:
Image capture module (1), for obtaining side image and bottom image, the side image and the bottom of two sides of vehicle
Contain wheel figure, figure containing axonia in the bottom image in portion's image;
Central processing unit (2), and image capture module (1) data connection, for running internal program to obtain image and right
Image is handled;
Include: in the central processing
Image pre-processing module (201), for pre-processing the side image and the bottom image;
Spindle-type matching module (202), for presetting at least one spindle-type template, using template matching method according to the spindle-type template
It identifies the spindle-type figure in the bottom image, generates spindle-type result;
It takes turns bottom computing module (203), for default wheel end template, institute is identified according to the wheel end template using template matching method
The wheel bottom number in bottom diagram is stated, bottom wheel count summation is calculated;
Wheel computing module (204), for presetting single-wheel template and two-wheel template;Using template matching method according to single-wheel template with
Two-wheel template identifies the corresponding wheel count of wheel figure in the side image, calculates side wheel count summation;
As a result output module (205), if for judging that the bottom wheel count summation is equal to the side wheel count summation,
Then the spindle-type result is correct, and exports the spindle-type result and the bottom wheel count summation;Otherwise, it detects again.
7. system according to claim 6, which is characterized in that system further include:
The ground that vehicle crosses is arranged in gravity acquisition module (3), all for determining with the central processing unit (2) data connection
Phase obtains multiple gravitation informations of vehicle and sends the gravitation information to the central processing unit (2);
Gravity preprocessing module (206), for pre-processing multiple gravitation informations;
Gravity fitting module (207) generates gravity result for being fitted multiple gravitation informations;
Gravity comparison module (208), for according to preset spindle-type wheel gravity corresponding to table, according to the spindle-type result with it is described
Wheel count matches corresponding weight as a result, if the gravity result is greater than the weight as a result, warning note.
8. system according to claim 6, which is characterized in that include highlighted mesosphere and highlighted wheel in the single-wheel template
Tyre bead includes low bright mesosphere, low bright wheel tyre bead and low dark tyre contour outline circle in the two-wheel template;
The highlighted mesosphere is located at the intermediate position of the highlighted wheel tyre bead, and the coaxial heart of the two;
The low bright mesosphere is located at the intermediate position of the low bright wheel tyre bead, and the coaxial heart of the two, the low dark tyre contour outline
Circle, positioned at the outside of the low bright wheel tyre bead.
9. system according to claim 6, which is characterized in that the bottom image at least two, at least one of acquisition
The direction for opening image is from headstock to the tailstock, and the direction of at least one image is from the tailstock to headstock;
The shooting height of the side image obtained, higher than the most significant end of vehicle, lower than the least significant end in compartment.
10. system according to claim 6, which is characterized in that the side image of acquisition at least four;
The direction of at least two images is from headstock to the tailstock, and two images are not in the same side;
The direction of at least two images is from the tailstock to headstock, and two images are not in the same side.
Priority Applications (1)
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111292432A (en) * | 2020-01-14 | 2020-06-16 | 北京巨视科技有限公司 | Vehicle charging type distinguishing method and device based on vehicle type recognition and wheel axle detection |
CN112883943A (en) * | 2021-04-28 | 2021-06-01 | 北京云星宇交通科技股份有限公司 | Shaft type identification method and system |
CN116453075A (en) * | 2023-06-14 | 2023-07-18 | 山东省科学院海洋仪器仪表研究所 | Axle identification method and system based on image processing |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101029824A (en) * | 2006-02-28 | 2007-09-05 | 沈阳东软软件股份有限公司 | Method and apparatus for positioning vehicle based on characteristics |
CN101196979A (en) * | 2006-12-22 | 2008-06-11 | 四川川大智胜软件股份有限公司 | Method for recognizing vehicle type by digital picture processing technology |
CN105809655A (en) * | 2014-12-30 | 2016-07-27 | 清华大学 | Vehicle checking method and system |
CN106384099A (en) * | 2016-09-28 | 2017-02-08 | 北京信路威科技股份有限公司 | Analysis method and system of vehicle model decision-making mechanism |
CN107274441A (en) * | 2017-06-14 | 2017-10-20 | 中国科学院遥感与数字地球研究所 | The wave band calibration method and system of a kind of high spectrum image |
CN107292974A (en) * | 2017-06-30 | 2017-10-24 | 深圳信路通智能技术有限公司 | Parking charge management system and method |
CN107423681A (en) * | 2017-05-27 | 2017-12-01 | 上海骁达信息科技有限公司 | A kind of vehicle automatic identification method and system |
CN107687885A (en) * | 2017-08-08 | 2018-02-13 | 合肥盈川信息技术有限公司 | Intelligent vehicle spindle-type and tire number of axle testing and analysis system |
CN108335332A (en) * | 2018-01-22 | 2018-07-27 | 浙江大学 | A kind of axial workpiece central axes measurement method based on binocular vision |
CN108387300A (en) * | 2018-03-09 | 2018-08-10 | 合肥盈川信息技术有限公司 | A kind of Intelligent Dynamic is weighed testing and analysis system integrated with axle for vehicle tyre-model shaft number |
CN109740410A (en) * | 2018-11-07 | 2019-05-10 | 中国铁路总公司 | A kind of train groups fault recognition method and device without presetting template |
CN210626051U (en) * | 2019-07-22 | 2020-05-26 | 深圳市卓城科技有限公司 | Vehicle axle type detection device |
-
2019
- 2019-07-22 CN CN201910662627.6A patent/CN110285870A/en active Pending
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101029824A (en) * | 2006-02-28 | 2007-09-05 | 沈阳东软软件股份有限公司 | Method and apparatus for positioning vehicle based on characteristics |
CN101196979A (en) * | 2006-12-22 | 2008-06-11 | 四川川大智胜软件股份有限公司 | Method for recognizing vehicle type by digital picture processing technology |
CN105809655A (en) * | 2014-12-30 | 2016-07-27 | 清华大学 | Vehicle checking method and system |
CN106384099A (en) * | 2016-09-28 | 2017-02-08 | 北京信路威科技股份有限公司 | Analysis method and system of vehicle model decision-making mechanism |
CN107423681A (en) * | 2017-05-27 | 2017-12-01 | 上海骁达信息科技有限公司 | A kind of vehicle automatic identification method and system |
CN107274441A (en) * | 2017-06-14 | 2017-10-20 | 中国科学院遥感与数字地球研究所 | The wave band calibration method and system of a kind of high spectrum image |
CN107292974A (en) * | 2017-06-30 | 2017-10-24 | 深圳信路通智能技术有限公司 | Parking charge management system and method |
CN107687885A (en) * | 2017-08-08 | 2018-02-13 | 合肥盈川信息技术有限公司 | Intelligent vehicle spindle-type and tire number of axle testing and analysis system |
CN108335332A (en) * | 2018-01-22 | 2018-07-27 | 浙江大学 | A kind of axial workpiece central axes measurement method based on binocular vision |
CN108387300A (en) * | 2018-03-09 | 2018-08-10 | 合肥盈川信息技术有限公司 | A kind of Intelligent Dynamic is weighed testing and analysis system integrated with axle for vehicle tyre-model shaft number |
CN109740410A (en) * | 2018-11-07 | 2019-05-10 | 中国铁路总公司 | A kind of train groups fault recognition method and device without presetting template |
CN210626051U (en) * | 2019-07-22 | 2020-05-26 | 深圳市卓城科技有限公司 | Vehicle axle type detection device |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111292432A (en) * | 2020-01-14 | 2020-06-16 | 北京巨视科技有限公司 | Vehicle charging type distinguishing method and device based on vehicle type recognition and wheel axle detection |
CN112883943A (en) * | 2021-04-28 | 2021-06-01 | 北京云星宇交通科技股份有限公司 | Shaft type identification method and system |
CN112883943B (en) * | 2021-04-28 | 2022-08-12 | 北京云星宇交通科技股份有限公司 | Shaft type identification method and system |
CN116453075A (en) * | 2023-06-14 | 2023-07-18 | 山东省科学院海洋仪器仪表研究所 | Axle identification method and system based on image processing |
CN116453075B (en) * | 2023-06-14 | 2023-09-08 | 山东省科学院海洋仪器仪表研究所 | Truck wheel axle identification method and system based on image processing |
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