CN107587455B - Based on more mesh numbers according to the car arrester control method of acquisition - Google Patents
Based on more mesh numbers according to the car arrester control method of acquisition Download PDFInfo
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- CN107587455B CN107587455B CN201710831250.3A CN201710831250A CN107587455B CN 107587455 B CN107587455 B CN 107587455B CN 201710831250 A CN201710831250 A CN 201710831250A CN 107587455 B CN107587455 B CN 107587455B
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01F—ADDITIONAL WORK, SUCH AS EQUIPPING ROADS OR THE CONSTRUCTION OF PLATFORMS, HELICOPTER LANDING STAGES, SIGNS, SNOW FENCES, OR THE LIKE
- E01F13/00—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions
- E01F13/04—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions movable to allow or prevent passage
- E01F13/08—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions movable to allow or prevent passage by swinging into closed position about a transverse axis situated in the road surface, e.g. tiltable sections of the road surface, tiltable parking posts
- E01F13/085—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions movable to allow or prevent passage by swinging into closed position about a transverse axis situated in the road surface, e.g. tiltable sections of the road surface, tiltable parking posts specially adapted for individual parking spaces
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/45—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from two or more image sensors being of different type or operating in different modes, e.g. with a CMOS sensor for moving images in combination with a charge-coupled device [CCD] for still images
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Abstract
The present invention relates to a kind of based on more mesh numbers according to the car arrester control method of acquisition, including：The controlled main body of car arrester is constructed using standing framework and pedestal framework, the standing framework includes supporting rack, inverted U upright bar and swingle, swingle is connect with inverted U upright bar, it is in erected state or state of couching for controlling inverted U upright bar, supporting rack is used at inverted U upright bar rear, it plays a supportive role to inverted U upright bar, inverted U upright bar is in the handoff procedure by erected state to state of couching, ground face forward is faced to fall down to be bonded ground, vehicle is facilitated to pass through, the pedestal framework includes left side cement groove body, right side cement groove body and chassis, left side cement groove body and right side cement groove body are all disposed in chassis, for in laid inside cement to be reinforced, the left side limbers of covering woven wire is provided on the cement groove body of left side, the right side limbers of covering woven wire is provided on the cement groove body of right side.
Description
Technical field
The present invention relates to airdrome control field more particularly to it is a kind of based on more mesh numbers according to the car arrester control method of acquisition.
Background technology
For car arrester there are two types of way of realization, one kind being referred to as car lug or stabilizing device is also referred to as tire burster, pricks tire device, is needle
The new product that hilllock escape phenomenon is rushed to toll station vehicular traffic and is developed.This car arrester is generally using automatic and hand
Dynamic double control has the function of two kinds of the tire that slows down and prick, and is control vehicle deceleration, and pre- anti-vehicle cruelty rushes hilllock, ensures road pipe people
Member's personal safety and the essential special facilities of property safety.
Another car arrester is used for vehicle parking, to parked vehicle or vehicle driver are carried out authentication verification, only
Have through verification, just allows corresponding vehicle parking to corresponding position.However, this current function of car arrester is relatively simple, structure
Design is not superior enough, cannot be satisfied existing demand, for example, the parking position parked to only running customization vehicle, cannot achieve phase
The authority checking mechanism answered.
Invention content
To solve the above-mentioned problems, the present invention provides a kind of based on more mesh numbers according to the car arrester control system of acquisition and side
Method.
The present invention at least has following three important inventive points：
(1) real-time update is carried out to target gray threshold range with history multiple wide field-of-view images, to ensure that target
Separating effect of the subgraph from wide field-of-view image ensures the accuracy of succeeding target type identification；
(2) imaging unit of more mesh cameras is subjected to complicated structure, with the figure of the wide field-of-view image after improving duplicate removal
While image quality amount, ensure the width in the visual field of image；
(3) by redesigning the inside structure of car arrester, increase multiple ancillary equipments, improve the Automated water of car arrester
It is flat.
According to an aspect of the present invention, a kind of car arrester control system based on more mesh numbers according to acquisition, the system are provided
System includes erecting framework and pedestal framework, and the standing framework includes supporting rack, inverted U upright bar and swingle, swingle and U
Type upright bar connects, and erected state or state of couching are in for controlling inverted U upright bar, and supporting rack is used at inverted U upright bar rear,
Play a supportive role to inverted U upright bar, inverted U upright bar in the handoff procedure by erected state to state of couching, face ground to
Front is fallen down to be bonded ground, and vehicle is facilitated to pass through, and the pedestal framework includes left side cement groove body, right side cement groove body and bottom
Frame, left side cement groove body and right side cement groove body are all disposed in chassis, in laid inside cement to be reinforced, left side
It is provided with the left side limbers of covering woven wire on cement groove body, the right side of covering woven wire is provided on the cement groove body of right side
Side limbers.
According to another aspect of the present invention, a kind of car arrester control method based on more mesh numbers according to acquisition, institute are additionally provided
The method of stating includes：Using framework and the pedestal framework construction controlled main body of car arrester is erected, the standing framework includes supporting rack, falls
U-shaped upright bar and swingle, swingle are connect with inverted U upright bar, and erected state or the shape that lies down are in for controlling inverted U upright bar
State, supporting rack are used to, at inverted U upright bar rear, play a supportive role to inverted U upright bar, inverted U upright bar by erected state to lying
In the handoff procedure of sleeping state, faces ground face forward and fall down to be bonded ground, facilitate vehicle to pass through, the pedestal framework includes
Left side cement groove body, right side cement groove body and chassis, left side cement groove body and right side cement groove body are all disposed in chassis, are used for
In laid inside cement to be reinforced, the left side limbers of covering woven wire, right side water are provided on the cement groove body of left side
The right side limbers of covering woven wire is provided on mud groove body.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is to be shown according to the structure of the car arrester control system of acquisition based on more mesh numbers according to shown in embodiment of the present invention
It is intended to.
Fig. 2 be according to shown in embodiment of the present invention based on more mesh numbers according to the pony sill of the car arrester control system of acquisition
The structural schematic diagram of embedded structure in the chassis inside of structure for being embedded in ground.
Fig. 3 is to be taken the photograph according to more mesh of the car arrester control system of acquisition based on more mesh numbers according to shown in embodiment of the present invention
As the block diagram of head.
Reference numeral：1 erects framework；11 supporting racks；12 inverted U upright bars；13 swingles；2 pedestal frameworks；21 left side cement
Groove body；22 right side cement groove bodies；211 left sides limbers；221 right sides limbers；121 camera mounting holes；122 stereo raise one's voice
Device；123LED shows equipment；124GPS positioning devices；
Specific implementation mode
Below with reference to accompanying drawings to the present invention based on more mesh numbers according to the car arrester control method of acquisition embodiment into
Row is described in detail.
In order to overcome above-mentioned deficiency, the present invention built it is a kind of based on more mesh numbers according to the car arrester control system of acquisition and side
Method.
Fig. 1 is to be shown according to the structure of the car arrester control system of acquisition based on more mesh numbers according to shown in embodiment of the present invention
It is intended to, the system comprises：
Erect framework and pedestal framework, the standings framework includes supporting rack, inverted U upright bar and swingle, swingle and
Inverted U upright bar connects, and is in erected state or state of couching for controlling inverted U upright bar, supporting rack is used for after inverted U upright bar
Side, plays a supportive role to inverted U upright bar, inverted U upright bar faces ground in the handoff procedure by erected state to state of couching
Fallen down forwards to be bonded ground, vehicle facilitated to pass through, the pedestal framework include left side cement groove body, right side cement groove body and
Chassis, left side cement groove body and right side cement groove body are all disposed in chassis, in laid inside cement to be reinforced, it is left
It is provided with the left side limbers of covering woven wire on the cement groove body of side, covering woven wire is provided on the cement groove body of right side
Right side limbers.
Wherein, as shown in Fig. 2, further including the embedded structure for being embedded in ground in chassis inside.
Then, continue to the present invention based on more mesh numbers according to the car arrester control system of acquisition concrete structure into advance one
The explanation of step.
It is described based on more mesh numbers according to can also include in the car arrester control system of acquisition：
As shown in figure 3, more mesh cameras, are installed in camera mounting hole, including multiple imaging units, each at
As unit is for the scene progress real time imagery operation in its areas imaging, each imaging unit to include Analysis signal-to-noise ratio (SNR)
Device, quality comparator and N number of imaging sensor, Analysis signal-to-noise ratio (SNR) device are connect with N number of imaging sensor respectively, for N number of figure
As the image progress Analysis signal-to-noise ratio (SNR) of sensor, quality comparator is connect with Analysis signal-to-noise ratio (SNR) device, for receiving N number of image
The signal-to-noise ratio of the image of sensor, and select the highest image of signal-to-noise ratio as the output figure of corresponding imaging unit
Picture；
Region merging technique equipment is connect with more mesh cameras, multiple output images for receiving multiple imaging units, and is examined
It surveys between multiple output images with the presence or absence of overlapping, and when there is overlapping, multiple output images is carried out by Duplicate Removal Algorithm
Merge to obtain the wide field-of-view image after duplicate removal；
Wherein, data linkage is also carried out between N number of imaging sensor, to ensure the multiple defeated of N number of imaging sensor output
The average brightness for going out image is consistent, and ensures that the dynamic range of multiple output images of N number of imaging sensor output is consistent；
Wherein, positions of the quantity i.e. N based on imaging unit for the imaging sensor that each imaging unit includes is set
Fixed, for imaging unit closer to the middle position of more mesh cameras, the numerical value of corresponding N is bigger, and imaging unit more deviates more mesh
The numerical value of the middle position of camera, corresponding N is smaller.
It is described based on more mesh numbers according to can also include in the car arrester control system of acquisition：
Threshold value more new equipment often receives the primary wide visual field for receiving each wide field-of-view image so that the time is sequence
Image updates predetermined customization vehicle gray threshold range, wherein customization using the recently received wide field-of-view image
The initial range of vehicle gray threshold range is pre-stored in the internal memory of threshold value more new equipment；
Content analysis apparatus for receiving newest wide field-of-view image, and analyzes the complexity of newest wide field-of-view image,
To select corresponding filtering algorithm based on the complexity of newest wide field-of-view image；
Filter processing apparatus is connect with Content analysis apparatus, for receiving newest wide field-of-view image and receiving selection
Filtering algorithm, and the filtering algorithm of selection is executed to newest wide field-of-view image, to obtain corresponding filtering image；
Vehicle contours extract equipment is connect with threshold value more new equipment, for each picture to newest wide field-of-view image
The pixel value of element determines whether to fall within the scope of customization vehicle gray threshold in the updated, if falling customization vehicle in the updated
Within the scope of gray threshold, then the pixel is determined as customizing vehicle pixel, if falling customization vehicle gray scale threshold in the updated
It is worth except range, then the pixel is determined as non-customized vehicle pixel, by all customization vehicle pictures of newest wide field-of-view image
Element composition customization vehicle subgraph；
Drive control apparatus is connect with vehicle contours extract equipment, for receiving customization vehicle subgraph, and based on customization
Vehicle subgraph determines the validity of customization vehicle subgraph in the area ratio of newest wide field-of-view image, when determining customized vehicle
When type subgraph is effective, control inverted U upright bar is switched to state of couching by erected state.
It is described based on more mesh numbers according in the car arrester control system of acquisition：
Camera mounting hole, boombox, LED display device, GPS positioning device are additionally provided in inverted U upright bar.
It is described based on more mesh numbers according in the car arrester control system of acquisition：
Drive control apparatus determines customized vehicle based on customization vehicle subgraph in the area ratio of newest wide field-of-view image
The validity of type subgraph includes：It is preset when customization vehicle subgraph is more than or equal in the area ratio of newest wide field-of-view image
When proportion threshold value, determine that customization vehicle subgraph is effective, otherwise, it determines customization vehicle subgraph is invalid.
Meanwhile according to embodiments of the present invention including according to the car arrester control method of acquisition based on more mesh numbers：
Using framework and the pedestal framework construction controlled main body of car arrester is erected, the standing framework includes supporting rack, inverted U
Upright bar and swingle, swingle are connect with inverted U upright bar, and erected state or state of couching are in for controlling inverted U upright bar, branch
Support is used to, at inverted U upright bar rear, play a supportive role to inverted U upright bar, inverted U upright bar is by erected state to state of couching
Handoff procedure in, face ground face forward fall down to be bonded ground, facilitate vehicle to pass through, the pedestal framework includes left side water
Mud groove body, right side cement groove body and chassis, left side cement groove body and right side cement groove body are all disposed in chassis, in inside
Cement is laid with to be reinforced, the left side limbers of covering woven wire, right side cement groove body are provided on the cement groove body of left side
On be provided with covering woven wire right side limbers.
Then, continue to the present invention based on more mesh numbers according to the car arrester control method of acquisition specific steps into advance one
The explanation of step.
It is described to include according to the car arrester control method of acquisition based on more mesh numbers：
It using more mesh cameras, is installed in camera mounting hole, including multiple imaging units, each imaging unit
For carrying out real time imagery operation to the scene in its areas imaging, each imaging unit includes Analysis signal-to-noise ratio (SNR) device, quality
Comparator and N number of imaging sensor, Analysis signal-to-noise ratio (SNR) device are connect with N number of imaging sensor respectively, for N number of imaging sensor
Image carry out Analysis signal-to-noise ratio (SNR), quality comparator is connect with Analysis signal-to-noise ratio (SNR) device, for receiving N number of imaging sensor
The signal-to-noise ratio of image, and select the highest image of signal-to-noise ratio as the output image of corresponding imaging unit；
Using area merges equipment, is connect with more mesh cameras, multiple output images for receiving multiple imaging units,
And detect with the presence or absence of overlapping between multiple output images, and exist be overlapped when, by Duplicate Removal Algorithm to multiple output images
It merges to obtain the wide field-of-view image after duplicate removal；
Wherein, data linkage is also carried out between N number of imaging sensor, to ensure the multiple defeated of N number of imaging sensor output
The average brightness for going out image is consistent, and ensures that the dynamic range of multiple output images of N number of imaging sensor output is consistent；
Wherein, positions of the quantity i.e. N based on imaging unit for the imaging sensor that each imaging unit includes is set
Fixed, for imaging unit closer to the middle position of more mesh cameras, the numerical value of corresponding N is bigger, and imaging unit more deviates more mesh
The numerical value of the middle position of camera, corresponding N is smaller.
It is described to include according to the car arrester control method of acquisition based on more mesh numbers：
Using threshold value more new equipment, for receiving each wide field-of-view image so that the time is sequence, often receive primary wide
Field-of-view image updates predetermined customization vehicle gray threshold range using the recently received wide field-of-view image, wherein
The initial range of customization vehicle gray threshold range is pre-stored in the internal memory of threshold value more new equipment；
Using Content analysis apparatus, for receiving newest wide field-of-view image, and answering for newest wide field-of-view image is analyzed
Miscellaneous degree, to select corresponding filtering algorithm based on the complexity of newest wide field-of-view image；
It using filter processing apparatus, is connect with Content analysis apparatus, for receiving newest wide field-of-view image and reception
The filtering algorithm of selection, and the filtering algorithm of selection is executed to newest wide field-of-view image, to obtain corresponding filtering image；
It using vehicle contours extract equipment, is connect with threshold value more new equipment, for each of newest wide field-of-view image
The pixel value of a pixel determines whether to fall within the scope of customization vehicle gray threshold in the updated, if falling customization in the updated
Within the scope of vehicle gray threshold, then the pixel is determined as customizing vehicle pixel, if falling customization vehicle ash in the updated
It spends except threshold range, then the pixel is determined as non-customized vehicle pixel, by all customized vehicles of newest wide field-of-view image
Type pixel forms customized vehicle type subgraph；
It using drive control apparatus, connect with vehicle contours extract equipment, for receiving customization vehicle subgraph, and is based on
The validity that vehicle subgraph determines customization vehicle subgraph in the area ratio of newest wide field-of-view image is customized, it is fixed when determining
When vehicle subgraph processed is effective, control inverted U upright bar is switched to state of couching by erected state.
It is described based on more mesh numbers according in the car arrester control method of acquisition：
Camera mounting hole, boombox, LED display device, GPS positioning device are additionally provided in inverted U upright bar.
It is described based on more mesh numbers according in the car arrester control method of acquisition：
Drive control apparatus determines customized vehicle based on customization vehicle subgraph in the area ratio of newest wide field-of-view image
The validity of type subgraph includes：It is preset when customization vehicle subgraph is more than or equal in the area ratio of newest wide field-of-view image
When proportion threshold value, determine that customization vehicle subgraph is effective, otherwise, it determines customization vehicle subgraph is invalid.
In addition, image filtering, i.e., press down the noise of target image under conditions of retaining image detail feature as possible
System, is indispensable operation in image preprocessing, and the quality for the treatment of effect will directly influence subsequent image processing and divide
The validity and reliability of analysis.
Not perfect due to imaging system, transmission medium and recording equipment etc., digital picture is in its formation, transmission log mistake
It is often polluted by a variety of noises in journey.In addition, certain links in image procossing when the picture object inputted and are not so good as pre-
Also noise can be introduced when thinking in result images.These noises often show as one and cause the isolated of stronger visual effect on the image
Pixel or block of pixels.Generally, noise signal it is uncorrelated to the object to be studied it occur with useless message form, upset figure
The observable information of picture.For data image signal, psophometer is either large or small extreme value, these extreme values are acted on by plus-minus
On the true gray value of image pixel, cause bright, dim spot to interfere image, greatly reduce picture quality, influence image restoration,
The progress of the subsequent work such as segmentation, feature extraction, image recognition.Construct it is a kind of it is effective inhibit noise filter must take into consideration
Two basic problems：The noise that can be effectively removed in target and background；Meanwhile can protect well image object shape,
Size and specific geometry and topological features.
In common image filtering pattern one is nonlinear filters, it is, in general, that when signal spectrum and noise frequency
When composing aliasing or such as the noise caused by mission nonlinear or there are non-gaussian to make an uproar when containing nonadditivity noise in signal
Sound etc.), traditional linear filter technology, if Fourier converts, while filtering out noise, always blurred picture is thin in some way
Section (such as edge) and then the extraction property reduction for leading to the positioning accuracy and feature as linear character.And nonlinear filter is
Based on a kind of Nonlinear Mapping relationship to input signal, often a certain specific noise approximatively can be mapped as zero and retained
Signal wants feature, thus it can overcome the shortcoming of linear filter to a certain extent.
It is using the present invention based on more mesh numbers according to the car arrester control system and method for acquisition, for holding up traffic in the prior art
The too simple technical problem of device structure receives customization vehicle subgraph, and based on customization vehicle by the way that car arrester structure is transformed
Subgraph determines the validity of customization vehicle subgraph in the area ratio of newest wide field-of-view image, and vehicle is customized when determining
When image is effective, control inverted U upright bar is switched to state of couching by erected state, to ensure to customize the orientation of vehicle vehicle
It parks.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, every content without departing from technical solution of the present invention is right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (4)
1. it is a kind of based on more mesh numbers according to the car arrester control method of acquisition, the method includes：Use standing framework and pony sill
Structure constructs the controlled main body of car arrester, and the standing framework includes supporting rack, inverted U upright bar and swingle, and swingle is vertical with inverted U
Bar connects, and is in erected state or state of couching for controlling inverted U upright bar, supporting rack is used at inverted U upright bar rear, to falling
U-shaped upright bar plays a supportive role, and inverted U upright bar faces ground face forward in the handoff procedure by erected state to state of couching
It falling down to be bonded ground, vehicle is facilitated to pass through, the pedestal framework includes left side cement groove body, right side cement groove body and chassis,
Left side cement groove body and right side cement groove body are all disposed in chassis, in laid inside cement to be reinforced, left side water
It is provided with the left side limbers of covering woven wire on mud groove body, the right side of covering woven wire is provided on the cement groove body of right side
Limbers；
It is characterized in that, further including：
It using more mesh cameras, is installed in camera mounting hole, including multiple imaging units, each imaging unit is used for
Real time imagery operation is carried out to the scene in its areas imaging, each imaging unit includes that Analysis signal-to-noise ratio (SNR) device, quality compare
Device and N number of imaging sensor, Analysis signal-to-noise ratio (SNR) device are connect with N number of imaging sensor respectively, for N number of imaging sensor at
As image progress Analysis signal-to-noise ratio (SNR), quality comparator is connect with Analysis signal-to-noise ratio (SNR) device, the imaging for receiving N number of imaging sensor
The signal-to-noise ratio of image, and select the highest image of signal-to-noise ratio as the output image of corresponding imaging unit；
Using area merges equipment, is connect with more mesh cameras, multiple output images for receiving multiple imaging units, and examine
It surveys between multiple output images with the presence or absence of overlapping, and when there is overlapping, multiple output images is carried out by Duplicate Removal Algorithm
Merge to obtain the wide field-of-view image after duplicate removal；
Wherein, data linkage is also carried out between N number of imaging sensor, to ensure multiple output figures of N number of imaging sensor output
The average brightness of picture is consistent, and ensures that the dynamic range of multiple output images of N number of imaging sensor output is consistent；
Wherein, position default settings of the quantity i.e. N for the imaging sensor that each imaging unit includes based on imaging unit, at
As unit is closer to the middle position of more mesh cameras, the numerical value of corresponding N is bigger, and imaging unit more deviates more mesh cameras
Middle position, the numerical value of corresponding N is smaller.
2. as described in claim 1 based on more mesh numbers according to the car arrester control method of acquisition, which is characterized in that further include：
Using threshold value more new equipment, for receiving each wide field-of-view image so that the time is sequence, the primary wide visual field is often received
Image updates predetermined customization vehicle gray threshold range, wherein customization using the recently received wide field-of-view image
The initial range of vehicle gray threshold range is pre-stored in the internal memory of threshold value more new equipment；
Using Content analysis apparatus, for receiving newest wide field-of-view image, and the complexity of newest wide field-of-view image is analyzed,
To select corresponding filtering algorithm based on the complexity of newest wide field-of-view image；
It using filter processing apparatus, is connect with Content analysis apparatus, for receiving newest wide field-of-view image and receiving selection
Filtering algorithm, and the filtering algorithm of selection is executed to newest wide field-of-view image, to obtain corresponding filtering image；
It using vehicle contours extract equipment, is connect with threshold value more new equipment, for each picture to newest wide field-of-view image
The pixel value of element determines whether to fall within the scope of customization vehicle gray threshold in the updated, if falling customization vehicle in the updated
Within the scope of gray threshold, then the pixel is determined as customizing vehicle pixel, if falling customization vehicle gray scale threshold in the updated
It is worth except range, then the pixel is determined as non-customized vehicle pixel, by all customization vehicle pictures of newest wide field-of-view image
Element composition customization vehicle subgraph；
It using drive control apparatus, is connect with vehicle contours extract equipment, for receiving customization vehicle subgraph, and based on customization
Vehicle subgraph determines the validity of customization vehicle subgraph in the area ratio of newest wide field-of-view image, when determining customized vehicle
When type subgraph is effective, control inverted U upright bar is switched to state of couching by erected state.
3. as claimed in claim 2 based on more mesh numbers according to the car arrester control method of acquisition, it is characterised in that：
Camera mounting hole, boombox, LED display device, GPS positioning device are additionally provided in inverted U upright bar.
4. as claimed in claim 3 based on more mesh numbers according to the car arrester control method of acquisition, it is characterised in that：
Drive control apparatus determines customization vehicle based on customization vehicle subgraph in the area ratio of newest wide field-of-view image
The validity of image includes：When customization vehicle subgraph is more than or equal to preset ratio in the area ratio of newest wide field-of-view image
When threshold value, determine that customization vehicle subgraph is effective, otherwise, it determines customization vehicle subgraph is invalid.
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| CN201711366079.XA CN108103999B (en) | 2017-09-15 | 2017-09-15 | Based on more mesh numbers according to the car arrester control system of acquisition |
| CN201710831250.3A CN107587455B (en) | 2017-09-15 | 2017-09-15 | Based on more mesh numbers according to the car arrester control method of acquisition |
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| CN201710831250.3A CN107587455B (en) | 2017-09-15 | 2017-09-15 | Based on more mesh numbers according to the car arrester control method of acquisition |
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| CN109730870A (en) * | 2019-01-08 | 2019-05-10 | 乔保华 | Medical instrument signal resolution platform |
| CN111245884B (en) * | 2019-03-21 | 2020-12-01 | 青田县武莲科技有限公司 | Multifunctional network control method |
| CN110381287A (en) * | 2019-03-21 | 2019-10-25 | 泰州市朗嘉尚网络科技有限公司 | Multifunctional network control platform |
| CN112906422A (en) * | 2019-11-15 | 2021-06-04 | 孙兴珍 | Real-time status data identification system |
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| CN204357179U (en) * | 2014-12-13 | 2015-05-27 | 唐海航 | A kind of intelligent space lock |
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Also Published As
| Publication number | Publication date |
|---|---|
| CN107587455A (en) | 2018-01-16 |
| CN108103999B (en) | 2018-08-24 |
| CN108103999A (en) | 2018-06-01 |
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