CN109606880A - Labeling situation detection method, device and labeling control system based on image recognition - Google Patents
Labeling situation detection method, device and labeling control system based on image recognition Download PDFInfo
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- CN109606880A CN109606880A CN201811534288.5A CN201811534288A CN109606880A CN 109606880 A CN109606880 A CN 109606880A CN 201811534288 A CN201811534288 A CN 201811534288A CN 109606880 A CN109606880 A CN 109606880A
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- 238000002372 labelling Methods 0.000 title claims abstract description 232
- 238000001514 detection method Methods 0.000 title claims abstract description 35
- 239000004744 fabric Substances 0.000 claims abstract description 265
- 239000000126 substance Substances 0.000 claims description 41
- 238000004590 computer program Methods 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 6
- 230000008901 benefit Effects 0.000 claims description 5
- 230000005540 biological transmission Effects 0.000 claims description 4
- 238000000034 method Methods 0.000 abstract description 20
- 238000007689 inspection Methods 0.000 abstract description 6
- 238000004519 manufacturing process Methods 0.000 abstract description 6
- 239000000463 material Substances 0.000 description 7
- 230000006399 behavior Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
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- 238000003860 storage Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65C—LABELLING OR TAGGING MACHINES, APPARATUS, OR PROCESSES
- B65C5/00—Labelling fabrics or comparable materials or articles with deformable surface, e.g. paper, fabric rolls, stockings, shoes
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65C—LABELLING OR TAGGING MACHINES, APPARATUS, OR PROCESSES
- B65C9/00—Details of labelling machines or apparatus
- B65C9/40—Controls; Safety devices
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Abstract
The invention discloses a kind of labeling situation detection method, device, equipment and the labeling control system based on image recognition based on image recognition, this method comprises: obtaining the fabric image that image capture device is sent；Fabric image is analyzed, the label information of the fabric in fabric image is obtained；Label information and default row's layout information are compared, determine the labeling situation of the fabric in fabric image；When labelling situation is not to label correct, control labeling machine equipment carries out the fabric in fabric image to mend mark operation；The present invention can use image processing techniques and automatically analyze to the image for the fabric that the labeling that image capture device acquires is completed, and determine the labeling situation of fabric；It automatically controls labeling machine equipment and label is subsidized to the fabric of labeling mistake, reduce the process of manual inspection and operation, the efficiency and accuracy for improving the detection processing of the labeling situation of fabric improve user experience so that subsequent production is more efficient.
Description
Technical field
The present invention relates to labeling machine equipment field, in particular to a kind of labeling situation detection method based on image recognition,
Device, equipment and the labeling control system based on image recognition.
Background technique
In the use process of labeling machine equipment, often there is label not label jail or adhere to the situation hair in other places
The problem of giving birth to, causing the label missing occurred on fabric, this causes serious influence to subsequent go-no-go cut-parts.
In the prior art, the detection for the labeling situation on fabric and the benefit mark after going wrong (subsidy label) behaviour
Make, generally require to manually check and operate, so that the efficiency and accuracy of detection processing is not high, subsequent production process is caused
Not small influence.Therefore, the benefit mark operation after how making the detection for labelling situation and going wrong is more intelligent, reduces people
Work inspection and operation improve the efficiency and accuracy of detection processing, so that subsequent production is more efficient, improve user experience, are existing
Modern urgent problem.
Summary of the invention
It the labeling situation detection method that the object of the present invention is to provide a kind of based on image recognition, device, equipment and is based on
The labeling control system of image recognition to be detected automatically using labeling situation of the image procossing to fabric, and is being asked
It carries out mending mark operation automatically after topic, improves the efficiency and accuracy of detection processing.
In order to solve the above technical problems, the present invention provides a kind of labeling situation detection method based on image recognition, comprising:
Obtain the fabric image that image capture device is sent；
The fabric image is analyzed, the label information of the fabric in the fabric image is obtained；Wherein, the mark
Signing information includes label position information and/or label substance information；
The label information and default row's layout information are compared, determine the labeling of the fabric in the fabric image
Situation；
When the labeling situation is not to label correct, control labeling machine equipment carries out the fabric in the fabric image
Mend mark operation.
Optionally, it is described by the label information and default row when the label information includes the label position information
Layout information compares, and determines the labeling situation, comprising:
According to the default label position information in the label position information and default row's layout information, described in judgement
The whether existing whole of fabric in fabric image presets label and the labeling position of each default label is correct；
If so, determining that the labeling of the fabric in the fabric image is correct；
If not, it is determined that the labeling mistake of the fabric in the fabric image.
Optionally, when the label information further includes the label substance information, in the determination fabric image
Before the labeling of fabric is correct, further includes:
According to the default label substance information in the label substance information and default row's layout information, described in judgement
Whether there are the contents of each label in fabric identical as the content of corresponding default label；
If so, the step that the labeling for executing the determination fabric is correct；
If not, it is determined that the labeling mistake of the fabric.
Optionally, described when the labeling situation is not to label correct, labeling machine equipment is controlled to the fabric image
In fabric carry out mend mark operation, comprising:
If the labeling situation is labeling positional fault or labeling quantity mistake, according to the label position information and institute
Default label position information is stated, controlling the labeling machine equipment, there is no mend on the default labeling position of label on the fabric
It labels corresponding；
If the labeling situation is labeling content mistake, according to the label position information, the default label position
Information and the default label substance information control the labeling machine equipment on the fabric in label substance and default label
Hold the label that corresponding default label substance is subsidized on different default labeling positions.
The labeling situation detection device based on image recognition that the present invention also provides a kind of, comprising:
Module is obtained, for obtaining the fabric image of image capture device transmission；
Analysis module obtains the label letter of the fabric in the fabric image for analyzing the fabric image
Breath；Wherein, the label information includes label position information and/or label substance information；
Determining module determines the fabric image for comparing the label information and default row's layout information
In fabric labeling situation；
Control module, for when the labeling situation is not to label correct, controlling labeling machine equipment to the fabric figure
Fabric as in carries out mending mark operation.
The present invention also provides a kind of labeling situation detection device based on image recognition, comprising:
Memory, for storing computer program；
Processor realizes the patch as described in any one of the above embodiments based on image recognition when for executing the computer program
The step of marking situation detection method.
The labeling control system based on image recognition that the present invention also provides a kind of, comprising:
Image capture device, for acquiring fabric image；
The processor being connect with described image acquisition equipment, for obtaining the fabric image；To the fabric image into
Row analysis, obtains the label information of the fabric in the fabric image；Wherein, the label information includes label position information
And/or label substance information；The label information and default row's layout information are compared, determined in the fabric image
The labeling situation of fabric；When the labeling situation is not to label correct, labeling machine equipment is controlled in the fabric image
Fabric carries out mending mark operation；
The labeling machine equipment being connected to the processor, for the control according to the processor, in the labeling
Situation is not to carry out mending mark operation to the fabric when labelling correct.
Optionally, the processor is specially the processor in the labeling machine equipment.
Optionally, the processor is specially the processor controlled in computer.
Optionally, the top of the labeling machine equipment is arranged in described image acquisition equipment, for acquiring the labelling machine
Image in the fabric plane of equipment labeling.
A kind of labeling situation detection method based on image recognition provided by the present invention, comprising: obtain Image Acquisition and set
The fabric image that preparation is sent；Fabric image is analyzed, the label information of the fabric in fabric image is obtained；Wherein, label
Information includes label position information and/or label substance information；Label information and default row's layout information are compared, determined
The labeling situation of fabric in fabric image；When labelling situation is not to label correct, labeling machine equipment is controlled to fabric image
In fabric carry out mend mark operation；
As it can be seen that the present invention determines the face in fabric image by comparing label information and default row's layout information
The labeling situation of material can use image processing techniques and carry out to the image for the fabric that the labeling that image capture device acquires is completed
It automatically analyzes, determines the labeling situation of fabric；By when labelling situation is not to label correct, controlling labeling machine equipment to fabric
Fabric in image carries out mending mark operation, can automatically control labeling machine equipment and subsidize label to the fabric of labeling mistake, reduce
The process of manual inspection and operation, improves the efficiency and accuracy of the detection processing of the labeling situation of fabric, so that subsequent
It produces more efficient, improves user experience.In addition, the present invention also provides a kind of, the labeling situation based on image recognition detects dress
It sets, equipment and the labeling control system based on image recognition, equally there is above-mentioned beneficial effect.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of flow chart of the labeling situation detection method based on image recognition provided by the embodiment of the present invention；
Fig. 2 is a kind of structure chart of the labeling situation detection device based on image recognition provided by the embodiment of the present invention；
Fig. 3 is a kind of structure chart of the labeling control system based on image recognition provided by the embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Referring to FIG. 1, Fig. 1 is a kind of labeling situation detection method based on image recognition provided by the embodiment of the present invention
Flow chart.This method may include:
Step 101: obtaining the fabric image that image capture device is sent.
Wherein, the fabric image in this step can be include that labeling machine equipment has labeled all or part of fabric portions
Point image, the image capture device above labeling machine equipment is such as set, can be in labeling machine equipment by acquired image model
Image after the completion of fabric in enclosing all labels, in the fabric plane of shooting labeling machine equipment labeling.
Specifically, for the particular content of fabric image, i.e. the specific setting position of image capture device and style of shooting,
It can be spaced at preset timed intervals by designer according to practical scene and user demand self-setting, such as image capture device
Shoot fabric image, can also after the completion of labeling machine equipment labeling all or part of to the fabric in acquire image range,
Fabric image is shot according to the shooting instruction that processor is sent.As long as what the available image capture device of processor was sent includes
The image of labeled fabric, the present embodiment do not do any restrictions to this.
Step 102: fabric image being analyzed, the label information of the fabric in fabric image is obtained；Wherein, label is believed
Breath includes label position information and/or label substance information.
Wherein, the purpose of this step can be to be divided using image procossing the fabric image that image capture device is sent
Analysis, to obtain the label information of the fabric in fabric image.Specifically, for the particular content of label information in this step,
It such as can may include location information by designer according to practical scene and user demand self-setting, i.e., processor utilizes
Image procossing can analyze out the coordinate of all labels of the fabric in fabric image；It also may include label substance information, such as
Processor can analyze out two dimensional code or bar code correspondence on all labels of the fabric in fabric image using image procossing
Content.The present embodiment is not intended to be limited in any this.
It is understood that analyzing for processor in this step fabric image, the face in fabric image is obtained
The concrete mode of the label information of material can such as be adopted by designer according to practical scene and user demand self-setting
Realize that the present embodiment does not do any restrictions to this with the same or similar mode of existing image processing techniques.
Step 103: label information and default row's layout information being compared, determine the labeling of the fabric in fabric image
Situation.
It is understood that image procossing can be obtained the fabric in fabric image for processor by the purpose of this step
Label information is compared with default row's layout information, the labeling situation of the fabric in fabric image is determined, to realize fabric
Label the automatic detection of situation.
Specifically, the particular content and acquisition modes for default row's layout information in this step can be by designers
According to practical scene and user demand self-setting, preset as processor can be read from the storage pre-stored file of equipment
Arrange layout information, default row's layout information may include each default label of fabric location information (such as coordinate) and/or
Content information (such as the two dimensional code or the corresponding content of two dimensional code in default label), the present embodiment does not do any restrictions to this.
It should be noted that label information and default row's layout information are compared for processor in this step, really
Determine the concrete mode of the labeling situation of the fabric in fabric image, can only be wrapped by designer's self-setting, such as label information
When including label position information, can detecte on fabric whether label (default label) and each label needed for existing whole paste pair
Position, i.e. this step can judge face according to the default label position information in label position information and default row's layout information
Expect that the whether existing whole of fabric in image presets label and the labeling position of each default label is correct, if so, determining
The labeling of fabric in fabric image is correct, if not, it is determined that the labeling mistake of the fabric in fabric image；Label information only wraps
When including label substance information, whether the content information (such as cut-parts information) that can detecte on label is accurate, i.e., this step can root
According to the default label substance information in label substance information and default row's layout information, judge that there are the interior of each label in fabric
Whether appearance is identical as the content of corresponding default label, if so, determining that the labeling of fabric is correct, if not, it is determined that fabric
Label mistake；When label information includes label position information and label substance information, it can detecte whether existing whole on fabric
Whether required label and each label paste to position, while whether the cut-parts information in calibration label is accurate, i.e., this step can root
According to label position information, label substance information and the default default label position information arranged in layout information and default label substance
Information successively judges that the whether existing whole of fabric in fabric image is presetting label and each labeling position for presetting label just
Whether really and in fabric there are the contents of each label identical as the content of corresponding default label, if the face in fabric image
Expect that existing whole presets label and each correctly and in fabric there are the content of each label is equal for the labeling position of default label
It is identical as the content of corresponding default label, it is determined that the labeling of fabric is correct, on the contrary, it is determined that the labeling mistake of fabric.Only
It wants processor that can compare label information and default row's layout information, determines the labeling feelings of the fabric in fabric image
Any restrictions are not done in condition, this implementation to this.
It is corresponding, it is above-mentioned to judge that the whether existing whole of the fabric in fabric image presets label and each presets label
During labeling position is correct, determine whether the labeling position that label is each preset in fabric is correct, it can be for first according to face
Material image determines the label position information of the fabric in fabric image, such as determines the coordinate for the central point labelled in fabric,
Determine each label position information with the default label position information in corresponding default row's layout information whether in default model again
In enclosing, whether the coordinate of such as determining central point each labelled is with the center point coordinate of corresponding default label in default model
In enclosing, so that it is determined that whether each preset the corresponding labeling position labelled of label in fabric correct.What if this had been labelled
The coordinate of central point and the center point coordinate of corresponding default label within a preset range, then illustrate (the pre- bidding of having labelled
Label) labeling position.
Specifically, the specific setting of the labeling situation for determining the fabric in fabric image in this step, it can be by setting
Meter personnel's self-setting can only include labeling correctly and label wrong two kinds of labeling situations, can also be by labeling mistake subdivision
There is no all pre- biddings for labeling positional fault, labeling quantity mistake and labeling content mistake, such as fabric in fabric image
When label, it can be confirmed that the labeling quantity mistake of fabric, i.e., the number of labels that the fabric in fabric image is labeled are less than required
The case where (default label) quantity, there are there is no label informations in the corresponding fabric image of default label position information, fabric
On label there is missing or fall；It, can when fabric in fabric image has a labeling position correctly incorrect volume presets label
To confirm the labeling positional fault of fabric, i.e. the label position that is labeled of fabric in fabric image and corresponding default position
It sets and does not correspond to, the wrong situation of the label appearance position patch on fabric；It is equal to there is labelled content in the fabric in fabric image
With the content of corresponding default label it is not identical when, can be confirmed the labeling content mistake of fabric, i.e., in default label position
The content labelled it is different from corresponding default label substance, occur the case where labeing mistake on fabric.The present embodiment pair
This does not do any restrictions.
It is corresponding, it can also include: the step of utilization display equipment shows the labeling situation of fabric after this step, so that
User can understand the labeling situation of fabric in time.
Step 104: when labelling situation is not to label correct, control labeling machine equipment carries out the fabric in fabric image
Mend mark operation.
Wherein, it in the labeling situation for detecting the fabric in fabric image is not patch that the purpose of this step, which can be processor,
When marking correct, control labeling machine equipment carries out the fabric in fabric image to mend mark operation, is carried out with the fabric to labeling mistake
Automatic subsidy label, i.e., when there is mistake in the label of the fabric in fabric image, (the pre- bidding of label needed for subsidizing correctly
Label).
It is understood that for, when labelling situation is not to label correct, controlling labeling machine equipment opposite in this step
Fabric in material image mend the concrete mode of mark operation, can such as be existed in fabric by designer's self-setting
When labelling positional fault or labeling quantity mistake, corresponding label (default label) is subsidized in corresponding default label position, i.e.,
This step can control labeling machine equipment and label is not present on fabric according to label position information and default label position information
Default labeling position on subsidize corresponding label, that is, when fabric labels positional fault, subsidy mark in correct position
Label, and when fabric labels quantity mistake, label is subsidized in the position for lacking label；There can also be labeling situation in fabric
When to label content mistake, the label of default label substance is covered in the position where the label different from default label substance
(default label), i.e. this step can be according to label position information, default label position information and default label substance information, controls
It is subsidized on labeling machine equipment processed label substance on fabric default labeling position different from default label substance corresponding default
The label of label substance, that is, when fabric labels content mistake, paste corresponding label again, be covered on original label.This
Embodiment does not do any restrictions to this.
Corresponding, when fabric has labeling positional fault, processor can also be shown to user using display device and be pasted
Cursor position mistake, to prompt user to clearing up for wrong position is labeled, avoid labeing wrong position to subsequent fabric
Go-no-go cut-parts impact,
It should be noted that when method provided in the present embodiment can execute corresponding computer program for processor
The method of realization.For the specific setting position of processor, it can be can be set and be calculated in control by designer's self-setting
In machine, i.e., control computer can carry out mending mark behaviour according to the fabric image of image capture device transmission, control labeling machine equipment
Make；Also it can be set in labeling machine equipment, i.e., labeling machine equipment can be according to image that is itself setting or connecting with itself
The fabric image that equipment is sent is acquired, realizes the benefit mark operation of itself.The present embodiment does not do any restrictions to this.
In the present embodiment, the embodiment of the present invention determines face by comparing label information and default row's layout information
The labeling situation for expecting the fabric in image can use the face that image processing techniques completes the labeling that image capture device acquires
The image of material is automatically analyzed, and determines the labeling situation of fabric；By the way that when labelling situation is not to label correct, control is labelled
Machine equipment carries out the fabric in fabric image to mend mark operation, can automatically control labeling machine equipment and mend to the fabric of labeling mistake
Labelling, reduce the process of manual inspection and operation, improve the detection processing of the labeling situation of fabric efficiency and accurately
Property, so that subsequent production is more efficient, improve user experience.
Referring to FIG. 2, Fig. 2 is a kind of labeling situation detection device based on image recognition provided by the embodiment of the present invention
Structure chart.The apparatus may include:
Module 100 is obtained, for obtaining the fabric image of image capture device transmission；
Analysis module 200 obtains the label information of the fabric in fabric image for analyzing fabric image；Its
In, label information includes label position information and/or label substance information；
Determining module 300 determines the face in fabric image for comparing label information and default row's layout information
The labeling situation of material；
Control module 400, for when labelling situation is not to label correct, controlling labeling machine equipment in fabric image
Fabric carries out mending mark operation.
Optionally, determining module 300 may include:
Judging submodule, for according to the default label position information in label position information and default row's layout information,
Judge that the whether existing whole of fabric in fabric image presets label and the labeling position of each default label is correct；If so,
Then determine that submodule sends enabling signal to first；If it is not, then determining that submodule sends enabling signal to second；
First determines submodule, and for receiving enabling signal, and the labeling of the fabric in determining fabric image is correct；
Second determines submodule, for receiving enabling signal, and determines the labeling mistake of the fabric in fabric image.
Optionally, it first determines submodule, may include:
Judging unit, for sentencing according to the default label position information in label position information and default row's layout information
The whether existing whole of fabric in section material image presets label and the labeling position of each default label is correct；If so,
Enabling signal is sent to determination unit；If it is not, then determining that submodule sends enabling signal to second；
Determination unit, for receiving enabling signal, and the labeling of the fabric in determining fabric image is correct.
Optionally, control module 400 may include:
First control submodule, if being labeling positional fault or labeling quantity mistake for labelling situation, according to label
Location information and default label position information, controlling labeling machine equipment, there is no mend on the default labeling position of label on fabric
It labels corresponding；
Second control submodule, if being labeling content mistake for labelling situation, according to label position information, pre- bidding
Location information and default label substance information are signed, control labeling machine equipment label substance on fabric is different from default label substance
Default labeling position on subsidize the label of corresponding default label substance.
In the present embodiment, the embodiment of the present invention is carried out label information and default row's layout information by determining module 300
Comparison, determines the labeling situation of the fabric in fabric image, can use what image processing techniques acquired image capture device
The image for labelling the fabric completed is automatically analyzed, and determines the labeling situation of fabric；By control module 400 in labeling situation
When not to label correct, control labeling machine equipment carries out the fabric in fabric image to mend mark operation, can automatically control labeling
Machine equipment subsidizes label to the fabric of labeling mistake, reduces the process of manual inspection and operation, improves the labeling feelings of fabric
The efficiency and accuracy of the detection processing of condition improve user experience so that subsequent production is more efficient.
The embodiment of the invention also provides a kind of labeling situation detection device based on image recognition, comprising: memory is used
In storage computer program；Processor is realized when for executing computer program and is based on image as provided by above-described embodiment
The step of labeling situation detection method of identification.
Referring to FIG. 3, Fig. 3 is a kind of knot of the labeling control system based on image recognition provided by the embodiment of the present invention
Composition.The system may include:
Image capture device 10, for acquiring fabric image；
The processor 20 being connect with image capture device 10, for obtaining fabric image；Fabric image is analyzed, is obtained
Take the label information of the fabric in fabric image；Wherein, label information includes label position information and/or label substance information；
Label information and default row's layout information are compared, determine the labeling situation of the fabric in fabric image；In labeling situation
When not to label correct, control labeling machine equipment 30 carries out the fabric in fabric image to mend mark operation；
The labeling machine equipment 30 connecting with processor 20 is not patch in labeling situation for the control according to processor 20
Fabric is carried out when marking correct to mend mark operation.
Optionally, processor 20 can be specially the processor in labeling machine equipment 30.
Optionally, processor 20 can be specially the processor in control computer.
Optionally, the top of labeling machine equipment is arranged in image capture device 10, for acquiring labeling machine equipment labeling
Image in fabric plane.
In the present embodiment, the embodiment of the present invention is carried out label information and default row's layout information pair by processor 20
Than determining the labeling situation of the fabric in fabric image, can use what image processing techniques acquired image capture device 10
The image for labelling the fabric completed is automatically analyzed, and determines the labeling situation of fabric；Situation is being labelled not by processor 20
When to label correct, control labeling machine equipment 30 carries out the fabric in fabric image to mend mark operation, can automatically control labeling
The fabric of 30 pairs of machine equipment labeling mistakes subsidizes label, reduces the process of manual inspection and operation, improves the labeling of fabric
The efficiency and accuracy of the detection processing of situation improve user experience so that subsequent production is more efficient.
Each embodiment is described in a progressive manner in specification, the highlights of each of the examples are with other realities
The difference of example is applied, the same or similar parts in each embodiment may refer to each other.For device disclosed in embodiment, set
For standby and system, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is referring to side
Method part explanation.
Above to a kind of labeling situation detection method, device, equipment and base based on image recognition provided by the present invention
It is described in detail in the labeling control system of image recognition.Specific case used herein is to the principle of the present invention and reality
The mode of applying is expounded, and the above description of the embodiment is only used to help understand the method for the present invention and its core ideas.It answers
It, for those skilled in the art, without departing from the principle of the present invention, can also be to this when pointing out
Some improvement and modification can also be carried out for invention, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.
Claims (10)
1. a kind of labeling situation detection method based on image recognition characterized by comprising
Obtain the fabric image that image capture device is sent；
The fabric image is analyzed, the label information of the fabric in the fabric image is obtained；Wherein, the label letter
Breath includes label position information and/or label substance information；
The label information and default row's layout information are compared, determine the labeling feelings of the fabric in the fabric image
Condition；
When the labeling situation is not to label correct, control labeling machine equipment carries out benefit mark to the fabric in the fabric image
Operation.
2. the labeling situation detection method according to claim 1 based on image recognition, which is characterized in that the label letter
It is described to compare the label information with default row's layout information when breath includes the label position information, it is determining described in
Label situation, comprising:
According to the default label position information in the label position information and default row's layout information, the fabric is judged
The whether existing whole of fabric in image presets label and the labeling position of each default label is correct；
If so, determining that the labeling of the fabric in the fabric image is correct；
If not, it is determined that the labeling mistake of the fabric in the fabric image.
3. the labeling situation detection method according to claim 2 based on image recognition, which is characterized in that the label letter
When breath further includes the label substance information, before the labeling of the fabric in the determination fabric image is correct, further includes:
According to the default label substance information in the label substance information and default row's layout information, the fabric is judged
It is middle that whether there are the contents of each label identical as the content of corresponding default label；
If so, the step that the labeling for executing the determination fabric is correct；
If not, it is determined that the labeling mistake of the fabric.
4. the labeling situation detection method according to claim 1 based on image recognition, which is characterized in that described described
Labeling situation is not when labelling correct, and control labeling machine equipment carries out the fabric in the fabric image to mend mark operation, comprising:
If the labeling situation is labeling positional fault or labeling quantity mistake, according to the label position information and described pre-
Bidding label location information, controlling the labeling machine equipment, there is no subsidies pair on the default labeling position of label on the fabric
The label answered；
If the labeling situation is labeling content mistake, according to the label position information, the default label position information
With the default label substance information, controlling the labeling machine equipment, label substance and default label substance be not on the fabric
The label of corresponding default label substance is subsidized on same default labeling position.
5. a kind of labeling situation detection device based on image recognition characterized by comprising
Module is obtained, for obtaining the fabric image of image capture device transmission；
Analysis module obtains the label information of the fabric in the fabric image for analyzing the fabric image；Its
In, the label information includes label position information and/or label substance information；
Determining module determines in the fabric image for comparing the label information and default row's layout information
The labeling situation of fabric；
Control module, for when the labeling situation is not to label correct, controlling labeling machine equipment in the fabric image
Fabric carry out mend mark operation.
6. a kind of labeling situation detection device based on image recognition characterized by comprising
Memory, for storing computer program；
Processor is realized when for executing the computer program and is based on image recognition as Claims 1-4 is described in any item
Labeling situation detection method the step of.
7. a kind of labeling control system based on image recognition characterized by comprising
Image capture device, for acquiring fabric image；
The processor being connect with described image acquisition equipment, for obtaining the fabric image；The fabric image is divided
Analysis, obtains the label information of the fabric in the fabric image；Wherein, the label information include label position information and/or
Label substance information；The label information and default row's layout information are compared, determine the fabric in the fabric image
Labeling situation；When the labeling situation is not to label correct, labeling machine equipment is controlled to the fabric in the fabric image
It carries out mending mark operation；
The labeling machine equipment being connected to the processor, for the control according to the processor, in the labeling situation
The fabric is carried out when not to label correct to mend mark operation.
8. the labeling control system according to claim 7 based on image recognition, which is characterized in that the processing implement body
For the processor in the labeling machine equipment.
9. the labeling control system according to claim 7 based on image recognition, which is characterized in that the processing implement body
For the processor in control computer.
10. the labeling control system according to claim 7 based on image recognition, which is characterized in that described image acquisition
The top of the labeling machine equipment is arranged in equipment, the image in fabric plane for acquiring the labeling machine equipment labeling.
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