CN208023291U - A kind of perching machine detecting device of clothes processing - Google Patents
A kind of perching machine detecting device of clothes processing Download PDFInfo
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- CN208023291U CN208023291U CN201820345045.6U CN201820345045U CN208023291U CN 208023291 U CN208023291 U CN 208023291U CN 201820345045 U CN201820345045 U CN 201820345045U CN 208023291 U CN208023291 U CN 208023291U
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Abstract
A kind of perching machine detecting device of clothes processing, hardware subsystem, exploitation sheet processor and host are obtained including video image, it includes motor, ccd sensor, CCD controllers, incremental encoder and frame imaging sensor that the video image, which obtains hardware subsystem,；Workbench and lamp are additionally provided in the detection device, the motor M1 and motor M2 are arranged side by side in the lower section of workbench, and the both sides of the workbench are provided with trundle, and the upper end of the trundle and the upper surface of workbench are in same level；Using the device machine vision and image processing techniques can be applied to textile defect detection and classification work in, using automatic fabric defects detection system have many advantages, such as Detection accuracy height, it is objective it is reproducible, speed is fast.
Description
Technical field
The utility model is related to clothes to process field, the perching machine testing dress of especially a kind of clothes processing
It sets.
Background technology
Cloth inspecting machine, which is that apparel industry production is preceding, carries out the especially big breadth such as cotton, hair, fiber crops, silk, chemical fibre, double width and single width cloth
The special equipment of a set of indispensability of detection.Cloth inspecting machine is automatically performed note length and package housekeeping, and defect device is examined with electronics, by
Computer statistics are analyzed, and are assisted perching to operate and are printed out, and are detected the important link as control of product quality, are being weaved
It is occupied an important position in product production process, wherein defect detection is its crucial part.However, the color and style of fabric is various
Change, keep fabric defects type various, and new fault continues to bring out, this is all that defect detection brings difficulty, currently, external spin
Knitting the common commercial automatic Cloth Inspecting System of industry has 2 kinds of on-line checking and offline inspection, but its detection function is relatively simple, really suitable
For actual production and by market acceptance and few, thus need to design it is a kind of can detect fault automatically, reduce hand labor
Perching machine detecting device.
The utility model be exactly in order to solve problem above and carry out improvement.
Utility model content
The purpose of this utility model is to provide a kind of can detect fabric defects, have Detection accuracy high, objective heavy automatically
Renaturation is good, a kind of fireballing perching machine detecting device of clothes processing.
The utility model is technical solution used by solving its technical problem：
A kind of perching machine detecting device of clothes processing, including video image obtain hardware subsystem, development board
Processor and host, it includes motor, CCD sensors, CCD controllers, increment volume that the video image, which obtains hardware subsystem,
Code device and frame imaging sensor；
The motor includes motor M1, motor M2；
Workbench and lamp are additionally provided in the detection device, the motor M1 and motor M2 are arranged side by side in workbench
The both sides of lower section, the workbench are provided with trundle, and the upper end of the trundle and the upper surface of workbench are in same level
On；
Driving wheel is provided with below the trundle, the driving wheel is between motor and workbench；
The motor is connected by belt with driving wheel；
It is provided with ccd sensor above the workbench, which is connected with CCD controllers；
Lamp is provided between the ccd sensor and workbench, the lamp position is above the side of workbench；
Incremental encoder and frame imaging sensor are provided with above the side of the motor M1, the incremental encoder, which is located at, to be passed
Above the side of driving wheel, frame imaging sensor is located at driving wheel side-lower, and the frame imaging sensor is located at driving wheel and motor M1
Between；
The CCD controllers, incremental encoder and frame imaging sensor are connected with exploitation sheet processor, the development board
Processor is connected with host；
Further, the driving wheel radius above the sides motor M1 is more than the transmission being located above the sides motor M2
Wheel；
Further, the exploitation sheet processor include scanning processor, digital signal processor, synchronizer trigger and
Motor driver；
The ccd sensor is controlled by CCD controllers to be believed with the fabric in scanning motion with obtaining gray scale or coloured image
Number, and this signal is passed into scanning processor, then handled by digital signal processor；
The synchronizer trigger obtains the electric signal of incremental encoder, and the signal that this signal and scanning processor are scanned
It synchronizes；
The picture signal that the frame imaging sensor obtains passes to motor driver, and motor driver can same time control
Motor M1 and motor M2 processed；
Specifically, the scanning processor, digital signal processor, synchronizer trigger and motor driver can be distinguished
Signal transmission is carried out with host；
Wherein, the frequency of the lamp provides sufficient illumination intensity in 40~50kHz ranges, in order to avoid flicker；
The detection of fabric includes incandescence object and yarn dyed fabric；
A. grey cloth is weaved using warp, the weft threads of white, and there is no decorative patterns and intact fabric to mismatch due to color
Yarn mistake and cause pattern, fault, therefore, it is possible to which this kind of grey cloth image is converted to gray level image, then carry out fault
Detection process；
B. yarn dyed fabric defect detection algorithm performs flow is as follows：
The acquisition of yarn dyed fabric image (flawless reference picture and image to be detected)；
Coloured fabrics texture image enhancing is carried out with fractional order differential mask；
Yarn dyed fabric image from rgb color model conversion to Lab colour models, and 2 Color Channels are combined into 1 again
Number Color Channel；
Log-gabor filtering is carried out to color channel image and gray channel image, calculates color characteristic energy spectrum image
With gray feature energy spectrum image, the energy feature image of yarn dyed fabric is obtained after fusion；
Training stage calculates the flawless reference picture of yarn dyed fabric and the feature vector of the flawless segmentation pane of each of which, obtains
The possibility predication threshold value of flawless window；
Detection-phase calculates the feature vector of each of yarn dyed fabric energy feature image to be detected segmentation pane to be detected,
The estimated value for finding out each pane, by with threshold value comparison, detect the defect regions of yarn dyed fabric.
For the fault having been detected by, geometric properties that fault classification and identification algorithm exports assemblage characteristic extractor and
Fault classification results, are then respectively fed to display, network and control by input parameter of the texture feature vector as grader
Interface.
Operation principle is：The image procossing of yarn-dyed fabric belongs to color digital image process range, and the fault of yarn dyed fabric is automatic
Detection algorithm basis is exactly colour model, color quantization and color separation technology, and RGB color model is three-dimensional rectangular coordinate color system
In a unit cube.CIE color model includes a series of color model, these color model are by international lighting committee member
It can propose, be reaction of the eyes based on people to RGB, be used for reception of the Precise Representation to color.
The beneficial effects of the utility model are：Machine vision and image processing techniques can be applied to by spinning using the device
In fabric defect detection and classification work, there is Detection accuracy height, objective repeatability using automatic fabric defects detection system
Well, the advantages that speed is fast.
Description of the drawings
Fig. 1 be the utility model proposes a kind of clothes processing perching machine detecting device in automatic defect detection
Hardware components schematic diagram.
Specific implementation mode
In order to make the technical means, creative features, achievement of purpose, and effectiveness of the utility model be easy to understand, under
Face combines diagram and specific embodiment, and the utility model is expanded on further.
Shown in referring to Fig.1, a kind of perching machine detecting device of clothes processing, including video image obtain hardware
Subsystem, exploitation sheet processor and host, it includes motor, ccd sensor 3, CCD that the video image, which obtains hardware subsystem,
Controller 4, incremental encoder 5 and frame imaging sensor 6；
The motor includes motor M1, motor M2；
Workbench 7 and lamp 8 are additionally provided in the detection device, the motor M1 and motor M2 are arranged side by side in workbench
The both sides of 7 lower section, the workbench 7 are provided with trundle 10, and the upper end of the trundle 10 is with the upper surface of workbench 7 same
On one horizontal plane；
The lower section of the trundle 10 is provided with driving wheel 11, and the driving wheel 11 is between motor and workbench 7；
The motor is connected by belt with driving wheel 11；
The top of the workbench 7 is provided with ccd sensor 3, which is connected with CCD controllers 4；
Lamp 8 is provided between the ccd sensor 3 and workbench 7, the lamp 8 is located above the side of workbench 7；
It is provided with incremental encoder 5 and frame imaging sensor 6, the incremental encoder 5 above the side of the motor M1
Above the side of driving wheel 11, frame imaging sensor 6 is located at 11 side-lower of driving wheel, and the frame imaging sensor 6 is located at transmission
Between 11 and motor M1 of wheel；
The CCD controllers 4, incremental encoder 5 and frame imaging sensor 6 are connected with exploitation sheet processor, described to open
Hair sheet processor is connected with host 16；
Further, 11 radius of driving wheel above the sides motor M1 is more than the biography being located above the sides motor M2
Driving wheel 11；
Further, the exploitation sheet processor includes scanning processor 12, digital signal processor 13, synchronous triggering
Device 14 and motor driver 15；
The ccd sensor 3 is controlled with the fabric in scanning motion by CCD controllers 4 to obtain gray scale or coloured image
Signal, and this signal is passed into scanning processor 12, then handled by digital signal processor 13；
The synchronizer trigger 14 obtains the electric signal of incremental encoder 5, and this signal and scanning processor 12 are scanned
Signal synchronize；
The picture signal that the frame imaging sensor 6 obtains passes to motor driver 15, and motor driver 15 can
Control motor M1 and motor M2 simultaneously；
Specifically, the scanning processor 12, digital signal processor 13, synchronizer trigger 14 and motor driver 15
Signal transmission can be carried out with host 16 respectively；
Wherein, the frequency of the lamp 8 provides sufficient illumination intensity in 40~50kHz ranges, in order to avoid flicker；
The detection of fabric includes incandescence object and yarn dyed fabric；
A. grey cloth is weaved using warp, the weft threads of white, and there is no decorative patterns and intact fabric to mismatch due to color
Yarn mistake and cause pattern, fault, therefore, it is possible to which this kind of grey cloth image is converted to gray level image, then carry out fault
Detection process；
B. yarn dyed fabric defect detection algorithm performs flow is as follows：
The acquisition of yarn dyed fabric image (flawless reference picture and image to be detected)；
Coloured fabrics texture image enhancing is carried out with fractional order differential mask；
Yarn dyed fabric image from rgb color model conversion to Lab colour models, and 2 Color Channels are combined into 1 again
Number Color Channel；
Log-gabor filtering is carried out to color channel image and gray channel image, calculates color characteristic energy spectrum image
With gray feature energy spectrum image, the energy feature image of yarn dyed fabric is obtained after fusion；
Training stage calculates the flawless reference picture of yarn dyed fabric and the feature vector of the flawless segmentation pane of each of which, obtains
The possibility predication threshold value of flawless window；
Detection-phase calculates the feature vector of each of yarn dyed fabric energy feature image to be detected segmentation pane to be detected,
The estimated value for finding out each pane, by with threshold value comparison, detect the defect regions of yarn dyed fabric.
For the fault having been detected by, geometric properties that fault classification and identification algorithm exports assemblage characteristic extractor and
Fault classification results, are then respectively fed to display, network and control by input parameter of the texture feature vector as grader
Interface.
The image procossing of yarn-dyed fabric belongs to color digital image process range, the automatic defect inspection algorithm basis of yarn dyed fabric
It is exactly colour model, color quantization and color separation technology, RGB color model is a unit in three-dimensional rectangular coordinate color system
Square.CIE color model includes a series of color model, these color model are proposed by International Commission on Illumination, are
Reaction based on the eyes of people to RGB is used for reception of the Precise Representation to color.
Machine vision and image processing techniques can be applied in textile defect detection and classification work using the device,
Using automatic fabric defects detection system have many advantages, such as Detection accuracy it is high, it is objective it is reproducible, speed is fast.
Basic principles, main features, and advantages of the present invention has been shown and described above.One's own profession
The technical staff of industry is it should be appreciated that the present utility model is not limited to the above embodiments, described in above embodiments and description
Only illustrate the principles of the present invention, the utility model can also on the premise of not departing from the spirit and scope of the utility model
There are various changes and modifications, these various changes and improvements fall within the scope of the claimed invention.The utility model is wanted
Protection domain is asked to be defined by appended claims and its equivalent.
Claims (5)
1. at a kind of perching machine detecting device of clothes processing, including video image acquisition hardware subsystem, development board
Manage device and host, it is characterised in that：
It includes motor, ccd sensor (3), CCD controllers (4), incremental encoder that the video image, which obtains hardware subsystem,
(5) and frame imaging sensor (6)；
The motor includes motor M1 (1), motor M2 (2)；
Be additionally provided with workbench (7) and lamp (8) in the detection device, the motor M1 (1) and motor M2 (2) be arranged side by side in
The both sides of the lower section of workbench (7), the workbench (7) are provided with trundle (10), the upper end of the trundle (10) and work
The upper surface of platform (7) is in same level；
Driving wheel (11) is provided with below the trundle (10), the driving wheel (11) is located at motor and workbench (7)
Between；
The motor is connected by belt with driving wheel (11)；
It is provided with ccd sensor (3) above the workbench (7), which is connected with CCD controllers (4)；
Lamp (8) is provided between the ccd sensor (3) and workbench (7), the lamp (8) is located on the side of workbench (7)
Side；
It is provided with incremental encoder (5) and frame imaging sensor (6), the incremental encoder above the side of the motor M1 (1)
(5) it is located above the side of driving wheel (11), frame imaging sensor (6) is located at driving wheel (11) side-lower, the frame image sensing
Device (6) is located between driving wheel (11) and motor M1 (1)；
The CCD controllers (4), incremental encoder (5) and frame imaging sensor (6) are connected with exploitation sheet processor, described
Exploitation sheet processor is connected with host (16).
2. a kind of perching machine detecting device of clothes processing as described in claim 1, which is characterized in that described to be located at
Driving wheel (11) radius above motor M1 (1) side is more than the driving wheel (11) being located above motor M2 (2) side.
3. a kind of perching machine detecting device of clothes processing as described in claim 1, which is characterized in that the exploitation
Sheet processor includes scanning processor (12), digital signal processor (13), synchronizer trigger (14) and motor driver
(15)；
The ccd sensor (3) is controlled with the fabric in scanning motion by CCD controllers (4) to obtain gray scale or coloured image
Signal, and this signal is passed into scanning processor (12), then handled by digital signal processor (13)；
The synchronizer trigger (14) obtains the electric signal of incremental encoder (5), and this signal and scanning processor (12) are swept
The signal retouched synchronizes；
The picture signal that the frame imaging sensor (6) obtains passes to motor driver (15), motor driver (15)
Motor M1 (1) and motor M2 (2) can be controlled simultaneously.
4. a kind of perching machine detecting device of clothes processing as claimed in claim 3, which is characterized in that the scanning
Processor (12), digital signal processor (13), synchronizer trigger (14) and motor driver (15) can respectively with host
(16) signal transmission is carried out.
5. a kind of perching machine detecting device of clothes processing as claimed in claim 3, which is characterized in that the lamp
(8) frequency is in 40~50kHz ranges.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820345045.6U CN208023291U (en) | 2018-03-14 | 2018-03-14 | A kind of perching machine detecting device of clothes processing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820345045.6U CN208023291U (en) | 2018-03-14 | 2018-03-14 | A kind of perching machine detecting device of clothes processing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN208023291U true CN208023291U (en) | 2018-10-30 |
Family
ID=63906404
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201820345045.6U Expired - Fee Related CN208023291U (en) | 2018-03-14 | 2018-03-14 | A kind of perching machine detecting device of clothes processing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN208023291U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111337506A (en) * | 2020-03-30 | 2020-06-26 | 河南科技学院 | Intelligent device for clothes quality inspection |
| WO2023239319A1 (en) * | 2022-06-08 | 2023-12-14 | Serkon Tekstil Makina Ve Ekipmanlari Sanayi Ve Ticaret Limited Sirketi | Automatic fabric inspection machine that detects defects and colour differences in fabrics |
-
2018
- 2018-03-14 CN CN201820345045.6U patent/CN208023291U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111337506A (en) * | 2020-03-30 | 2020-06-26 | 河南科技学院 | Intelligent device for clothes quality inspection |
| CN111337506B (en) * | 2020-03-30 | 2023-07-07 | 河南科技学院 | Intelligent device for clothing quality inspection |
| WO2023239319A1 (en) * | 2022-06-08 | 2023-12-14 | Serkon Tekstil Makina Ve Ekipmanlari Sanayi Ve Ticaret Limited Sirketi | Automatic fabric inspection machine that detects defects and colour differences in fabrics |
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| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20181030 Termination date: 20190314 |
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| CF01 | Termination of patent right due to non-payment of annual fee |