CN109211937A - A kind of detection system and its detection method of underwear elastic woven tape curved strip defect - Google Patents

A kind of detection system and its detection method of underwear elastic woven tape curved strip defect Download PDF

Info

Publication number
CN109211937A
CN109211937A CN201810988126.2A CN201810988126A CN109211937A CN 109211937 A CN109211937 A CN 109211937A CN 201810988126 A CN201810988126 A CN 201810988126A CN 109211937 A CN109211937 A CN 109211937A
Authority
CN
China
Prior art keywords
image
woven tape
elastic woven
curved strip
slope
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201810988126.2A
Other languages
Chinese (zh)
Other versions
CN109211937B (en
Inventor
张宏伟
张蕾
权诗卉
苏泽斌
陈小改
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Foshan Shuntai Clothing Co.,Ltd.
Shenzhen Pengbo Information Technology Co ltd
Original Assignee
Xian Polytechnic University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xian Polytechnic University filed Critical Xian Polytechnic University
Priority to CN201810988126.2A priority Critical patent/CN109211937B/en
Publication of CN109211937A publication Critical patent/CN109211937A/en
Application granted granted Critical
Publication of CN109211937B publication Critical patent/CN109211937B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/95Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N21/956Inspecting patterns on the surface of objects
    • G01N21/95607Inspecting patterns on the surface of objects using a comparative method
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/13Edge detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • G06T2207/30124Fabrics; Textile; Paper

Abstract

A kind of detection system of underwear elastic woven tape curved strip defect of the present invention, including image acquisition units and image processing unit, described image acquisition unit is used to acquire the sample image of underwear elastic woven tape to be measured in real time, and described image processing unit is used for line segment extraction and calculates the slope of straight line.The present invention also provides a kind of detection methods of the detection system of underwear elastic woven tape curved strip defect.A kind of detection system of underwear elastic woven tape curved strip defect of the present invention realizes the real―time precision measurment of the slope of underwear elastic woven tape.

Description

A kind of detection system and its detection method of underwear elastic woven tape curved strip defect
Technical field
The invention belongs to fabric quality detection technique fields, and in particular to a kind of detection of underwear elastic woven tape curved strip defect System and its detection method.
Background technique
With the progress of China's modernization industry, textile industry automation becomes the inexorable trend of development.But it is raw in textile It produces in process, for the quality testing of underwear elastic woven tape, does not fully achieve automation, i.e., the inspection of most of ribbon defect but Work is surveyed still by manually estimating completion.And many influence factors all can cause manual detection efficiency lower, be no longer satisfied At this moment the growth requirement of modern textile industry needs a kind of automatic detection system just to replace artificial detection.
In recent years, China's computer technology flourishes, the maturation of image processing techniques, so that it is in industrial automation Aspect has wider application.It, not only can be with using image processing techniques during underwear elastic woven tape defects detection Overcome the various shortcoming of artificial detection, and data processing and analysis can be carried out to the testing result of acquisition, is knitted to improve Band quality.
The curved strip defect of underwear elastic woven tape is relatively common in weaving process, and Producing reason has: chain side or steel wire While entering inconsistent wrong reed, weft yarn raw material thickness, weft yarn feed problem, reed lattice are not inconsistent, the position of reed is mobile etc..
In ribbon technical data figure generally can all indicate ribbon it is micro-bend go out, it is micro-bend enter amount or straightness.If camber Greatly, subsequent production is necessarily affected, the difficulty of dyeing and finishing is increased.
Wu Ning, Guan Shengqi, Xu Shuaihua are at " fabric defects detection based on texture edge period Yu local direction " A kind of new detecting method is disclosed in article, this method extracts straight line by Hough transformation, finds one in the picture typically The straight line in its local grain direction can be represented, to obtain twills grain direction, then utilizes the direction character area of texture Divide normal texture and fault.For this method in twills texture feature extraction, detection effect is more obvious, however is directed to underwear When with elastic woven tape, the testing result inaccuracy of this method, there are large errors, it is also necessary to which further detection obtains specific The bending degree of ribbon.
Summary of the invention
The purpose of the present invention is to provide a kind of detection systems of underwear elastic woven tape curved strip defect, realize underwear elasticity The real―time precision measurment of the slope of ribbon.
Another object of the present invention is a kind of monitoring method of the detection system of underwear elastic woven tape curved strip defect.
The technical scheme adopted by the invention is that: a kind of detection system of underwear elastic woven tape curved strip defect, including image Acquisition unit and image processing unit, image acquisition units are used to acquire the sample image of underwear elastic woven tape to be measured, figure in real time As processing unit is used to carry out line segment extraction to collected sample image and calculates the slope of straightway.
The features of the present invention also characterized in that
Image acquisition units are industrial camera.
Image processing unit is industrial control computer.
Industrial camera is connect using gigabit ethernet interface with industrial control computer.
A kind of detection method of the detection system using underwear elastic woven tape curved strip defect as described above, specifically according to such as Lower step operation:
Step 1: acquiring underwear elastic woven tape image to be measured in real time with image acquisition units;
Step 2: image enhancement being carried out to collected underwear elastic woven tape image to be measured with image processing unit, is filtered out Noise jamming improves the clarity of image;
Step 3: edge detection being carried out to the image that step 2 obtains using canny edge detection algorithm, obtains binary picture Picture;
Step 4: Hough transformation is carried out to binary image and determines edge line parametric equation:
Establish two-dimensional coordinate system with image processing unit, to the coordinate of each of binary image pixel (x, Y) it carries out processing and obtains corresponding parameter ρ, θ, establish one about parameter ρ, the two-dimensional array of θ, finding in two-dimensional array has (ρ, the θ) of identical value, and record each identical (ρ, θ) and its corresponding number of repetition n in two-dimensional array, of identical (ρ, θ) Number indicates the numbers of straight line in binary images, is handled each identical (ρ, θ) and add up and S, adds up and S highest The number of identical (ρ, θ) be expressed as the number of edge line, add up and ρ, the θ of S highest identical (ρ, θ) be edge line Parameter, the process that the coordinate (x, y) of each of binary image pixel is handled are as follows:
Wherein, ρ is vertical range of the straight line to origin, and θ is angle of the x-axis to straight line vertical line, and the value range of θ is -90 ° ~+90 °, k is the slope of straight line, and b is the intercept of straight line on the y axis;
Publicity (1) processing is substituted into each cumulative and S highest identical (ρ, θ) ρ, θ and obtains edge line parameter side Journey;
Step 5: according to the edge line parametric equation of step 4, whether ribbon to be measured being judged according to the slope of edge line For curved strip, deterministic process are as follows:
It is normal ribbon, when the slope > 0.01 of edge line or side when the slope of -0.01≤edge line≤0.01 It is curved strip when the slope < -0.01 of edge straight line.
The process that each identical (ρ, θ) is handled in step 4 are as follows:
S=(ρ+θ) × n (2)
Wherein S be the cumulative of each identical (ρ, θ) and.
The beneficial effects of the present invention are: a kind of detection system of underwear elastic woven tape curved strip defect of the present invention passes through at image Reason technology carries out feature extraction to the textural characteristics of underwear elastic woven tape, using Hough transformation to the straight line in ribbon texture image It is detected, then the slope of straight line is detected, judge whether ribbon is curved strip by the size of slope, realized interior The real-time accurate detection of clothing elastic woven tape slope has the advantages that untouchable, objectivity, real-time, high-efficient, with high accuracy; It can by the industrial camera in standard light source lamp house and the industrial control computer equipped with related software and database The slope that underwear elastic woven tape is detected with real-time online judges that curved strip defect whether there is, in the premise for guaranteeing measurement accuracy Under corresponding testing cost is greatly reduced.
Detailed description of the invention
Fig. 1 is a kind of detection system structure chart of underwear elastic woven tape curved strip defect of the present invention;
Fig. 2 is a kind of monitoring method flow diagram of the detection system of underwear elastic woven tape curved strip defect of the present invention.
Specific embodiment
The detection system of a kind of underwear elastic woven tape curved strip defect provided by the invention, as shown in Figure 1, including Image Acquisition Unit and image processing unit, image acquisition units are used to acquire the sample image of underwear elastic woven tape to be measured in real time, at image Reason unit is used to carry out line segment extraction to collected sample image and calculates the slope of straightway.
Image acquisition units are industrial camera.
Image processing unit is industrial control computer.
Industrial camera is connect using gigabit ethernet interface with industrial control computer.
The detection system of a kind of underwear elastic woven tape curved strip defect provided by the invention, wherein industrial camera is adopted in real time Collect the image of underwear elastic woven tape to be measured, and sends image to industrial control computer.
Industrial camera is mounted in the standard light source lamp house near inkle loom, due to ambient light shine variation will lead to it is interior The fluctuation of clothing elastic woven tape brightness and contrast is kept apart so needing to be shone product to be checked with ambient light using standard light source lamp house Come, intensity of illumination when guaranteeing detection every time is constant.
500 ten thousand pixel black and white industrial camera C125-0618-5Ms of the industrial camera using Germany basler, the industry Video camera use 5,000,000 pixels planar array type 1/2.5 " CCD industrial lens, f-number F1.8-F22, resolution ratio be 1388 × 1038, C mouth mirror heads provide the fixed focal length of 6mm, and compact is easily installed.
Industrial control computer receives the ribbon image that industrial camera provides, and carries out lines detection, detection to image The slope of ribbon to be measured out.
For industrial control computer using magnificent industrial control computer is ground, which uses Intel dual core processor, dominant frequency 3.0G, 1100M network interface card, 1G memory, 160G hard disk, 19 cun of liquid crystal displays meet the requirement of industry spot adverse circumstances.
Industrial control computer is equipped with image preprocessing software, sample database and straight slope Survey Software, and Industrial camera is connected by gigabit Ethernet.
A kind of detection method of the detection system of underwear elastic woven tape curved strip defect as described above, as shown in Fig. 2, specifically It operates in accordance with the following steps:
Step 1: acquiring underwear elastic woven tape image to be measured in real time with image acquisition units;
Step 2: image enhancement being carried out to collected underwear elastic woven tape image to be measured with image processing unit, is filtered out Noise jamming improves the clarity of image;
Step 3: edge detection being carried out to the image that step 2 obtains using canny edge detection algorithm, obtains binary picture Picture;
Step 4: Hough transformation is carried out to binary image and determines edge line parametric equation:
Establish two-dimensional coordinate system with image processing unit, to the coordinate of each of binary image pixel (x, Y) it carries out processing and obtains corresponding parameter ρ, θ, establish one about parameter ρ, the two-dimensional array of θ, finding in two-dimensional array has (ρ, the θ) of identical value, and record each identical (ρ, θ) and its corresponding number of repetition n in two-dimensional array, of identical (ρ, θ) Number indicates the numbers of straight line in binary images, is handled each identical (ρ, θ) and add up and S, adds up and S highest The number of identical (ρ, θ) be expressed as the number of edge line, add up and ρ, the θ of S highest identical (ρ, θ) be edge line Parameter, the process that the coordinate (x, y) of each of binary image pixel is handled are as follows:
Wherein, ρ is vertical range of the straight line to origin, and θ is angle of the x-axis to straight line vertical line, and the value range of θ is -90 ° ~+90 °, k is the slope of straight line, and b is the intercept of straight line on the y axis;
Publicity (1) processing is substituted into each cumulative and S highest identical (ρ, θ) ρ, θ and obtains edge line parameter side Journey;
Step 5: according to the edge line parametric equation of step 4, whether ribbon to be measured being judged according to the slope of edge line For curved strip, deterministic process are as follows:
It is normal ribbon, when the slope > 0.01 of edge line or side when the slope of -0.01≤edge line≤0.01 It is curved strip when the slope < -0.01 of edge straight line.
The process that each identical (ρ, θ) is handled in step 4 are as follows:
S=(ρ+θ) × n (2)
Wherein S be the cumulative of each identical (ρ, θ) and.
It should be noted that theoretically, when straight slope is 0, which is normal ribbon;When straight slope is not 0 When, which is curved strip.But there are certain error when Image Acquisition, the slope of normal ribbon is not 0.The present invention is by repeatedly real The slope that test obtains normal ribbon is ± 0.0141, therefore sets 0.01 as threshold value, when slope≤0.01 of -0.01≤edge line When, it is normal ribbon, is curved strip as the slope < -0.01 of the slope > 0.01 of edge line or edge line.
A kind of detection method such as the detection system of underwear elastic woven tape curved strip defect of the present invention passes through image processing techniques Feature extraction is carried out to the textural characteristics of underwear elastic woven tape, the straight line in ribbon texture image is examined using Hough transformation It surveys, then the slope of edge line is detected, judges whether ribbon is curved strip, realizes underwear by the size of slope The real-time accurate detection of elastic woven tape slope has the advantages that untouchable, objectivity, real-time, high-efficient, with high accuracy;Together When the invention also discloses a kind of detection systems of underwear elastic woven tape curved strip defect, including image acquisition units, image procossing Unit, the slope of real-time detection underwear elastic woven tape judge that curved strip defect whether there is, big under the premise of guaranteeing measurement accuracy Corresponding testing cost is reduced greatly.

Claims (6)

1. a kind of detection system of underwear elastic woven tape curved strip defect is it is characterised in that it includes image acquisition units and image procossing Unit, described image acquisition unit are used to acquire the sample image of underwear elastic woven tape to be measured, described image processing unit in real time For carrying out line segment extraction to collected sample image and calculating the slope of straightway.
2. a kind of detection system of underwear elastic woven tape curved strip defect as described in claim 1, which is characterized in that described image Acquisition unit is industrial camera.
3. a kind of detection system of underwear elastic woven tape curved strip defect as claimed in claim 2, which is characterized in that described image Processing unit is industrial control computer.
4. a kind of detection system of underwear elastic woven tape curved strip defect as claimed in claim 3, which is characterized in that the industry Video camera is connect using gigabit ethernet interface with industrial control computer.
5. a kind of detection side of the detection system using underwear elastic woven tape curved strip defect according to any one of claims 1-4 Method, which is characterized in that specifically operate in accordance with the following steps:
Step 1: acquiring underwear elastic woven tape image to be measured in real time with image acquisition units;
Step 2: image enhancement being carried out to collected underwear elastic woven tape image to be measured with image processing unit, filters out noise Interference, improves the clarity of image;
Step 3: edge detection being carried out to the image that step 2 obtains using canny edge detection algorithm, obtains binary image;
Step 4: Hough transformation is carried out to binary image and determines edge line parametric equation:
Establish two-dimensional coordinate system with image processing unit, to the coordinate (x, y) of each of binary image pixel into Row processing obtains corresponding parameter ρ, θ, establishes one about parameter ρ, the two-dimensional array of θ, finds in two-dimensional array with identical (ρ, the θ) of value, and record each identical (ρ, θ) and its corresponding number of repetition n, the number table of identical (ρ, θ) in two-dimensional array The number for showing straight line in binary image handles each identical (ρ, θ) and is added up and S, adds up and the highest phase of S It is expressed as the number of edge line with the number of (ρ, θ), adds up and ρ, the θ of S highest identical (ρ, θ) is the ginseng of edge line Number, the process that the coordinate (x, y) to each of binary image pixel is handled are as follows:
Wherein, ρ is vertical range of the straight line to origin, and θ is angle of the x-axis to straight line vertical line, the value range of θ is -90 °~+ 90 °, k is the slope of straight line, and b is the intercept of straight line on the y axis;
Publicity (1) processing is substituted into each cumulative and S highest identical (ρ, θ) ρ, θ and obtains edge line parametric equation;
Step 5: according to the edge line parametric equation of step 4, judging whether ribbon to be measured is curved according to the slope of edge line Band, the deterministic process are as follows:
It is normal ribbon, when the slope > 0.01 or edge of edge line are straight when the slope of -0.01≤edge line≤0.01 It is curved strip when the slope < -0.01 of line.
6. a kind of detection method of the detection system of underwear elastic woven tape curved strip defect as claimed in claim 5, feature exist In the process handled in the step 4 each identical (ρ, θ) are as follows:
S=(ρ+θ) × n (2)
Wherein S be the cumulative of each identical (ρ, θ) and.
CN201810988126.2A 2018-08-28 2018-08-28 Detection system and detection method for bending defect of elastic braid of underwear Active CN109211937B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810988126.2A CN109211937B (en) 2018-08-28 2018-08-28 Detection system and detection method for bending defect of elastic braid of underwear

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810988126.2A CN109211937B (en) 2018-08-28 2018-08-28 Detection system and detection method for bending defect of elastic braid of underwear

Publications (2)

Publication Number Publication Date
CN109211937A true CN109211937A (en) 2019-01-15
CN109211937B CN109211937B (en) 2021-02-19

Family

ID=64986147

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810988126.2A Active CN109211937B (en) 2018-08-28 2018-08-28 Detection system and detection method for bending defect of elastic braid of underwear

Country Status (1)

Country Link
CN (1) CN109211937B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112070766A (en) * 2020-11-16 2020-12-11 深圳中科飞测科技有限公司 Defect detection method and device, detection equipment and readable storage medium

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101644565A (en) * 2008-08-04 2010-02-10 香港纺织及成衣研发中心 Digital test system and method for dimension variety and distortion of textile
CN102303017A (en) * 2011-04-29 2012-01-04 无锡众望四维科技有限公司 Method for automatically detecting bending of injector steel needles by using machine vision system
CN102818553A (en) * 2012-07-31 2012-12-12 东莞理工学院 On-line detection system of bending deformation of metal strip
CN202770781U (en) * 2012-09-05 2013-03-06 西安工程大学 Fabric defect online detection device based on machine vision
CN103438836A (en) * 2013-08-23 2013-12-11 中联重科股份有限公司 Device, system and method for measuring bending angle of bent piece
CN104766327A (en) * 2015-04-15 2015-07-08 华侨大学 Fabric deviation detection method and system based on image
CN205175925U (en) * 2015-11-17 2016-04-20 西安工程大学 Fabric defects real -time detection device
CN105760812A (en) * 2016-01-15 2016-07-13 北京工业大学 Hough transform-based lane line detection method
CN107169956A (en) * 2017-04-28 2017-09-15 西安工程大学 Yarn dyed fabric defect detection method based on convolutional neural networks
CN107622490A (en) * 2017-10-12 2018-01-23 哈尔滨工业大学(威海) Embedded plastic textile quality detection device and detection method based on machine vision

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101644565A (en) * 2008-08-04 2010-02-10 香港纺织及成衣研发中心 Digital test system and method for dimension variety and distortion of textile
CN102303017A (en) * 2011-04-29 2012-01-04 无锡众望四维科技有限公司 Method for automatically detecting bending of injector steel needles by using machine vision system
CN102818553A (en) * 2012-07-31 2012-12-12 东莞理工学院 On-line detection system of bending deformation of metal strip
CN202770781U (en) * 2012-09-05 2013-03-06 西安工程大学 Fabric defect online detection device based on machine vision
CN103438836A (en) * 2013-08-23 2013-12-11 中联重科股份有限公司 Device, system and method for measuring bending angle of bent piece
CN104766327A (en) * 2015-04-15 2015-07-08 华侨大学 Fabric deviation detection method and system based on image
CN205175925U (en) * 2015-11-17 2016-04-20 西安工程大学 Fabric defects real -time detection device
CN105760812A (en) * 2016-01-15 2016-07-13 北京工业大学 Hough transform-based lane line detection method
CN107169956A (en) * 2017-04-28 2017-09-15 西安工程大学 Yarn dyed fabric defect detection method based on convolutional neural networks
CN107622490A (en) * 2017-10-12 2018-01-23 哈尔滨工业大学(威海) Embedded plastic textile quality detection device and detection method based on machine vision

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
吴宁 等: "基于纹理边缘周期性与局部方向性的织物疵点检测", 《计算机与现代化》 *
马丽霞 等: "基于机器视觉的板料弯曲角实时识别系统研究", 《塑性工程学报》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112070766A (en) * 2020-11-16 2020-12-11 深圳中科飞测科技有限公司 Defect detection method and device, detection equipment and readable storage medium
CN112070766B (en) * 2020-11-16 2021-02-19 深圳中科飞测科技有限公司 Defect detection method and device, detection equipment and readable storage medium

Also Published As

Publication number Publication date
CN109211937B (en) 2021-02-19

Similar Documents

Publication Publication Date Title
CN106226325B (en) A kind of seat surface defect detecting system and its method based on machine vision
CN109507192A (en) A kind of magnetic core detection method of surface flaw based on machine vision
CN103759662B (en) A kind of textile yarn diameter dynamic rapid measurement device and method
CN102680481B (en) Detection method for cotton fiber impurities
CN115100206B (en) Printing defect identification method for textile with periodic pattern
CN110298840B (en) Yarn defect detection method based on image
CN102288607A (en) Woven fabric count detector based on digital microscope
CN114693676B (en) Optical detection method and device for bleaching defects of new material textiles
CN111415349B (en) Polyester filament yarn detection method based on image processing technology
CN109324056B (en) Sewing thread trace measuring method based on machine vision
CN109900719A (en) A kind of visible detection method of blade surface knife mark
CN110310275A (en) A kind of chain conveyor defect inspection method based on image procossing
CN109540918A (en) A kind of hot rolled coil edge fault detection device and method
CN112014407A (en) Method for detecting surface defects of integrated circuit wafer
CN106501278B (en) Surface of the light tube defect classification method and system based on invariable rotary textural characteristics
CN113177925B (en) Method for nondestructive detection of fruit surface defects
CN107610119A (en) The accurate detection method of steel strip surface defect decomposed based on histogram
CN109211937A (en) A kind of detection system and its detection method of underwear elastic woven tape curved strip defect
CN110672209A (en) Online detection method for warp knitting cloth color difference
Han et al. Identification and measurement of convolutions in cotton fiber using image analysis
CN109297979B (en) Raw silk quality detection device and detection method
CN109461155B (en) Raw silk quality detection method
CN110243475B (en) Fabric color difference detection method based on machine vision recognition technology
CN112763495A (en) Mobile phone battery size and appearance defect detection system and detection method
CN211206290U (en) Non-woven fabric defect on-line measuring system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20230413

Address after: 518000 5618, No. 61, Guanlan Avenue, Xinhe community, Fucheng street, Longhua District, Shenzhen, Guangdong

Patentee after: Shenzhen Pengbo Information Technology Co.,Ltd.

Address before: 710048 No. 19 Jinhua South Road, Shaanxi, Xi'an

Patentee before: XI'AN POLYTECHNIC University

Effective date of registration: 20230413

Address after: 528200 3rd Floor, Yongbiao Comprehensive Building, No. 9 Yanbu Avenue, Dali Town, Nanhai District, Foshan City, Guangdong Province (Residence Declaration)

Patentee after: Foshan Shuntai Clothing Co.,Ltd.

Address before: 518000 5618, No. 61, Guanlan Avenue, Xinhe community, Fucheng street, Longhua District, Shenzhen, Guangdong

Patentee before: Shenzhen Pengbo Information Technology Co.,Ltd.