CN205175925U - Fabric defects real -time detection device - Google Patents

Fabric defects real -time detection device Download PDF

Info

Publication number
CN205175925U
CN205175925U CN201520916230.2U CN201520916230U CN205175925U CN 205175925 U CN205175925 U CN 205175925U CN 201520916230 U CN201520916230 U CN 201520916230U CN 205175925 U CN205175925 U CN 205175925U
Authority
CN
China
Prior art keywords
module
real
fabric
fabric defects
time detection
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.)
Expired - Fee Related
Application number
CN201520916230.2U
Other languages
Chinese (zh)
Inventor
张蕾
景军锋
李鹏飞
王晓华
张宏伟
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.)
Xian Polytechnic University
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 CN201520916230.2U priority Critical patent/CN205175925U/en
Application granted granted Critical
Publication of CN205175925U publication Critical patent/CN205175925U/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The utility model discloses a fabric defects real -time detection device, including the CCD camera that is used for fabric video image to gather, the CCD camera is connected with data decode processing module, and data decode processing module and storage module are connected, and storage module is connected with embedded fault detection ware module, and embedded fault detection ware module is connected with ethernet module, serial communication module and display module respectively. The utility model discloses utilize and to use TMS320DM6446 model DSP to detect as the fault that the embedded fault detection module of core can accomplish the fabric image at a high speed accurately, can improve fault automatic checkout device's real -time, can greatly improve fault detection efficiency and measuring precision. Ethernet module and serial communication module be convenient uses linux's the NFS file system service and the HYPER TERMINAL of computer when the programming is with the debugging in the host processing ware, fabric image fault can show in real time on the display module after embedded fault detection ware module is handled, can embody the testing result more directly perceivedly.

Description

A kind of fabric defects real-time detection apparatus
Technical field
The utility model belongs to textile defect detection equipment technical field, relates to a kind of fabric defects real-time detection apparatus.
Background technology
In fabric weaving industry, fabric defects detection is the very important ring in product quality monitoring field, because fabric defects affects the quality of fabric, finally affects the selling price of fabric.Traditional detection method is by manually completing, and in an optimal situation, Traditional Man detects fabric defects, the fault precision that can detect is no more than 60%, but, to fabric wider than 2 meters, when travelling speed is higher than 30 meters per minute, effectively fabric defects can not be detected.In addition conventional fabrics defect detection workload is large, and the factor at heart easily by staff affects, and long-time monotonous work not only can not ensure accuracy of detection and efficiency, also greatly damages the eyes of workman.
In recent years, along with the fast development of industrial automatization, traditional manual detection fabric defects can not meet the demand in current textile industry field, and be therefore badly in need of research and development fast, fabric defects detection system replaces traditional manual detection fabric defects in real time efficiently.Along with the develop rapidly of digital image processing techniques, various robotization defect detection method instead of original manual working, and computer vision instead of the human eye with subjective factor, and classify accuracy and efficiency are all greatly improved.But in automatic defect detection field, because cloth does fast offset motion on the textile dyeing machineries such as batcher, therefore very high for automatic fault requirement of real-time, require that fabric defects detection system uses efficient algorithm, the working time of real-time detecting system can be reduced, improve detection efficiency and precision simultaneously.
Utility model content
The purpose of this utility model is to provide a kind of fabric defects real-time detection apparatus, solve existing fabric defects detection precision and efficiency low, and the problem that detects in real time can not be carried out.
The technical scheme that the utility model adopts is, a kind of fabric defects real-time detection apparatus, comprise the CCD camera for fabric video image acquisition, CCD camera is connected with data decode processing module, data decode processing module is connected with memory module, memory module is connected with embedded defect detection processor module, and embedded defect detection processor module is connected with ethernet module, serial communication modular and display module respectively; Ethernet module, serial communication modular are also connected with host computer respectively.
Feature of the present utility model is also,
Data decode processing module adopts video decoding chip TVP5150PBS.
Memory module adopts LPC2292FBD144flash storer.
Embedded defect detection processor module adopts the DSP embedded chip of the TMS320DM6446 model of TI company as primary processor.
Ethernet module adopts LAN91C111 ethernet controller.
Serial communication modular adopts RS-232 communication port to transmit; Wherein, adopt SN74AVC1T45 chip as level transferring chip, adopt MAX3221 chip as RS-232C interface connector.
Display module adopts LED display or LCD display.
The beneficial effects of the utility model are, the embedded defect detection module that it is core that the utility model utilizes with TMS320DM6446 model DSP accurately can complete at a high speed the defect detection algorithm of textile image, the real-time of automatic defect inspection device can be improved, can greatly improve defect detection efficiency and accuracy of detection.Ethernet module and serial communication modular conveniently use the NFS file system service of Linux and the hyper terminal of computing machine when programming and debugging in primary processor; Textile image fault can show in real time after the process of embedded defect detection processor module on display module, can embody testing result more intuitively.
Accompanying drawing explanation
Fig. 1 is the structural representation of the utility model fabric defects real-time detection apparatus.
In figure, 1.CCD camera, 2. data decode processing module, 3. memory module, 4. embedded defect detection processor module, 5. ethernet module, 6. serial communication modular, 7. display module, 8. host computer.
Embodiment
Below in conjunction with the drawings and specific embodiments, the utility model is described in detail.
A kind of fabric defects real-time detection apparatus of the utility model structural representation as shown in Figure 1, comprise the CCD camera 1 for fabric video image acquisition, CCD camera 1 is connected with data decode processing module 2, data decode processing module 2 is connected with memory module 3, memory module 3 is connected with embedded defect detection processor module 4, and embedded defect detection processor module 4 is connected with ethernet module 5, serial communication modular 6 and display module 7 respectively; Ethernet module 5, serial communication modular 6 are also connected with host computer 8 respectively.Wherein, data decode processing module 2 adopts video decoding chip TVP5150PBS.Memory module 3 adopts LPC2292FBD144flash storer.Embedded defect detection processor module 4 adopts the DSP embedded chip of the TMS320DM6446 model of TI company as primary processor.Ethernet module 5 adopts LAN91C111 ethernet controller.Serial communication modular 6 adopts RS-232 communication port to transmit; Adopt SN74AVC1T45 chip as level transferring chip, adopt MAX3221 chip as RS-232C interface connector.Display module 7 adopts LED display or LCD display.
The course of work of the utility model fabric defects real-time detection apparatus is:
The image of the fabric that step 1:CCD camera 1 captured in real-time batcher passes through, and the image information collected is transported in data decode processing module 2, data decode processing module 2 carries out image data decoding process through TVP5150PBS chip; Decoded image data storage is in memory module 3;
Step 2: embedded defect detection processor module 4 reads the view data in memory module 3 and the defect detection utilizing the DSP of TMS320DM6446 model to carry out based on image processing algorithm, subsequently testing result is uploaded to host computer via ethernet module 5, serial communication modular 6, meanwhile, defect image is shown in real time through display module 7.
The utility model provides a kind of fabric defects real-time detection apparatus, can accurately detect the fault that the fabric of high-speed motion exists in real time, testing result is obtained fast by the defect detection software based on image processing algorithm solidified in primary processor, and provide multiple network interface for information transmission and display, meet and automatically detect the fault field feature higher to requirement of real-time, in addition the embedded defect detection processor module in the utility model device adopts Leonardo da Vinci's series DSP as primary processor, the master chip adopted is the TMS320DM6446 of TI, in its dicaryon architecture, ARM core is ARM926EJ-S and the DSP core with reduced instruction set computer is high performance TMS320C64+, frequency respectively can up to 297MHz and 594MHz, it fully can meet the real-time of video algorithm process and the requirement of algorithm operation quantity, real-time operation can be carried out to large-scale image data, fast operation, thus ensure that the real-time of embedded real-time fabric defects detection device, can greatly improve defect detection efficiency and accuracy of detection.
Above specific embodiment of the utility model is described, comparatively concrete and detailed, but originally therefore can not be interpreted as the restriction to the utility model the scope of the claims.It should be pointed out that the common technique personnel for this area, under the prerequisite not departing from design of the present utility model, can also make some distortion and improvement, these all belong to protection domain of the present utility model.Therefore, the protection domain of the utility model patent is as the criterion with claims.

Claims (7)

1. a fabric defects real-time detection apparatus, it is characterized in that, comprise the CCD camera (1) for fabric video image acquisition, CCD camera (1) is connected with data decode processing module (2), data decode processing module (2) is connected with memory module (3), memory module (3) is connected with embedded defect detection processor module (4), and embedded defect detection processor module (4) is connected with ethernet module (5), serial communication modular (6) and display module (7) respectively; Ethernet module (5), serial communication modular (6) are also connected with host computer (8) respectively.
2. a kind of fabric defects real-time detection apparatus according to claim 1, is characterized in that, described data decode processing module (2) adopts video decoding chip TVP5150PBS.
3. a kind of fabric defects real-time detection apparatus according to claim 1, is characterized in that, described memory module (3) adopts LPC2292FBD144flash storer.
4. a kind of fabric defects real-time detection apparatus according to claim 1, is characterized in that, described embedded defect detection processor module (4) adopts the DSP embedded chip of the TMS320DM6446 model of TI company as primary processor.
5. a kind of fabric defects real-time detection apparatus according to claim 1, is characterized in that, described ethernet module (5) adopts LAN91C111 ethernet controller.
6. a kind of fabric defects real-time detection apparatus according to claim 1, is characterized in that, described serial communication modular (6) adopts RS-232 communication port to transmit; Wherein, adopt SN74AVC1T45 chip as level transferring chip, adopt MAX3221 chip as RS-232C interface connector.
7. a kind of fabric defects real-time detection apparatus according to claim 1, is characterized in that, described display module (7) adopts LED display or LCD display.
CN201520916230.2U 2015-11-17 2015-11-17 Fabric defects real -time detection device Expired - Fee Related CN205175925U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201520916230.2U CN205175925U (en) 2015-11-17 2015-11-17 Fabric defects real -time detection device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201520916230.2U CN205175925U (en) 2015-11-17 2015-11-17 Fabric defects real -time detection device

Publications (1)

Publication Number Publication Date
CN205175925U true CN205175925U (en) 2016-04-20

Family

ID=55739901

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201520916230.2U Expired - Fee Related CN205175925U (en) 2015-11-17 2015-11-17 Fabric defects real -time detection device

Country Status (1)

Country Link
CN (1) CN205175925U (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107657613A (en) * 2017-11-01 2018-02-02 扬州远睿精密机械有限公司 A kind of warp thread condition checkout gear and its method of work
CN109142641A (en) * 2018-09-30 2019-01-04 马鞍山沐及信息科技有限公司 A kind of checking machine
CN109211937A (en) * 2018-08-28 2019-01-15 西安工程大学 A kind of detection system and its detection method of underwear elastic woven tape curved strip defect
CN109342450A (en) * 2018-10-30 2019-02-15 深圳灵图慧视科技有限公司 Intelligent cloth examination device
CN112051271A (en) * 2018-07-06 2020-12-08 湖南工程学院 Device and process for automatically detecting fabric defects

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107657613A (en) * 2017-11-01 2018-02-02 扬州远睿精密机械有限公司 A kind of warp thread condition checkout gear and its method of work
CN112051271A (en) * 2018-07-06 2020-12-08 湖南工程学院 Device and process for automatically detecting fabric defects
CN112051271B (en) * 2018-07-06 2024-03-12 湖南工程学院 Device and process for automatically detecting fabric flaws
CN109211937A (en) * 2018-08-28 2019-01-15 西安工程大学 A kind of detection system and its detection method of underwear elastic woven tape curved strip defect
CN109211937B (en) * 2018-08-28 2021-02-19 西安工程大学 Detection system and detection method for bending defect of elastic braid of underwear
CN109142641A (en) * 2018-09-30 2019-01-04 马鞍山沐及信息科技有限公司 A kind of checking machine
CN109342450A (en) * 2018-10-30 2019-02-15 深圳灵图慧视科技有限公司 Intelligent cloth examination device

Similar Documents

Publication Publication Date Title
CN205175925U (en) Fabric defects real -time detection device
CN203203943U (en) On-line continuous product detecting system based on machine vision
CN107643295A (en) A kind of method and system of the cloth defect on-line checking based on machine vision
CN206747057U (en) A kind of PCB on-line checking sorting device
CN203688459U (en) On-line fabric quality detection system based on image recognition
CN103544524A (en) Bar reviewing-counting method and device
CN205265369U (en) Cable and tunnel operation and maintenance management field data application apparatus
CN103344648A (en) Method and system for detecting surface quality of steel sheet based on graphics processing unit (GPU)
CN104535589A (en) Online detection method and device for low-voltage current mutual inductor
CN202661397U (en) Cloth defect online automatic detecting system
CN203551280U (en) Engine general assembly detection system
CN205487272U (en) Display screen fault handling system
CN103175840B (en) Based on offset plate surface detection method and the system of machine vision
CN203164135U (en) Cable online detecting system
CN109881356B (en) Hosiery machine knitting needle online detection device and method based on SVM image classification
CN112906602A (en) Automatic identification device and identification method for electricity meter of power distribution cabinet based on image processing
CN105785941B (en) A kind of intelligent terminal auxiliary test unit
CN208752022U (en) Deep learning machine vision automatic on-line cloth examination device based on raspberry pie
CN208805156U (en) A kind of battery on-line measuring device based on machine vision technique
CN207923747U (en) A kind of textile cloth cloth surface detection system
CN215120852U (en) Power distribution cabinet external electric power meter image acquisition device based on ubiquitous power internet of things
CN213866539U (en) Distributed foreign fiber sorting system applying deep learning image processing
CN204620479U (en) A kind of online coding checkout equipment
CN205067378U (en) Five metals work piece detecting system
CN202257664U (en) Bundled copper pipe counting device based on machine visual sense

Legal Events

Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20160420

Termination date: 20161117

CF01 Termination of patent right due to non-payment of annual fee