Movatterモバイル変換


[0]ホーム

URL:


CN109596054A - The size detection recognition methods of strip workpiece - Google Patents

The size detection recognition methods of strip workpiece
Download PDF

Info

Publication number
CN109596054A
CN109596054ACN201910101503.0ACN201910101503ACN109596054ACN 109596054 ACN109596054 ACN 109596054ACN 201910101503 ACN201910101503 ACN 201910101503ACN 109596054 ACN109596054 ACN 109596054A
Authority
CN
China
Prior art keywords
workpiece
millimeters
identification
light source
recognition methods
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.)
Pending
Application number
CN201910101503.0A
Other languages
Chinese (zh)
Inventor
谭良
赵大庆
蔡毓
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.)
Zhongke Fenghai (Foshan) Intelligent Technology Co., Ltd.
Original Assignee
Dongguan Zhongke Blue Sea Intelligent Vision Technology Co Ltd
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 Dongguan Zhongke Blue Sea Intelligent Vision Technology Co LtdfiledCriticalDongguan Zhongke Blue Sea Intelligent Vision Technology Co Ltd
Priority to CN201910101503.0ApriorityCriticalpatent/CN109596054A/en
Publication of CN109596054ApublicationCriticalpatent/CN109596054A/en
Pendinglegal-statusCriticalCurrent

Links

Classifications

Landscapes

Abstract

The present invention relates to technical field of vision detection, refer in particular to a kind of size detection recognition methods of strip workpiece, include the following steps, carry out Image Acquisition to workpiece;Line detection algorithm and spot detection algorithm identification positioning workpiece and identification measurement Workpiece length are carried out to the image of acquisition;The Workpiece length of identification measurement is judged;By the total number information of identification measurement workpiece, judge that total number information, the total number information for judging unqualified number and the corresponding workpiece identification of qualified number measure length information and be converted to the output of readable data information, a variety of data acquisitions are carried out to the image of acquisition to summarize, greatly to facilitate subsequent job needs, summary information, which can transport, simultaneously leads into table to computer and allows the very clear processing situation of operating personnel, convenient for according to circumstances modifying the operation such as processing scheme rapidly, operating efficiency is improved.

Description

The size detection recognition methods of strip workpiece
Technical field
The present invention relates to technical field of vision detection, refer in particular to a kind of size detection recognition methods of strip workpiece.
Background technique
The characteristics of Machine Vision Detection is the flexibility and the degree of automation for improving production.It is not suitable for manual work someDangerous work environment or artificial vision be difficult to the occasion met the requirements, machine in normal service vision substitutes artificial vision;Exist simultaneouslyIn high-volume industrial processes, manually visual inspection product quality low efficiency and precision is not high, with Machine Vision Detection sideMethod can greatly improve the degree of automation of production efficiency and production.And machine vision is easily achieved information integration, is to realizeThe basic technology of computer integrated manufacturing system.Vision-based detection is exactly to replace human eye with machine to measure and judge.Vision-based detection isRefer to that, by machine vision product, image-pickup device is divided to CMOS and two kinds of CCD, will be ingested target and be converted into picture signal,It sends dedicated image processing system to, according to the information such as pixel distribution and brightness, color, is transformed into digitized signal;ImageSystem carries out various operations to these signals to extract clarification of objective, and then the equipment at scene is controlled according to the result of differentiationMovement.It is the valuable mechanism for producing, assembling or pack.It is in detection defect and prevents from faulty goods to be dispensed into disappearingThere is immeasurable value in terms of the function of the person of expense.
As above situation, vision-based detection has huge market value, most crucial in vision-based detection system not to beHardware device but algorithm steps, and algorithm steps can be because of testing result requirement, product shape, operating environment situation and designThe appearance of the factors such as the technical capability of personnel or group is multifarious, if core algorithm step design shortcoming, affects a whole set of viewThe operational efficiency and running quality for feeling detection device, and in the algorithm steps of magnetic door seal size, most of skill in the marketThe use cost of art scheme is high, while also the complex routine for being unfavorable for those skilled in the art changes parameter etc. to algorithm stepsOperation setting.
Summary of the invention
That the technical problem to be solved in the present invention is to provide a kind of detection recognition speeds is fast, recognition accuracy is high, identification summarizesThe size detection recognition methods for the strip workpiece of multi-group data convenient working personnel being adjusted flexibly in time.
In order to solve the above-mentioned technical problem, the present invention adopts the following technical scheme: a kind of size detection of strip workpieceRecognition methods includes the following steps, step 1: carrying out Image Acquisition to workpiece;
Step 2: line detection algorithm and spot detection algorithm identification positioning workpiece being carried out to the image of acquisition and identification measuresWorkpiece length;
Step 3: the Workpiece length of identification measurement being judged, if the Workpiece length of identification measurement is in preset standard value toleranceQualification is then recorded in range, is recorded if the Workpiece length that identification measures is not in the preset standard value margin of tolerance unqualified;
Step 4: by the total number information of identification measurement workpiece, the total number information for judging qualification number, judging the total of unqualified numberNumber information and corresponding workpiece identification measurement length information are converted to the output of readable data information.
Preferably, readable data information is transmitted to computer in the step 4 and leads into data form.
Preferably, readable data information is transmitted to display in the step 4, display shows recognition detection workpieceSum, total, the unqualified workpiece sum of qualified workpiece and the length value of corresponding each workpiece calibration.
Preferably, readable data information is transmitted to pickup station in the step 4, picking up station will be deemed as not conforming toThe workpiece of lattice is picked up out.
Preferably, the tight shot of 16 to 35 millimeters of the industrial camera collocation of 80 to 2,000,000 pixels is used in the step 1It is shot, carries out the shooting of backlight illumination assistant images using planar light source, multiple images are shot to a workpiece and are then carried outMerging obtains final completion workpiece image, and wherein the horizontal interval distance between planar light source and workpiece is 60 to 180 millimeters,Horizontal interval distance between tight shot and workpiece is 200 to 320 millimeters.
Preferably, the tight shot of 25 millimeters of industrial camera collocation in the step 1 using 1,300,000 pixels is clappedIt takes the photograph, carries out the shooting of backlight illumination assistant images using planar light source, multiple images are shot to a workpiece and then are mergedTo final completion workpiece image, wherein between planar light source and workpiece horizontal interval distance be 100 millimeters, tight shot withHorizontal interval distance between workpiece is 250 millimeters.
Preferably, it is swept in the step 1 using the line that the line of 1024 to 2048 resolution ratio sweeps 30 to 80 millimeters of camera collocationCamera lens is shot, and carries out the shooting of backlight illumination assistant images using planar light source, wherein the water between planar light source and workpieceFlat spacing distance is 120 to 250 millimeters, and it is 300 to 450 millimeters that line, which sweeps the distance of the horizontal interval between camera lens and workpiece,.
Preferably, camera lens is swept using the line that the line of 2048 resolution ratio sweeps 60 millimeters of camera collocation in the step 1 to be clappedIt takes the photograph, carries out the shooting of backlight illumination assistant images using planar light source, wherein the horizontal interval distance between planar light source and workpieceIt is 162 millimeters, it is 332 millimeters that line, which sweeps the distance of the horizontal interval between camera lens and workpiece,.
The beneficial effects of the present invention are: a kind of size detection recognition methods of strip workpiece is provided, is actually being answeredIn, there are two types of Image Acquisition modes for the technical program design, the first is 25 milli of industrial camera collocation using 1,300,000 pixelsThe tight shot of rice is shot, and is carried out the shooting of backlight illumination assistant images using planar light source, is shot multiple to a workpieceThen image merges to obtain final completion workpiece image, the Image Acquisition that this kind of mode is completed needs to carry out image mosaicSynthesis step, according to the increase of splicing picture, detection accuracy can also increase therewith.Second of line using 2048 resolution ratio sweeps phaseThe line of 60 millimeters of machine collocation is swept camera lens and is shot, and planar light source is used to carry out the shooting of backlight illumination assistant images, this kind of modeThe Image Acquisition of progress facilitates detection accuracy also stable.Both the above mode can reach high-accuracy detection can be according to practical needFlexible setting is wanted, the present invention carries out a variety of data acquisitions to the image of acquisition and summarizes, greatly to facilitate subsequent job needs,Summary information, which can transport, simultaneously leads into table to computer and allows the very clear processing situation of operating personnel, convenient for according to circumstances rapidlyThe operation such as processing scheme is modified, operating efficiency is improved.
Detailed description of the invention
Fig. 1 is the positional structure schematic diagram of industrial camera, tight shot, planar light source and workpiece in the present invention.
Fig. 2 is that middle line of the present invention sweeps camera, line sweeps camera lens, the positional structure schematic diagram of planar light source and workpiece.
Fig. 3 is the detection contrast schematic diagram of workpiece in the present invention.
Specific embodiment
For the ease of the understanding of those skilled in the art, below with reference to embodiment, the present invention is further illustrated, realThe content that the mode of applying refers to not is limitation of the invention.
As shown in Figure 1 to Figure 3, a kind of size detection recognition methods of strip workpiece, includes the following steps, step 1: rightWorkpiece 1 carries out Image Acquisition, is shot, is used using the tight shot 4 of 25 millimeters of the collocation of industrial camera 3 of 1,300,000 pixelsPlanar light source 2 carries out the shooting of backlight illumination assistant images, shoots multiple images to a workpiece 1 and then merges to obtain finally1 image of completion workpiece, wherein the horizontal interval distance between planar light source 2 and workpiece 1 is 100 millimeters, tight shot 4 and workHorizontal interval distance between part 1 is 250 millimeters, or is swept arrange in pairs or groups 60 millimeters of the line of camera 5 using the line of 2048 resolution ratio and sweptCamera lens 6 is shot, and the shooting of backlight illumination assistant images is carried out using planar light source 2, wherein between planar light source 2 and workpiece 1Horizontal interval distance be 162 millimeters, line sweeps the distance of the horizontal interval between camera lens 6 and workpiece 1 as 332 millimeters;
Step 2: line detection algorithm and spot detection algorithm identification positioning workpiece 1 being carried out to the image of acquisition and identification measures1 length of workpiece;
Step 3: 1 length of workpiece of identification measurement being judged, if 1 length of workpiece of identification measurement is public in preset standard valueQualification is then recorded in poor range, records and does not conform to if 1 length of workpiece that identification measures is not in the preset standard value margin of toleranceLattice;
Step 4: by the total number information of identification measurement workpiece 1, the total number information for judging qualification number, judging the total of unqualified numberNumber information and the identification measurement length information of corresponding workpiece 1 are converted to the output of readable data information, are transmitted to computer and leadAt data form, be transmitted to display, display show the sum of recognition detection workpiece 1, qualified workpiece 1 it is total, unqualifiedThe length value that 1 sum of workpiece and corresponding each workpiece 1 measure, is transmitted to pickup station, and picking up station will be deemed as not conforming toThe workpiece 1 of lattice is picked up out.
The size detection recognition methods of the strip workpiece of the present embodiment, in practical applications, the technical program design haveTwo kinds of Image Acquisition modes, the first is clapped using the tight shot 4 of 25 millimeters of the collocation of industrial camera 3 of 1,300,000 pixelsIt takes the photograph, carries out the shooting of backlight illumination assistant images using planar light source 2, multiple images are shot to a workpiece 1 and are then mergedFinal 1 image of completion workpiece is obtained, the Image Acquisition that this kind of mode is completed needs to carry out image mosaic synthesis step, according to spellingThe increase of map interlinking piece, detection accuracy can also increase therewith.Second of line using 2048 resolution ratio sweeps camera 5 and arranges in pairs or groups 60 millimetersLine is swept camera lens 6 and is shot, and carries out the shooting of backlight illumination assistant images using planar light source 2, the image that this kind of mode carries out is adoptedCollection facilitates detection accuracy also stable.Both the above mode can reach high-accuracy detection can flexible setting according to actual needs,The present invention carries out a variety of data acquisitions to the image of acquisition and summarizes, and greatly to facilitate subsequent job needs, while summarizing letterBreath, which can transport, leads into table to computer and allows the very clear processing situation of operating personnel, convenient for according to circumstances modifying rapidly plusThe operation such as work scheme, improves operating efficiency.
In addition, being used for description purposes only if any term " first ", " second ", it is not understood to indicate or imply relatively heavyThe property wanted or the quantity for implicitly indicating technical characteristic." first " is defined as a result, " second " feature can be expressed or implicit includeOne or more this feature, in the present description, " several " are meant that two or more, unless otherwise clearly havingThe restriction of body.
In the present invention, except as otherwise clear stipulaties and restriction, should make if any term " assembling ", " connected ", " connection " termBroad sense goes to understand, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected;It is also possible to mechanical connectIt connects;It can be directly connected, be also possible to be connected by intermediary, can be and be connected inside two elements.For abilityFor the those of ordinary skill of domain, the concrete meaning of above-mentioned term in the present invention can be understood as the case may be.
Several embodiments of the invention above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneouslyLimitations on the scope of the patent of the present invention therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the artFor, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the inventionProtect range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.

Claims (8)

CN201910101503.0A2019-02-012019-02-01The size detection recognition methods of strip workpiecePendingCN109596054A (en)

Priority Applications (1)

Application NumberPriority DateFiling DateTitle
CN201910101503.0ACN109596054A (en)2019-02-012019-02-01The size detection recognition methods of strip workpiece

Applications Claiming Priority (1)

Application NumberPriority DateFiling DateTitle
CN201910101503.0ACN109596054A (en)2019-02-012019-02-01The size detection recognition methods of strip workpiece

Publications (1)

Publication NumberPublication Date
CN109596054Atrue CN109596054A (en)2019-04-09

Family

ID=65967178

Family Applications (1)

Application NumberTitlePriority DateFiling Date
CN201910101503.0APendingCN109596054A (en)2019-02-012019-02-01The size detection recognition methods of strip workpiece

Country Status (1)

CountryLink
CN (1)CN109596054A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN110082356A (en)*2019-04-202019-08-02东莞中科蓝海智能视觉科技有限公司The visible detection method and device of wire surface defect
CN110097540A (en)*2019-04-202019-08-06东莞中科蓝海智能视觉科技有限公司The visible detection method and device of polygon workpeace
CN110108724A (en)*2019-04-202019-08-09东莞中科蓝海智能视觉科技有限公司Strip-shaped workpiece visual detection system
CN110595362A (en)*2019-09-292019-12-20上海交通大学 A visual recognition-based sealing strip size detection device and method
CN115445953A (en)*2022-06-282022-12-09中机智能装备创新研究院(宁波)有限公司Oil pipe good product detection method and detection device
CN117170331A (en)*2023-10-162023-12-05广东煜丰实业(集团)有限公司 A method and system for distributed integrated control of door panel production

Citations (8)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN102901737A (en)*2011-07-272013-01-30何忠亮Automatic optical detection method
CN203163693U (en)*2013-04-012013-08-28江苏科思机电工程有限公司Workpiece specification automatic detection machine
CN103743748A (en)*2013-12-312014-04-23江苏大学Rapid and low-cost machine vision online detection system
CN104601766A (en)*2015-02-282015-05-06南京工程学院Smart phone with length measuring function and measuring method thereof
CN105976669A (en)*2016-07-152016-09-28黄力Modular production training system
CN107014821A (en)*2017-02-282017-08-04深圳市维图视技术有限公司A kind of plastics valve bag detecting system and method
CN108665497A (en)*2017-03-292018-10-16上海拆名晃信息科技有限公司A kind of image recognition localization method for virtual reality
CN109211110A (en)*2018-09-182019-01-15佛山科学技术学院A kind of flat-type workpiece size detection system and method based on machine vision

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN102901737A (en)*2011-07-272013-01-30何忠亮Automatic optical detection method
CN203163693U (en)*2013-04-012013-08-28江苏科思机电工程有限公司Workpiece specification automatic detection machine
CN103743748A (en)*2013-12-312014-04-23江苏大学Rapid and low-cost machine vision online detection system
CN104601766A (en)*2015-02-282015-05-06南京工程学院Smart phone with length measuring function and measuring method thereof
CN105976669A (en)*2016-07-152016-09-28黄力Modular production training system
CN107014821A (en)*2017-02-282017-08-04深圳市维图视技术有限公司A kind of plastics valve bag detecting system and method
CN108665497A (en)*2017-03-292018-10-16上海拆名晃信息科技有限公司A kind of image recognition localization method for virtual reality
CN109211110A (en)*2018-09-182019-01-15佛山科学技术学院A kind of flat-type workpiece size detection system and method based on machine vision

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
霍磊 等: "《基于分布式图像处理技术钢卷尺检定系统的研制》", 《精密制造与自动化》*

Cited By (7)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN110082356A (en)*2019-04-202019-08-02东莞中科蓝海智能视觉科技有限公司The visible detection method and device of wire surface defect
CN110097540A (en)*2019-04-202019-08-06东莞中科蓝海智能视觉科技有限公司The visible detection method and device of polygon workpeace
CN110108724A (en)*2019-04-202019-08-09东莞中科蓝海智能视觉科技有限公司Strip-shaped workpiece visual detection system
CN110595362A (en)*2019-09-292019-12-20上海交通大学 A visual recognition-based sealing strip size detection device and method
CN115445953A (en)*2022-06-282022-12-09中机智能装备创新研究院(宁波)有限公司Oil pipe good product detection method and detection device
CN115445953B (en)*2022-06-282024-04-05中国机械总院集团宁波智能机床研究院有限公司Good product detection method and detection device for oil pipe
CN117170331A (en)*2023-10-162023-12-05广东煜丰实业(集团)有限公司 A method and system for distributed integrated control of door panel production

Similar Documents

PublicationPublication DateTitle
CN109596054A (en)The size detection recognition methods of strip workpiece
CN104749184B (en)Automatic optical detection method and system
CN110428762B (en)OLED panel aging test luminescence characteristic detection method based on pixel brightness
CN110108711A (en)Visual inspection system for defects of side wall of circular ring
CN102589516B (en)Dynamic distance measuring system based on binocular line scan cameras
CN101858768B (en) Device and method for detecting liquid level after beverage filling
CN117115610A (en) Metal surface defect detection method and system based on multi-angle image exposure fusion
CN109819245B (en)On-line measuring method and device for chroma and brightness data based on AOI platform
CN110991360B (en)Robot inspection point position intelligent configuration method based on visual algorithm
CN107024476A (en)Display panel detecting system and its detection means and detection method
CN105574845A (en)Cigarette pack lamination layer number measurement method and device by multi-camera array
CN109813223A (en) Device and method for optically detecting two adjacent surfaces of an object at the same time
CN108805870A (en)A kind of detection method of the connector with needle stand
CN106524955A (en)Plane equal thickness interference digital display measurement device and method of measuring optical flat flatness
CN110097540A (en)The visible detection method and device of polygon workpeace
CN109632814A (en)Part defect detection method
CN104749801B (en)High Precision Automatic optical detecting method and system
CN114453280A (en)Display panel defect detection method
CN108986721A (en)A kind of test pattern generation method for display panel detection
CN110044266B (en)Photogrammetry system based on speckle projection
CN108195847A (en)A kind of relief pattern Online Video detection device and its detection method
CN109596625A (en)Workpiece, defect detection recognition method in charging tray
CN106384086A (en)Dual-camera face identification method and system
CN109631763A (en)Irregular part detection and positioning method
CN210102906U (en)Automatic identification grabbing device of miniaturized electric capacity

Legal Events

DateCodeTitleDescription
PB01Publication
PB01Publication
SE01Entry into force of request for substantive examination
SE01Entry into force of request for substantive examination
TA01Transfer of patent application right
TA01Transfer of patent application right

Effective date of registration:20190920

Address after:528000 Room 409, 4-storey, Fengshou Street, Chao'an South Road, Zumiao Street, Chancheng District, Foshan City, Guangdong Province

Applicant after:Zhongke Fenghai (Foshan) Intelligent Technology Co., Ltd.

Address before:Room 301, Unit 2, Building No. 10, Science and Technology Second Road, Songshan Lake Park, Dongguan City, Guangdong Province

Applicant before:Dongguan Zhongke blue sea Intelligent Vision Technology Co., Ltd.

WD01Invention patent application deemed withdrawn after publication
WD01Invention patent application deemed withdrawn after publication

Application publication date:20190409


[8]ページ先頭

©2009-2025 Movatter.jp