CN104237252A - Machine-vision-based method and device for intelligently detecting surface micro-defects of product - Google Patents
Machine-vision-based method and device for intelligently detecting surface micro-defects of product Download PDFInfo
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- CN104237252A CN104237252A CN201410499360.0A CN201410499360A CN104237252A CN 104237252 A CN104237252 A CN 104237252A CN 201410499360 A CN201410499360 A CN 201410499360A CN 104237252 A CN104237252 A CN 104237252A
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Abstract
The invention discloses a machine-vision-based method and a machine-vision-based device for intelligently detecting surface micro-defects of a product. The device comprises a first conveying belt, a second conveying belt, a third conveying belt and a conveying belt driving device, wherein the conveying belt driving device is controlled by a PLC (Programmable Logic Control) system; photoelectric sensors are correspondingly arranged on both sides of the three conveying belts; a coaxial light source and a camera A are arranged on the second conveying belt; the camera A is connected with an image acquisition card, an industrial personal computer, a DAQ (Data Acquisition) card and the PLC system; a non-uniform light source composed of a grating and a parallel light source is arranged above the third conveying belt; a camera B is arranged above the side of the third conveying belt and connected with the image acquisition card; a servo motor of the parallel light source is connected with the PLC system; a defective product elimination unit is arranged at the side edge of the tail of the third conveying belt. By the cooperation of two stations, fine defects can be detected efficiently and accurately, and particularly, the effect of detecting the surface defects of mirror-surface-like products through the grating and the non-uniform light source at the second station is excellent.
Description
Technical field
The present invention relates to machine vision automatically to detect, particularly relate to a kind of machine vision product surface microdefect intelligent detecting method and device thereof.
Background technology
Along with the development of computer technology and automatic technology, machine vision, as a kind of emerging intelligent detecting method, through the development of many decades, is applied rapidly in the every field such as industrial, agriculture and promotes.Vision-based detection can the function of Substitute For Partial human eye and brain, and can carry out automatic identification and analysis to handling object, be modern industry robotization, intelligentized forward position solution.Machine vision applications detects in product defects, has efficient, stable, can the advantage of promptly defect recognition, and can avoid the fatigue of manual detection and the impact of subjective emotion factor.
Due to the uncertain factor of quality control during production, product surface usually produces various defect, and wherein large defect has had effective avoiding method or detection method aborning, and the detection of fine defects is then compared and is difficult to solve.For the detection of the class minute surface product surface fine defects such as glass, plastics, metal works, because object has high reflective, its testing result often poor effect.
Summary of the invention
The object of the invention is to the shortcoming and defect overcoming above-mentioned prior art, a kind of machine vision product surface microdefect intelligent detecting method and device thereof are provided.Can carry out online for product surface fine defects, in real time, automatically, detection and indentification intelligently, realize the classification of substandard products and certified products.
The present invention is achieved through the following technical solutions:
A kind of machine vision product surface microdefect intelligent detection device, comprise the first travelling belt 2, second travelling belt 3 and the 3rd travelling belt 4 and conveyor drive arrangement, conveyor drive arrangement is controlled by PLC control system 5; The both sides of the first travelling belt 2, second travelling belt 3 and the 3rd travelling belt 4 respectively correspondence are provided with photoelectric sensor 16,17,18;
Described second travelling belt 3 is put and is provided with coaxial light source 6, A camera 7 successively; A camera 7 connects image pick-up card 8, industrial computer 11, DAQ data collecting card 14, PLC control system 5 successively;
The top of the 3rd travelling belt 4 is provided with the non-homogeneous light source be made up of grating 9, parallel light source 10, B camera 12 is provided with above the side of the 3rd travelling belt 4, described B camera 12 is connected with image pick-up card 8, and the servomotor 13 on parallel light source 10 connects PLC control system 5;
The afterbody side of the 3rd travelling belt 4 is provided with bad part eject unit 15.
Adopt the method for microdefect intelligent detection device testing product surface, above-mentioned machine vision product surface microdefect as follows:
Product 1 is transported to the second travelling belt 3, first illumination is implemented by coaxial light source 6 pairs of product 1 surfaces, when product 1 arrives camera fields of view position, photoelectric sensor obtains trigger pip, and be delivered to the hardware trigger that A camera 7 carries out camera and take pictures, and the image collected is transferred to industrial computer 11 by image pick-up card 8, identify defective product by industrial computer 11, and by signal transmission to bad part eject unit 15, by bad part eject unit 15 by bad part eject.
Product 1 is transported to the 3rd travelling belt 4, and by grating 9, the non-homogeneous light source that parallel light source 10 is formed implements illumination to product 1 surface, when product 1 arrives B camera 12 position, the visual field, photoelectric sensor obtains trigger pip, now by PLC control system, the 3rd travelling belt 4 is stopped, servomotor 13 controls non-homogeneous light source back and forth movement simultaneously, light and shade move of stripe is scanned whole by scanning product surface, PLC control system is to industrial computer 11 signal simultaneously, make the image of this product surface same position of B camera 12 continuous acquisition, obtain one or more bright serial picture adding the cycle that dark fringe is formed of a set product surface light and shade move of stripe, afterwards this serial picture is synthesized final Target Photo, by bad part eject unit by bad part eject.
The present invention, relative to prior art, has following advantage and effect:
The present invention can solve product surface microdefect online, detect in real time, and the rejecting of substandard products can be carried out.
The present invention is good to product surface microdefect Detection results, checked on by the cooperation of two stations (region of the second travelling belt 3 and the 3rd travelling belt 4), efficient, high-precisionly can detect trickle defect, especially the Detection results of the non-homogeneous light source be made up of grating 9, parallel light source 10 to class minute surface surface defects of products of station two (region of the 3rd travelling belt 4) is splendid.
Accompanying drawing explanation
Fig. 1 is machine vision product of the present invention surface microdefect intelligent detection device, side schematic view.
Fig. 2 is machine vision product of the present invention surface microdefect intelligent detection device, another side schematic diagram.
Embodiment
Below in conjunction with specific embodiment, the present invention is more specifically described in detail.
Embodiment
As shown in Figure 1, 2.Machine vision product surface of the present invention microdefect intelligent detection device, comprise the first travelling belt 2, second travelling belt 3 and the 3rd travelling belt 4 and conveyor drive arrangement, conveyor drive arrangement is controlled by PLC control system 5; It is characterized in that: the both sides of the first travelling belt 2, second travelling belt 3 and the 3rd travelling belt 4 respectively correspondence are provided with photoelectric sensor 16,17,18;
Described second travelling belt 3 is put and is provided with coaxial light source 6, A camera 7 successively; A camera 7 connects image pick-up card 8, industrial computer 11, DAQ data collecting card 14, PLC control system 5 successively;
The top of the 3rd travelling belt 4 is provided with the non-homogeneous light source be made up of grating 9, parallel light source 10, B camera 12 is provided with above the side of the 3rd travelling belt 4, described B camera 12 is connected with image pick-up card 8, and the servomotor 13 on parallel light source 10 connects PLC control system 5;
The afterbody side of the 3rd travelling belt 4 is provided with bad part eject unit 15.
PLC control system 5 for receiving the signal of photoelectric sensor 16,17,18, for controlling the start and stop of the first travelling belt 2, second travelling belt 3, the 3rd travelling belt 4, and grating 9, parallel light source 10 reciprocate the action with bad part eject unit 15.PLC control system 5 is also responsible for the communication with DAQ data collecting card 14.
As follows by the method for said apparatus testing product surface microdefect:
Product 1 is transported to the second travelling belt 3, first illumination is implemented by coaxial light source 6 pairs of product 1 surfaces, when product 1 arrives camera fields of view position, photoelectric sensor obtains trigger pip, and be delivered to the hardware trigger that A camera 7 carries out camera and take pictures, and the image collected is transferred to industrial computer 11 by image pick-up card 8, identify defective product by industrial computer 11, and by signal transmission to bad part eject unit 15, by bad part eject unit 15 by bad part eject.
Product 1 is transported to the 3rd travelling belt 4, and by grating 9, the non-homogeneous light source that parallel light source 10 is formed implements illumination to product 1 surface, when product 1 arrives B camera 12 position, the visual field, photoelectric sensor obtains trigger pip, now by PLC control system, the 3rd travelling belt 4 is stopped, servomotor 13 controls non-homogeneous light source back and forth movement (producing the non-homogeneous light source of light and shade striped) simultaneously, light and shade move of stripe is scanned whole by scanning product surface, PLC control system is to industrial computer 11 signal simultaneously, make the image of this product surface same position of B camera 12 continuous acquisition, obtain one or more bright serial picture adding the cycle that dark fringe is formed of a set product surface light and shade move of stripe, afterwards this serial picture is synthesized final Target Photo, by bad part eject unit by bad part eject.
This Target Photo, due to the feature of light refraction and catoptric imaging, makes the fine defects of class mirror article surface be highlighted, is easy to image procossing and identification, to defective product, by bad part eject unit 15 by bad part eject.
As mentioned above, just the present invention can be realized preferably.
Embodiments of the present invention are not restricted to the described embodiments; other are any do not deviate from Spirit Essence of the present invention and principle under do change, modification, substitute, combine, simplify; all should be the substitute mode of equivalence, be included within protection scope of the present invention.
Claims (3)
1. a machine vision product surface microdefect intelligent detection device, comprise the first travelling belt, the second travelling belt and the 3rd travelling belt and conveyor drive arrangement, conveyor drive arrangement is controlled by PLC control system; It is characterized in that: the both sides of the first travelling belt, the second travelling belt and the 3rd travelling belt respectively correspondence are provided with photoelectric sensor;
Described second travelling belt is put and is provided with coaxial light source, A camera successively; A camera connects image pick-up card, industrial computer, DAQ data collecting card, PLC control system successively;
The top of the 3rd travelling belt is provided with the non-homogeneous light source be made up of grating, parallel light source, is provided with B camera above the side of the 3rd travelling belt, and described B camera is connected with image pick-up card, and the servomotor on parallel light source connects PLC control system;
The afterbody side of the 3rd travelling belt is provided with bad part eject unit.
2. adopt the method for machine vision product surface microdefect intelligent detection device testing product surface microdefect described in claim 1, it is characterized in that following steps:
Product is transported to the second travelling belt, first by coaxial light source, illumination is implemented to product surface, when product arrives camera fields of view position, photoelectric sensor obtains trigger pip, and be delivered to the hardware trigger that A camera carries out camera and take pictures, and the image collected is transferred to industrial computer by image pick-up card, identify defective product by industrial computer, and by signal transmission to bad part eject unit, by bad part eject unit by bad part eject.
3. method according to claim 2, is characterized in that:
Product is transported to the 3rd travelling belt, and by grating, the non-homogeneous light source that parallel light source is formed implements illumination to product surface, when product arrives B camera fields of view position, photoelectric sensor obtains trigger pip, now by PLC control system, the 3rd travelling belt is stopped, Serve Motor Control non-homogeneous light source back and forth movement simultaneously, light and shade move of stripe is scanned whole by scanning product surface, PLC control system is to industrial computer signal simultaneously, make the image of this product surface same position of B camera continuous acquisition, obtain one or more bright serial picture adding the cycle that dark fringe is formed of a set product surface light and shade move of stripe, afterwards this serial picture is synthesized final Target Photo, by bad part eject unit by bad part eject.
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| CN104614375A (en) * | 2015-01-16 | 2015-05-13 | 郑州轻工业学院 | Nondestructive testing system for multi-layer food wrappage |
| CN104807832A (en) * | 2015-04-28 | 2015-07-29 | 华中科技大学无锡研究院 | Automatic fine inspection production line of silicon ingot |
| CN105067639A (en) * | 2015-07-20 | 2015-11-18 | 丹阳市精通眼镜技术创新服务中心有限公司 | Device and method for automatically detecting lens defects through modulation by optical grating |
| CN105388163A (en) * | 2015-10-28 | 2016-03-09 | 佛山市南海区广工大数控装备协同创新研究院 | Intelligent detection system for surface defects of ceramic tiles |
| CN105783725A (en) * | 2016-04-29 | 2016-07-20 | 江苏理工学院 | Spinning machine steel ring precision detecting device based on multi-view machine vision and detecting method thereof |
| CN105855181A (en) * | 2015-01-21 | 2016-08-17 | 苏州兰叶光电科技有限公司 | Optical detection system for LED package precision support appearance quality |
| CN105890913A (en) * | 2016-05-30 | 2016-08-24 | 清华大学苏州汽车研究院（相城） | Stroke-variable trolley return photoelectric detection mechanism and collision simulation trolley device |
| CN106248686A (en) * | 2016-07-01 | 2016-12-21 | 广东技术师范学院 | Glass surface defects based on machine vision detection device and method |
| CN106483140A (en) * | 2016-12-12 | 2017-03-08 | 盐城工学院 | Temperature controller testing equipment and temperature controller detection production line |
| CN106881281A (en) * | 2017-02-22 | 2017-06-23 | 上海理工大学 | A kind of automatic sorting device and system |
| CN107063426A (en) * | 2017-06-15 | 2017-08-18 | 东莞市众大机械实业有限公司 | A kind of Full-automatic electronic scale detection device |
| CN107229291A (en) * | 2017-06-14 | 2017-10-03 | 苏州西斯派克检测科技有限公司 | A kind of synchronous method of online vision positioning system |
| CN108037135A (en) * | 2018-01-15 | 2018-05-15 | 佛山职业技术学院 | A kind of magnet ring surface defect detection apparatus and method |
| CN108387590A (en) * | 2018-03-15 | 2018-08-10 | 福州大学 | A kind of low module stem gear appearance defect detection device |
| CN108593665A (en) * | 2018-07-10 | 2018-09-28 | 青岛元启智能机器人科技有限公司 | A kind of remote controler CCD vision inspection apparatus |
| CN108827976A (en) * | 2018-05-21 | 2018-11-16 | 德清炬诚电子科技有限公司 | A kind of amenities stain vision detection system |
| CN109557101A (en) * | 2018-12-29 | 2019-04-02 | 桂林电子科技大学 | A kind of defect detecting device and method of nonstandard high reflection curve surface work pieces |
| CN110201905A (en) * | 2019-06-27 | 2019-09-06 | 福建省永安轴承有限责任公司 | A kind of end surface of bearing ring on-line detection device of defects |
| CN110243831A (en) * | 2019-06-06 | 2019-09-17 | 锐捷网络股份有限公司 | Surface defect acquisition system, detection method of surface flaw, device and storage medium |
| CN110261390A (en) * | 2019-06-13 | 2019-09-20 | 深圳市智能机器人研究院 | A kind of the surface defect Systems for optical inspection and method of diffusing reflection structure light |
| CN110335272A (en) * | 2019-07-12 | 2019-10-15 | 创新奇智(广州)科技有限公司 | A kind of metal device intelligence quality inspection apparatus control system, method and electronic equipment based on machine vision |
| CN110579485A (en) * | 2019-09-30 | 2019-12-17 | 华南理工大学 | device and method for rapidly detecting surface defects of glass cover plate of smart phone |
| CN110823912A (en) * | 2019-11-27 | 2020-02-21 | 长沙理工大学 | Ceramic ring coating defect detection system and detection method based on machine vision |
| CN110839100A (en) * | 2019-11-18 | 2020-02-25 | 东莞智得电子制品有限公司 | Mobile phone key detection method and system |
| CN111024722A (en) * | 2019-12-31 | 2020-04-17 | 芜湖哈特机器人产业技术研究院有限公司 | Data fusion-based wood defect detection system and method |
| CN112730431A (en) * | 2020-12-23 | 2021-04-30 | 上海兰钧新能源科技有限公司 | Visual detection device and method and lithium battery production system |
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| CN104614375A (en) * | 2015-01-16 | 2015-05-13 | 郑州轻工业学院 | Nondestructive testing system for multi-layer food wrappage |
| CN104614375B (en) * | 2015-01-16 | 2017-05-17 | 郑州轻工业学院 | Nondestructive testing system for multi-layer food wrappage |
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| CN105388163A (en) * | 2015-10-28 | 2016-03-09 | 佛山市南海区广工大数控装备协同创新研究院 | Intelligent detection system for surface defects of ceramic tiles |
| CN105783725A (en) * | 2016-04-29 | 2016-07-20 | 江苏理工学院 | Spinning machine steel ring precision detecting device based on multi-view machine vision and detecting method thereof |
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| CN106248686A (en) * | 2016-07-01 | 2016-12-21 | 广东技术师范学院 | Glass surface defects based on machine vision detection device and method |
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| CN108037135A (en) * | 2018-01-15 | 2018-05-15 | 佛山职业技术学院 | A kind of magnet ring surface defect detection apparatus and method |
| CN108387590A (en) * | 2018-03-15 | 2018-08-10 | 福州大学 | A kind of low module stem gear appearance defect detection device |
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| CN109557101A (en) * | 2018-12-29 | 2019-04-02 | 桂林电子科技大学 | A kind of defect detecting device and method of nonstandard high reflection curve surface work pieces |
| CN109557101B (en) * | 2018-12-29 | 2023-11-17 | 桂林电子科技大学 | Defect detection device and method for non-elevation reflective curved surface workpiece |
| CN110243831B (en) * | 2019-06-06 | 2022-02-15 | 锐捷网络股份有限公司 | Surface defect acquisition system, surface defect detection method, surface defect detection device and storage medium |
| CN110243831A (en) * | 2019-06-06 | 2019-09-17 | 锐捷网络股份有限公司 | Surface defect acquisition system, detection method of surface flaw, device and storage medium |
| CN110261390A (en) * | 2019-06-13 | 2019-09-20 | 深圳市智能机器人研究院 | A kind of the surface defect Systems for optical inspection and method of diffusing reflection structure light |
| CN110201905A (en) * | 2019-06-27 | 2019-09-06 | 福建省永安轴承有限责任公司 | A kind of end surface of bearing ring on-line detection device of defects |
| CN110335272A (en) * | 2019-07-12 | 2019-10-15 | 创新奇智(广州)科技有限公司 | A kind of metal device intelligence quality inspection apparatus control system, method and electronic equipment based on machine vision |
| CN110579485A (en) * | 2019-09-30 | 2019-12-17 | 华南理工大学 | device and method for rapidly detecting surface defects of glass cover plate of smart phone |
| CN110579485B (en) * | 2019-09-30 | 2023-11-14 | 华南理工大学 | Device and method for rapidly detecting surface defects of glass cover plate of smart phone |
| CN110839100A (en) * | 2019-11-18 | 2020-02-25 | 东莞智得电子制品有限公司 | Mobile phone key detection method and system |
| CN110823912A (en) * | 2019-11-27 | 2020-02-21 | 长沙理工大学 | Ceramic ring coating defect detection system and detection method based on machine vision |
| CN111024722A (en) * | 2019-12-31 | 2020-04-17 | 芜湖哈特机器人产业技术研究院有限公司 | Data fusion-based wood defect detection system and method |
| CN112730431A (en) * | 2020-12-23 | 2021-04-30 | 上海兰钧新能源科技有限公司 | Visual detection device and method and lithium battery production system |
| CN112815991A (en) * | 2020-12-31 | 2021-05-18 | 协讯电子（吉安）有限公司 | Laser visual positioning detection system |
| CN113125461A (en) * | 2021-04-21 | 2021-07-16 | 博众精工科技股份有限公司 | Detection device and detection method |
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