CN109142375A - A kind of high accuracy vision detection system and method for target - Google Patents

A kind of high accuracy vision detection system and method for target Download PDF

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Publication number
CN109142375A
CN109142375A CN201810947776.2A CN201810947776A CN109142375A CN 109142375 A CN109142375 A CN 109142375A CN 201810947776 A CN201810947776 A CN 201810947776A CN 109142375 A CN109142375 A CN 109142375A
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China
Prior art keywords
measured
light source
target
workpiece surface
target workpiece
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CN201810947776.2A
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Chinese (zh)
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温志庆
张鼎
张宝
黄俊泽
王莹
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Ningbo Institute Of Intelligent Manufacturing Industry
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Ningbo Institute Of Intelligent Manufacturing Industry
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Priority to CN201810947776.2A priority Critical patent/CN109142375A/en
Publication of CN109142375A publication Critical patent/CN109142375A/en
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    • 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
    • G01N21/8806Specially adapted optical and illumination features
    • 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
    • G01N21/8806Specially adapted optical and illumination features
    • G01N2021/8822Dark field detection
    • G01N2021/8825Separate detection of dark field and bright field
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00Features of devices classified in G01N21/00
    • G01N2201/06Illumination; Optics
    • G01N2201/061Sources
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00Features of devices classified in G01N21/00
    • G01N2201/06Illumination; Optics
    • G01N2201/061Sources
    • G01N2201/06186Resistance heated; wire sources; lamelle sources

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  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The present invention relates to mechanical vision inspection technology field more particularly to a kind of high accuracy vision detection systems and method for target.The system includes industrial camera group, strip source and coaxial light source;Industrial camera group is perpendicular to target workpiece surface to be measured;Strip source and coaxial light source are arranged around target workpiece surface to be measured by a predetermined angle respectively;Strip source and the orthogonal setting of coaxial light source;The polishing direction of coaxial light source is perpendicular to along target workpiece surface radius to be measured.This method is the defects of alternately opening coaxial light source and strip source, detect knife mark, the scratch of target workpiece surface to be measured respectively.The present invention is capable of providing suitable illumination and method for polishing, interference caused by the target workpiece surface for overcoming reflectance high is reflective, the defects of accurately detecting target workpiece surface knife mark, scratch feature improves the accuracy of machine vision, and then improves production work efficiency.

Description

A kind of high accuracy vision detection system and method for target
Technical field
The present invention relates to mechanical vision inspection technology field more particularly to a kind of high-precision vision detection systems for target System and method.
Background technique
In industrial detection, traditional detection technique often relies on numerous detection workmans.Detection workman is needed by special Training, and a large amount of experience is accumulated, this causes certain manpower and time waste, detection efficiency lower, and due to worker's Difference, testing result have a certain difference, and are difficult to seek unity of standard.In recent years, with the fast development of machine vision, vision inspection It surveys and applies more and more extensive, the vision detection system and method for a high-precision, rapidity and robustness in field of industry detection It is of crucial importance in industrial detection.
The surface reflection degree of target workpiece is high, and target Surface Flaw feature difference compared with other parts is thin It is micro-, enough illuminations usually cannot be provided in micron dimension, conventional light source and method for polishing, cannot sufficiently reflect target workpiece Surface condition, after camera imaging, the defects of being unfavorable for accurate judgement target workpiece surface knife mark, scratch feature.
Therefore, how suitable illumination is provided and method for polishing, the target workpiece surface for overcoming reflectance high are anti- The defects of interfering caused by light, accurately detecting target workpiece surface knife mark, scratch feature, improves the accuracy of machine vision, And then production work efficiency is improved, become those skilled in the art's urgent problem to be solved.
Summary of the invention
In view of the drawbacks of the prior art or technical need, the purpose of the present invention is to provide a kind of high-precisions for target Vision detection system and method are capable of providing suitable illumination and method for polishing, overcome the target workpiece table that reflectance is high The defects of interfering caused by face is reflective, accurately detecting target workpiece surface knife mark, scratch feature, improves the accurate of machine vision Property, and then improve production work efficiency.
According to one aspect of the present invention, a kind of high accuracy vision detection system for target, including industry are provided Phase unit, strip source and coaxial light source;Industrial camera group is perpendicular to target workpiece surface to be measured;Strip source and coaxial light source It is arranged by a predetermined angle around target workpiece surface to be measured respectively;Strip source and the orthogonal setting of coaxial light source;Axis light The polishing direction in source is perpendicular to along target workpiece surface radius to be measured.
As it is further preferred that strip source is set as blue-light source, and strip source is equipped with polarizing coating.
As it is further preferred that coaxial light source is set as blue-light source.
As it is further preferred that strip source is set on target workpiece surface to be measured, and strip source with it is to be measured The predetermined angular of target workpiece surface is any angle between 30 ° to 45 °.
As it is further preferred that coaxial light source is set on target workpiece surface to be measured, and coaxial light source with it is to be measured The predetermined angular of target workpiece surface is 45 °.
As it is further preferred that industrial camera group includes an industrial camera, industrial camera is set to target work to be measured On part surface, image is acquired along target workpiece surface radius to be measured.
As it is further preferred that industrial camera group includes at least two industrial cameras, industrial camera is set to work to be measured On part surface, arranged in parallel is arranged, and the field angle between industrial camera has certain coincidence, and along target workpiece surface to be measured Radius acquires image, prevents missing inspection.
It is another aspect of this invention to provide that additionally providing corresponding detection method, comprising the following steps:
It is first turned on coaxial light source, after target workpiece surface image to be measured in industrial camera group acquisition current block, is closed Coaxial light source is closed, knife mark detection is carried out;
Then strip source is opened, industrial camera group acquires target workpiece surface image to be measured in same block, acquired At rear closing strip source, scratch detection is carried out;
Target workpiece to be measured is rotated, the Image Acquisition detection of next block is carried out, until completing entire target work to be measured The Image Acquisition on part surface detects.
As it is further preferred that in the above-mentioned methods, the sequence of polishing can exchange, it may be assumed that strip source first be opened, to work Industry phase unit acquires in current block after target workpiece surface image to be measured, closes strip source, carries out scratch detection;It opens again Coaxial light source, industrial camera group acquire target workpiece surface image to be measured in same block, close coaxial light source after the completion of acquisition, Carry out knife mark detection.
The combination of strip source and coaxial light source, overcome the high target workpiece surface of reflectance it is reflective caused by do The defects of disturbing, and then can accurately detecting target workpiece surface scratch, knife mark feature.Target workpiece surface to be measured is very smooth, The light of strip source is in mirror-reflection on its surface, so when target workpiece surface qualification no marking to be measured, industrial camera Group can obtain darker image;When target workpiece surface to be measured is there are when scratch, due at scratch with target workpiece surface to be measured There are difference in height, there is diffusing reflection at scratch in the light of strip source, so that scratch is in the image that industrial camera group acquires Show as " bright trace ".Polishing is tilted using strip source and the field range of industrial camera group is set to strip source scattering The mode of the lesser part of intensity of illumination out enriches target workpiece surface information to be measured, strengthens scratch defects feature, have Conducive to the accurate acquisition testing of industrial camera group.The light of coaxial light source is reflected into industrial phase by target workpiece surface to be measured Unit field range, when target workpiece surface qualification to be measured is without knife mark, phase chance obtains the image of uniform gray level variation;When to Target workpiece surface is surveyed there are when knife mark, since knife mark and target workpiece surface to be measured are there are difference in height, light goes out at knife mark Existing diffusing reflection, so that knife mark is shown as " bright wisp " in the image that industrial camera group acquires, image becomes fineless and smooth.Using coaxial Light source incline polishing, polishing direction are perpendicular to along target workpiece surface radius to be measured and setting the field range of industrial camera group It is placed in the mode for the biggish part of intensity of illumination that coaxial light source reflects, it is anti-to overcome the high target workpiece surface of reflectance It is interfered caused by light, enriches target workpiece surface information to be measured, highlighted the out-of-flatness of workpiece surface, strengthen knife mark defect Feature.
Using coaxial light source and strip source is alternately opened, knife mark, the scratch etc. of target workpiece surface to be measured are detected respectively The method of defect is conducive to the defect area range and its defect type of target workpiece surface clearly to be measured, is convenient for following process Corresponding adjustment is executed in manufacturing process.
Detailed description of the invention
Fig. 1 is the structural schematic diagram according to the present invention for the high accuracy vision detection system of target.
Fig. 2 is the work flow diagram according to the present invention for the high-precision vision detection method of target.
In figure: industrial camera group 1;Strip source 2;Coaxial light source 3;Polarizing coating 4;Target workpiece 5 to be measured.
Specific embodiment
Carry out more detailed description with reference to the accompanying drawing and by embodiment to the present invention, it should be understood that this place The specific embodiment of description only to explain the present invention, is not intended to restrict the invention.
It is the structural schematic diagram according to the present invention for the high accuracy vision detection system of target referring to Fig. 1, Fig. 1.
For the high accuracy vision detection system of target, including industrial camera group 1, strip source 2 and coaxial light source 3;Work Industry phase unit 1 is perpendicular to 5 surface of target workpiece to be measured;Strip source 2 and coaxial light source 3 surround target to be measured by a predetermined angle respectively The setting of 5 surface of material workpiece;Strip source 2 and the orthogonal setting of coaxial light source 3;The polishing direction of coaxial light source 3 is perpendicular to edge 5 surface radius of target workpiece to be measured.
Strip source 2 is set as blue-light source, and strip source 2 is equipped with polarizing coating 4.Strip source uses blue-light source, to It is obvious to survey target workpiece surface details, strengthens scratch defects.Polarizing coating on strip source makes strip light for filtering out veiling glare It is mainly directional light that source, which issues light,.
Coaxial light source 3 is set as blue-light source.Coaxial light source uses blue-light source, enriches target workpiece surface information to be measured, Strengthen knife mark defect.
Strip source 2 is set on 5 surface of target workpiece to be measured, and strip source 2 and 5 surface of target workpiece to be measured Predetermined angular is any angle between 30 ° to 45 °.In this angular range, using dark field polishing, i.e. industrial camera group Field range is in the lesser part of intensity of illumination that strip source scatters.Target workpiece surface to be measured is very smooth, strip light The light in source is in mirror-reflection on its surface, so industrial camera group can obtain when target workpiece surface qualification no marking to be measured Obtain darker image;It is high due to existing at scratch with target workpiece surface to be measured when target workpiece surface to be measured is there are when scratch It is poor to spend, and diffusing reflection occurs at scratch in the light of strip source, so that scratch is shown as in the image that industrial camera group acquires " bright trace ".Polishing is tilted using strip source and the field range of industrial camera group is set to the light that strip source scatters According to the mode of the lesser part of intensity, target workpiece surface information to be measured is enriched, scratch defects feature is strengthened, is conducive to work The accurate acquisition testing of industry phase unit.
Coaxial light source 3 is set on 5 surface of target workpiece to be measured, and coaxial light source 3 and 5 surface of target workpiece to be measured Predetermined angular is 45 °.In this angular range, using bright field polishing, i.e. the field range of industrial camera group is in coaxial The biggish part of the intensity of illumination that light source reflects.The light of coaxial light source is reflected into industry by target workpiece surface to be measured Phase unit field range, when target workpiece surface qualification to be measured is without knife mark, phase chance obtains the image of uniform gray level variation;When Target workpiece surface to be measured is there are when knife mark, and since there are differences in height with target workpiece surface to be measured for knife mark, light is at knife mark There is diffusing reflection, so that knife mark is shown as " bright wisp " in the image that industrial camera group acquires, image becomes fineless and smooth.Using same The polishing of axis light source incline, polishing direction are perpendicular to along target workpiece surface radius to be measured and by the field range of industrial camera group It is set to the mode for the biggish part of intensity of illumination that coaxial light source reflects, overcomes the high target workpiece surface of reflectance It is interfered caused by reflective, avoids " lamp picture " problem existing for strong mirror-reflection object, enrich target workpiece surface letter to be measured Breath, has highlighted the out-of-flatness of workpiece surface, has strengthened knife mark defect characteristic.
Industrial camera group 1 may include an industrial camera, and industrial camera is set on target workpiece surface to be measured, edge Target workpiece surface radius to be measured acquires image.
Industrial camera group 1 also may include at least two industrial cameras, and industrial camera is set on workpiece for measurement surface, Arranged in parallel is arranged, and the field angle between industrial camera has certain coincidence, and acquires figure along target workpiece surface radius to be measured Picture prevents missing inspection.
Referring to fig. 2, Fig. 2 is the work flow diagram according to the present invention for the high-precision vision detection method of target.
It is first turned on coaxial light source 3, after 5 surface image of target workpiece to be measured in the acquisition current block of industrial camera group 1, Coaxial light source 3 is closed, knife mark detection is carried out;
Then strip source 2 is opened, industrial camera group 1 acquires 5 surface image of target workpiece to be measured in same block, acquires Strip source 2 is closed after the completion, carries out scratch detection;
Target workpiece 5 to be measured is rotated, the Image Acquisition detection of next block is carried out, until completing entire target work to be measured The Image Acquisition on 5 surface of part detects.
In above-mentioned workflow, the sequence of polishing can be exchanged, it may be assumed that first opened strip source 2, adopted to industrial camera group 1 Collect in current block after 5 surface image of target workpiece to be measured, close strip source 2, carries out scratch detection;Coaxial light source is opened again 3, industrial camera group 1 acquires 5 surface image of target workpiece to be measured in same block, closes coaxial light source 3 after the completion of acquisition, carries out Knife mark detection.
Using coaxial light source and strip source is alternately opened, knife mark, the scratch etc. of target workpiece surface to be measured are detected respectively The method of defect is conducive to the defect area range and its defect type of target workpiece surface clearly to be measured, is convenient for following process Corresponding adjustment is executed in manufacturing process.
The above is only a preferred embodiment of the present invention, it is noted that come for those of ordinary skill in the art Say, without departing from the principle of the present invention, several flexible or other embodiments can also be made, these it is flexible or other Embodiment also should be regarded as protection scope of the present invention.

Claims (9)

1. a kind of high accuracy vision detection system for target, it is characterised in that: the system comprises industrial camera groups, bar shaped Light source and coaxial light source;The industrial camera group is perpendicular to target workpiece surface to be measured;The strip source and the axis light Source is arranged around target workpiece surface to be measured by a predetermined angle respectively;The strip source and coaxial light source is orthogonal sets It sets;The polishing direction of the coaxial light source is perpendicular to along target workpiece surface radius to be measured.
2. the high accuracy vision detection system according to claim 1 for target, it is characterised in that: the strip source It is set as blue-light source, and the strip source is equipped with polarizing coating.
3. the high accuracy vision detection system according to claim 1 for target, it is characterised in that: the coaxial light source It is set as blue-light source.
4. the high accuracy vision detection system according to claim 1 for target, it is characterised in that: the strip source It is set on target workpiece surface to be measured, and the predetermined angular of the strip source and target workpiece surface to be measured is 30 ° and arrives Any angle between 45 °.
5. the high accuracy vision detection system according to claim 1 for target, it is characterised in that: the coaxial light source It is set on target workpiece surface to be measured, and the predetermined angular of the coaxial light source and target workpiece surface to be measured is 45 °.
6. the high accuracy vision detection system according to claim 1 for target, it is characterised in that: the industrial camera Group includes an industrial camera, and the industrial camera is set on target workpiece surface to be measured, along target workpiece surface to be measured Radius acquires image.
7. high accuracy vision detection system according to claim 1, it is characterised in that: the industrial camera group includes at least Two industrial cameras, the industrial camera are set on workpiece for measurement surface, arranged in parallel setting, and along target workpiece to be measured Surface radius acquires image.
8. a kind of high-precision vision detection method for target, it is characterised in that: the described method comprises the following steps:
It is first turned on coaxial light source, after target workpiece surface image to be measured in industrial camera group acquisition current block, closes institute Coaxial light source is stated, knife mark detection is carried out;
Then strip source is opened, industrial camera group acquires target workpiece surface image to be measured in same block, after the completion of acquisition The strip source is closed, scratch detection is carried out;
The target workpiece to be measured is rotated, the Image Acquisition detection of next block is carried out, until completing entire target work to be measured The Image Acquisition on part surface detects.
9. high accuracy vision detection system according to claim 8, it is characterised in that: in the method, the sequence of polishing It can exchange, it may be assumed that first open strip source, after target workpiece surface image to be measured in industrial camera group acquisition current block, close The strip source is closed, scratch detection is carried out;Coaxial light source is opened again, and industrial camera group acquires target work to be measured in same block Part surface image closes the coaxial light source after the completion of acquisition, carry out knife mark detection.
CN201810947776.2A 2018-08-20 2018-08-20 A kind of high accuracy vision detection system and method for target Pending CN109142375A (en)

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Cited By (4)

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Publication number Priority date Publication date Assignee Title
CN109900719A (en) * 2019-03-04 2019-06-18 华中科技大学 A kind of visible detection method of blade surface knife mark
CN110288584A (en) * 2019-06-27 2019-09-27 常州固高智能装备技术研究院有限公司 Ceramic hot-dip aluminizing detection method of surface flaw and device based on machine vision
CN111024712A (en) * 2019-12-26 2020-04-17 苏州伟信奥图智能科技有限公司 Method suitable for detecting surface defects
CN111060526A (en) * 2018-10-16 2020-04-24 苏州微微视视觉科技有限公司 Method for detecting surface defects of metal target based on picture processing

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CN105372248A (en) * 2015-11-12 2016-03-02 深圳市傲视检测技术有限公司 Image acquisition device for small-sized glass panel surface defect detection
CN107084993A (en) * 2017-06-21 2017-08-22 无锡九霄科技有限公司 Double camera single-station positive and negative vision inspection apparatus

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CN111024712A (en) * 2019-12-26 2020-04-17 苏州伟信奥图智能科技有限公司 Method suitable for detecting surface defects

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