CN105806849A - Automobile seat surface defect detection system based on machine vision as well as detection method - Google Patents
Automobile seat surface defect detection system based on machine vision as well as detection method Download PDFInfo
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- CN105806849A CN105806849A CN201610217127.8A CN201610217127A CN105806849A CN 105806849 A CN105806849 A CN 105806849A CN 201610217127 A CN201610217127 A CN 201610217127A CN 105806849 A CN105806849 A CN 105806849A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
Abstract
The invention discloses an automobile seat surface defect detection system based on machine vision as well as a detection method. The system comprises a light source device, a single chip microcomputer numerical control device, an image acquisition device, an image processing and analyzing platform, a database system and a hardware device. The visual detection has the characteristic that flexibility degree and the automation degree of production are increased; compared with manpower, the system has the advantages in the aspects of efficiency and speed and can realize accurate detection which cannot be realized through common manpower, a traditional manual detection means is replaced, an innovation for automatic and intelligent development of visual quality detection of products is achieved, the level and the efficiency of product quality detection are improved, the system is beneficial supplement for intelligent industrial manufacturing, not only is labor force liberated, but also rebuilding and upgrading of a traditional production process of an enterprise are facilitated by the aid of the information technology.
Description
Technical field
The present invention relates to the research field of Machine Vision Detection, particularly to a kind of automotive seat surface defects detection system based on machine vision and detection method.
Background technology
Seat is one of core component of vehicle complete vehicle, contains substantial amounts of Value of Science & Technology and image value.At present, China there are about 700 automotive seat manufacturers, and Jiangsu, Zhejiang and Guangdong are the production centers of China's automotive seat, but automotive seat manufacturing enterprise quantity is many on a small scale, and low side automotive seat product floods market, and there is problem of excess production capacity.Meanwhile, this to also lead to domestic automobile seat enterprise disorderly competition phenomenon serious.That current China most of seat production line adopts or traditional mode of production of manually contacting, production efficiency is low, and error rate is high.
In high-volume industrial processes, with artificial visual inspection product quality efficiency is low and precision is not high, the automaticity of production efficiency and production can be greatly improved with machine vision detection method.Present invention aims to replace by vision-based detection the seat surface defects detection of seat production line, the greasy dirt of visual identity seat surface, cut, gauffer, the end of a thread and seam abnormal and the defects such as mistake are installed, improving efficiency and the accuracy of detection.
Zhejiang Polytechnical University have developed connection rod of automobile engine surface defects detection system in 2005, and it, with embedded machine vision system, can complete the quick measurement of rod surface defect.Hubei University Of Technology devised a set of passenger car weather seal detection system in 2007, it utilizes video camera to obtain the image in gap, compartment, by image procossing, gap size can be extracted fast and accurately, and provided test result by area of computer aided evaluation system.The dimensional accuracy of 800 series automobiles body outlines can be carried out on-line checking by a set of Vision Builder for Automated Inspection of Land Rover motor corporation of Britain design, system is made up of 62 measuring units, within every 40 seconds, can detecting a vehicle body, certainty of measurement is ± 0.1mm, can be used to differentiate the dimensional uniformity of key component.
Additionally, the application that machine vision technique is in automobile making and test also has: the intelligent integrated of automobile instrument panel assembly is tested, the detection etc. correctly assembled in detection, vehicle front parameter detection and localization, vehicle impact testing assembling quality testing, automobile safety seat belt of automotive transmission synchronous ring.
The development of automotive seat detecting device (Wu Yanqiang, Zhang Ruoqing. observation and control technology, 2013,32 (3): 120-123.), the automotive seat detecting device that it is core controller with SIMATICS7-300 series of PLC that the document devises.The man machine interface that PLC develops with KingView is connected by TT&C system by ICP/IP protocol；By adopting zero drift compensation and software and hardware filtering technique, improve the precision and stability of test signal；The modular construction adopted in programming, makes the execution efficiency of program be greatly improved, and has good readability and ease for maintenance, and the document is mainly for arta vehicle seat unit.
Making a general survey of both at home and abroad, machine vision mainly has automobile full car size to measure in the application of automobile making and detection field, cylinder head detects, automobile metal foundry goods detects, automobile engine assembling detection.But in automotive seat surface defects detection, all adopting artificial vision to check the quality of the products at present, efficiency is low and precision is not high, along with the raising of labor cost, testing cost is also rising.
Summary of the invention
Present invention is primarily targeted at the shortcoming overcoming prior art with not enough, it is provided that a kind of automotive seat surface defects detection system based on machine vision and detection method.
In order to achieve the above object, the present invention is by the following technical solutions:
A kind of automotive seat surface defects detection system based on machine vision of the present invention, including light supply apparatus, Chip Microcomputer-based NC Device, image collecting device, image procossing and analysis platform, Database Systems and hardware unit, described image collecting device, image procossing and analysis platform and Database Systems are linked in sequence, described light supply apparatus is arranged on hardware unit, and described Chip Microcomputer-based NC Device electrically connects with light supply apparatus；
Described light supply apparatus is used for improving Characteristic Contrast degree to be measured, simplifying image processing program；
Described Chip Microcomputer-based NC Device, is used for adjusting, controlling light source colour and illumination；
Described image collecting device, is used for gathering described detection image and sending to described image procossing and analysis platform；
Described image procossing and analysis platform, for the figure collected carries out feature identification, and the feature according to pickup judges that whether seat to be detected is defective；
Described Database Systems, are used for storing described detection and analyze result.
As preferred technical scheme, described light supply apparatus is made up of light source substrate and light source；
Light source substrate in described light supply apparatus is bar shaped substrate, carries out array distribution for 3 row's LED；
Light source in described light supply apparatus is array-type LED strip source, adopts the color LED light source of scalable seven, by single-chip microcomputer, light source colour, brightness is adjusted.
As preferred technical scheme, described Chip Microcomputer-based NC Device is connected to power supply and transformator, described Chip Microcomputer-based NC Device is electrically connected with light supply apparatus by transformator, the described Chip Microcomputer-based NC Device difference according to automotive seat color, output voltage dutycycle is adjusted by single-chip microcomputer, change the voltage of red, green, blue on LED light source respectively, realize color adjustment, improve the contrast of the end of a thread on automotive seat surface, seam, cut, fold, greasy dirt defect characteristic so that phase function obtains defect characteristic clearly.
As preferred technical scheme, described image collecting device includes industrial camera, camera lens, a/d conversion device and image pick-up card, and camera lens is fixed on industrial camera, and industrial camera and a/d conversion device, image pick-up card are electrically connected；
Described industrial camera is used for real-time image acquisition, namely generates detection image；
Described a/d conversion device is used for gathering described detection image and being converted to digital picture；
Described image pick-up card is used for gathering described detection digital picture and sending to described image procossing and analysis platform.
As preferred technical scheme, described hardware unit includes support and Reflecting curtain, and support is used for fixing described image collecting device and light supply apparatus；Reflecting curtain is semiclosed to be fixed on support, reduces external light source and disturbs the light with described light supply apparatus to waste, and residue half open space is for streamline walking.
The detection method of a kind of automotive seat surface defects detection system based on machine vision of the present invention, comprises the steps:
Step 1: fixing camera is demarcated, improves the stability of graphical analysis precision and algorithm；
Step 2: data system is inputted automotive seat template, obtains automotive seat parameterized template to be measured；
Step 3: described detection image is used classifier algorithm, carries out colour recognition and Material Identification, then match with template, it is judged that seat whether assembly defect, whether skin material makes mistakes；
Step 4: use Morphological scale-space and threshold value to choose and carry out the end of a thread position, seaming position identification described detection image；
Step 5: described detection image is carried out feature extraction, parser carries out judging the end of a thread defect and fault in seam；
If above-mentioned steps has a step defect to be detected, directly reporting an error, product is defective；
If above-mentioned steps is all qualified, the detection image that reset process is crossed, carry out step:
Step 6: described detection image uses Gaussian Mixture modeling, morphology, image convolution combinational algorithm carry out texture filtering, reduces seat surface interference of texture；
Step 7: described detection image is carried out threshold process, re-uses edge detection algorithm, extracts feature, mates with cut, fold and greasy dirt feature templates, it is judged that whether seat surface has cut, fold or greasy dirt, generates detection and analyzes result.
As preferred technical scheme, in described step 3, adopting classifier algorithm, colour recognition, template matching technique to judge saddle horse whether assembly defect, the method whether skin material makes mistakes is: by Database Systems, carries out template matching to detecting image, determine detection image type, obtain detection color of image, feature again, contrast with template data, data and template data doing mathematics computing will be obtained, when template data with obtain data difference less than certain limit, product skin material, assemble qualified.
As preferred technical scheme, described step 4, in 5, detection image use Morphological scale-space and threshold value choose carry out the end of a thread position, the concrete grammar of seaming position identification is:
Image is carried out RGB to greyscale image transitions, then carry out threshold value selection, outline feature extraction, then use region segmentation that connecting line is extracted, remove other extraneous background, carrying out template matching with connecting line template again, it may be judged whether have the end of a thread, whether seam has breakage.
As preferred technical scheme, the result that detection is analyzed is stored in Database Systems and accounts for, and specifically includes following steps
Step 8: analyze result to described detection and add storage identification information generation analysis result to be stored；
Step 9: result is analyzed in described storage and stores to data base.
The present invention compared with prior art, has the advantage that and beneficial effect:
The feature of vision-based detection of the present invention is to improve the flexibility and automaticity that produce, relative to manpower, advantage is embodied in efficiency, speed, economical, and the common accurate detection manually cannot accomplished can be accomplished, instead of Traditional Man detection means, this is that product visual quality is detected automatization, one innovation of intelligent development, improve product quality detection level, improve the efficiency of product quality detection, it it is a useful supplement of intelligent industry manufacture, not only liberate labour force, and promoted enterprise to utilize information technology upgrade to promote traditional mode of production flow process.
Accompanying drawing explanation
Fig. 1 is the structural representation of apparatus of the present invention；
Fig. 2 is the block diagram of present system；
Fig. 3 is the method flow diagram of the present invention.
Detailed description of the invention
Below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention are not limited to this.
Embodiment
As shown in Figure 1 and Figure 2, the present embodiment includes light supply apparatus, Chip Microcomputer-based NC Device, image collecting device, image procossing and analysis platform, Database Systems and hardware unit based on the automotive seat surface defects detection system of machine vision, described image collecting device, image procossing and analysis platform and Database Systems are linked in sequence, described light supply apparatus is arranged on hardware unit, and described Chip Microcomputer-based NC Device electrically connects with light supply apparatus；Described light supply apparatus is used for improving Characteristic Contrast degree to be measured, simplifying image processing program；Described Chip Microcomputer-based NC Device, is used for adjusting, controlling light source colour and illumination；Described image collecting device, is used for gathering described detection image and sending to described image procossing and analysis platform；Described image procossing and analysis platform, for the figure collected carries out feature identification, and the feature according to pickup judges that whether seat to be detected is defective；Described Database Systems, are used for storing described detection and analyze result.
As it is shown in figure 1, automotive seat 1 to be detected is arranged on support 2, it is used for fixing camera, light source and give out light curtain and camera 3, is used for obtaining automotive seat surface image, sends this shaped objects in computer PC, figure to and be industrial camera.
Described light supply apparatus is made up of light source substrate and light source；
Light source substrate in described light supply apparatus is bar shaped substrate, carries out array distribution for 3 row's LED；
Light source in described light supply apparatus is array-type LED strip source, adopts the color LED light source of scalable seven, by single-chip microcomputer, light source colour, brightness is adjusted.
Described Chip Microcomputer-based NC Device is connected to power supply and transformator, described Chip Microcomputer-based NC Device is electrically connected with light supply apparatus by transformator, the described Chip Microcomputer-based NC Device difference according to automotive seat color, output voltage dutycycle is adjusted by single-chip microcomputer, change the voltage of red, green, blue on LED light source respectively, realize color adjustment, improve the contrast of the end of a thread on automotive seat surface, seam, cut, fold, greasy dirt defect characteristic so that phase function obtains defect characteristic clearly.
Described image collecting device includes industrial camera, camera lens, a/d conversion device and image pick-up card, and camera lens is fixed on industrial camera, and industrial camera and a/d conversion device, image pick-up card are electrically connected；
Described industrial camera is used for real-time image acquisition, namely generates detection image；
Described a/d conversion device is used for gathering described detection image and being converted to digital picture；
Described image pick-up card is used for gathering described detection digital picture and sending to described image procossing and analysis platform.
Seat is come up by production line, support side arranges an infrared sensor, can sense whether seat arrives, when seat is gone to below support, production line quits work, for this system detection seat, to be detected complete, production line works on, new seat is under support, production line quits work, detection system detection, so repeatedly analogizes.
In this example, seat to be detected is black cortex, owing to purchased camera is most sensitive to green wavelength section, so control single chip computer is adjusted to monochromatic green glow light source colour.
As it is shown on figure 3, the detection method based on the automotive seat surface defects detection system of machine vision comprises the steps:
1) building a set of support on automotive seat production line, front and back use Reflecting curtain to be layered on support, reduce external light source interference, and space, left and right runs well for production line, for semiclosed detection cabin.Light source and camera are fixed on support, are electrically connected with computer PC respectively；
2) its illuminant characterization is array-type LED strip source, by single-chip microcomputer, light source colour is adjusted to green, brightness is adjusted to properly, and dimension of light source size and automotive seat size match.Distribution of light sources, on support, makes uniform light be radiated on automotive seat surface；
3) uniform light is radiated on automotive seat surface, improve the contrast of the end of a thread on automotive seat surface, seam, cut, fold, greasy dirt defect characteristic, make phase function obtain defect characteristic clearly, enable the system to the automotive seat of detection different cultivars, color；
4) camera is industrial camera, obtains image transmitting by camera and carries out image procossing to computer PC, particularly as follows:
1. native system first fixes camera, and camera parameter is demarcated；
2. native system input automotive seat template, obtains automotive seat parameterized template to be measured；
3. image is filtered by native system, smooth grade for Image semantic classification；
4. native system uses classifier algorithm to carry out colour recognition and Material Identification, then matches with template, it is judged that seat whether assembly defect, whether skin material makes mistakes；
Classifier algorithm, colour recognition, template matching technique is adopted to judge saddle horse whether assembly defect, the method whether skin material makes mistakes is: pass through Database Systems, detection image is carried out template matching, determine detection image type, obtain detection color of image, feature again, contrast with template data, data and template data doing mathematics computing will be obtained, when template data with obtain Data Data difference less than certain limit, product skin material, assemble qualified；
5. native system is by Morphological scale-space, and threshold value is chosen, and region segmentation scheduling algorithm carries out the end of a thread position, seaming position identification, then passes through feature extraction, parser carries out judging the end of a thread defect and fault in seam；
Detection image use Morphological scale-space and threshold value choose carry out the end of a thread position, the concrete grammar of seaming position identification is:
Image is carried out RGB to greyscale image transitions, then carry out threshold value selection, outline feature extraction, then use region segmentation that connecting line is extracted, remove other extraneous background, carrying out template matching with connecting line template again, it may be judged whether have the end of a thread, whether seam has breakage；
If above-mentioned steps has a step defect to be detected, directly reporting an error, product is defective；
If above-mentioned steps is all qualified, the detection image that reset process is crossed, carry out step:
6. native system uses Gaussian Mixture modeling, morphology, image convolution combinational algorithm to carry out texture filtering, reduce seat surface interference of texture, re-use edge detection algorithm, extract feature, mate with cut, fold and greasy dirt feature templates, judge whether seat surface has cut, fold or greasy dirt, generate examining report.
Above-described embodiment is the present invention preferably embodiment; but embodiments of the present invention are also not restricted to the described embodiments; the change made under other any spirit without departing from the present invention and principle, modification, replacement, combination, simplification; all should be the substitute mode of equivalence, be included within protection scope of the present invention.
Claims (9)
1. the automotive seat surface defects detection system based on machine vision, it is characterized in that, including light supply apparatus, Chip Microcomputer-based NC Device, image collecting device, image procossing and analysis platform, Database Systems and hardware unit, described image collecting device, image procossing and analysis platform and Database Systems are linked in sequence, described light supply apparatus is arranged on hardware unit, and described Chip Microcomputer-based NC Device electrically connects with light supply apparatus；
Described light supply apparatus is used for improving Characteristic Contrast degree to be measured, simplifying image processing program；
Described Chip Microcomputer-based NC Device, is used for adjusting, controlling light source colour and illumination；
Described image collecting device, is used for gathering described detection image and sending to described image procossing and analysis platform；
Described image procossing and analysis platform, for the figure collected carries out feature identification, and the feature according to pickup judges that whether seat to be detected is defective；
Described Database Systems, are used for storing described detection and analyze result.
2. the automotive seat surface defects detection system based on machine vision according to claim 1, it is characterised in that described light supply apparatus is made up of light source substrate and light source；
Light source substrate in described light supply apparatus is bar shaped substrate, carries out array distribution for 3 row's LED；
Light source in described light supply apparatus is array-type LED strip source, adopts the color LED light source of scalable seven, by single-chip microcomputer, light source colour, brightness is adjusted.
3. the automotive seat surface defects detection system based on machine vision according to claim 1, it is characterized in that, described Chip Microcomputer-based NC Device is connected to power supply and transformator, described Chip Microcomputer-based NC Device is electrically connected with light supply apparatus by transformator, the described Chip Microcomputer-based NC Device difference according to automotive seat color, output voltage dutycycle is adjusted by single-chip microcomputer, change on LED light source red respectively, green, blue voltage, realize color adjustment, improve the end of a thread on automotive seat surface, seam, cut, fold, the contrast of greasy dirt defect characteristic, phase function is made to obtain defect characteristic clearly.
4. the automotive seat surface defects detection system based on machine vision according to claim 1, it is characterized in that, described image collecting device includes industrial camera, camera lens, a/d conversion device and image pick-up card, camera lens is fixed on industrial camera, and industrial camera and a/d conversion device, image pick-up card are electrically connected；
Described industrial camera is used for real-time image acquisition, namely generates detection image；
Described a/d conversion device is used for gathering described detection image and being converted to digital picture；
Described image pick-up card is used for gathering described detection digital picture and sending to described image procossing and analysis platform.
5. the automotive seat surface defects detection system based on machine vision according to claim 4, it is characterised in that described hardware unit includes support and Reflecting curtain, and support is used for fixing described image collecting device and light supply apparatus；Reflecting curtain is semiclosed to be fixed on support, reduces external light source and disturbs the light with described light supply apparatus to waste, and residue half open space is for streamline walking.
6. the detection method of the automotive seat surface defects detection system based on machine vision according to any one of claim 1-5, it is characterised in that comprise the steps:
Step 1: fixing camera is demarcated, improves the stability of graphical analysis precision and algorithm；
Step 2: data system is inputted automotive seat template, obtains automotive seat parameterized template to be measured；
Step 3: described detection image is used classifier algorithm, carries out colour recognition and Material Identification, then match with template, it is judged that seat whether assembly defect, whether skin material makes mistakes；
Step 4: use Morphological scale-space and threshold value to choose and carry out the end of a thread position, seaming position identification described detection image；
Step 5: described detection image is carried out feature extraction, parser carries out judging the end of a thread defect and fault in seam；
If above-mentioned steps has a step defect to be detected, directly reporting an error, product is defective；
If above-mentioned steps is all qualified, the detection image that reset process is crossed, carry out step:
Step 6: described detection image uses Gaussian Mixture modeling, morphology, image convolution combinational algorithm carry out texture filtering, reduces seat surface interference of texture；
Step 7: described detection image is carried out threshold process, re-uses edge detection algorithm, extracts feature, mates with cut, fold and greasy dirt feature templates, it is judged that whether seat surface has cut, fold or greasy dirt, generates detection and analyzes result.
7. the detection method of the automotive seat surface defects detection system based on machine vision according to claim 6, it is characterized in that, in described step 3, adopt classifier algorithm, colour recognition, template matching technique judges saddle horse whether assembly defect, the method whether skin material makes mistakes is: pass through Database Systems, detection image is carried out template matching, determine detection image type, obtain detection color of image again, feature, contrast with template data, data and template data doing mathematics computing will be obtained, when template data and acquisition data difference are less than certain limit, product skin material, it is qualified to assemble.
8. the detection method of the automotive seat surface defects detection system based on machine vision according to claim 6, it is characterized in that, described step 4, in 5, detection image use Morphological scale-space and threshold value choose carry out the end of a thread position, the concrete grammar of seaming position identification is:
Image is carried out RGB to greyscale image transitions, then carry out threshold value selection, outline feature extraction, then use region segmentation that connecting line is extracted, remove other extraneous background, carrying out template matching with connecting line template again, it may be judged whether have the end of a thread, whether seam has breakage.
9. the detection method of the automotive seat surface defects detection system based on machine vision according to claim 6, it is characterised in that the result that detection is analyzed is stored in Database Systems and accounts for, and specifically includes following steps
Step 8: analyze result to described detection and add storage identification information generation analysis result to be stored；
Step 9: result is analyzed in described storage and stores to data base.
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| 景军锋等: "《基于方法库的织物图像疵点检测》", 《东华大学学报（自然科学版）》 * |
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