CN102494773A - Automatic detection method of machine vision system on snap-fastener chromatic aberration - Google Patents
Automatic detection method of machine vision system on snap-fastener chromatic aberration Download PDFInfo
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- CN102494773A CN102494773A CN2011103590774A CN201110359077A CN102494773A CN 102494773 A CN102494773 A CN 102494773A CN 2011103590774 A CN2011103590774 A CN 2011103590774A CN 201110359077 A CN201110359077 A CN 201110359077A CN 102494773 A CN102494773 A CN 102494773A
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Abstract
The invention provides an automatic detection method of a machine vision system on snap-fastener chromatic aberration, which comprises the following steps of: pre-shooting an image of a standard snap-fastener; extracting an RGB (Red, Green, Blue) value of the snap-fastener as a standard RGB value of the snap-fastener to be stored in a computer; setting a difference proportion with a chromatic aberration standard image as a detection parameter; setting a difference proportion with the standard RGB value of the snap-fastener as a detection parameter; setting qualified ranges of different detection parameters according to user requirements; starting a camera through an external trigger and control signal to shoot an image of an online operated snap-fastener in real time; transmitting the shot image to the computer to be detected; extracting the RGB value of the snap-fastener and calculating the chromatic aberration by the computer through image algorithm processing; judging whether the snap-fastener belongs to a qualified snap-fastener or a waste through the calculated chromatic aberration; and rejecting the waste through an appointed discharge hole according to the external trigger and control signal. The automatic detection method disclosed by the invention has high detection precision and rapid speed on the snap-fastener chromatic aberration, thus, the snap-fastener yield can be effectively ensured.
Description
Technical field
The present invention relates to utilize NI Vision Builder for Automated Inspection to carry out the technical field of online detection, relate in particular in the snap fastener production scene method of utilizing NI Vision Builder for Automated Inspection whether to exist aberration to detect automatically snap fastener.
Background technology
Whether the snap fastener workshop in line production is on-the-spot, need exist aberration to carry out online detection to each snap fastener.In the prior art; Online detection to the snap fastener aberration relies on manual work to detect; Produce the machine side at snap fastener and establish detection and the processing that about 80 people carry out the snap fastener aberration, product is divided into certified products (as not having obvious aberration or no color differnece) and unacceptable product (if any obvious aberration) according to testing result.Unacceptable product is directly as goods rejection.
The shortcoming that manual detection exists mainly contains: the on-the-spot ventilation of workshop is poor, and workman's testing environment is abominable, and labour intensity is big; The normal eye promptly can dim eyesight, eye discomfort such as expand about uninterrupted observation moving object 30min, and testing staff's non-stop run for a long time can't guarantee the product export qualification rate; It is to be with very high-precision test that the snap fastener aberration detects, and human eye can't judge accurately that error is big, and the chance of makeing mistakes is a lot, can't guarantee to detect quality; The speed that the professional detects the snap fastener aberration is up to 0.5/s, and throughput rate is had very big restriction.
The content of invention
Online detection dependence manual work to the snap fastener aberration detects to prior art, and the workman is easy to generate visual fatigue, and labour intensity is big; Can't guarantee product percent of pass and detect quality; Problems such as monitoring velocity is low, the present invention provides the automatic testing method of a kind of NI Vision Builder for Automated Inspection to the snap fastener aberration, and it reduces workman's detection labour intensity greatly; Accuracy of detection is high, speed is fast, the qualification rate of the product that can effectively guarantee to dispatch from the factory.
Technical scheme of the present invention is following:
A kind of NI Vision Builder for Automated Inspection may further comprise the steps the automatic testing method of snap fastener aberration:
(1) snap fastener is fixed on the frock bar anchor clamps, makes frock bar anchor clamps on-line operation, taking camera fixing above the frock bar anchor clamps of on-line operation; According to the size of snap fastener to be detected and snap fastener towards, select the focal length of camera lens, shooting angle, shooting distance, aperture size, the time shutter of camera taken in adjustment, so that obtain photographic images clearly;
(2) start said industrial camera; Take the image of a standard snap fastener in advance, and the image of taking is transferred to computing machine, computing machine is handled through image algorithm; Extract the image of snap fastener; Extract the rgb value of snap fastener image, the rgb value of this snap fastener image that obtains as snap fastener standard rgb value, is stored in the computing machine;
(3) will be made as the detection parameter with the difference ratio of snap fastener standard rgb value, and the acceptability limit of said detection parameter will be set according to customer requirements;
(4) computing machine is obtained camera and synchronous triggering and the control signal of production process, starts the image that said camera is taken the on-line operation snap fastener in real time by external trigger and control signal, and the image of taking is transferred to computing machine confession detection;
(5) computing machine is handled through image algorithm, extracts the rgb value of snap fastener image;
(6) computing machine calculates the rgb value of said snap fastener image and the difference ratio of snap fastener standard rgb value; Account for the ratio of this respective value in the snap fastener standard rgb value in each value in the rgb value that this difference ratio is said snap fastener image and the snap fastener standard rgb value with the difference of its respective value, get the maximal value in the aforementioned proportion, this ratio maximal value promptly is the snap fastener aberration;
(7) judge that through the snap fastener aberration that calculates this product belongs to certified products or waste product, waste product is rejected from the discharging opening of appointment through external trigger and control signal.
Its further technical scheme is: to said (7) step, specifically carry out the judgement and the go-on-go of snap fastener aberration by following step:
(8) whether judge the snap fastener aberration at acceptability limit＜20%, as then turned to for (9) step at acceptability limit, if item turned to for (10) step more than or equal to acceptability limit >=20%;
(9) sort as certified products;
(10) directly as goods rejection.
And its further technical scheme is: to said (7) step, when detecting product and be waste product, computing machine will carry out picture cues through man-machine interface, and start warning device.
Useful technique effect of the present invention is:
The present invention adopts NI Vision Builder for Automated Inspection that the snap fastener aberration is carried out automatic on-line and detects, and replaces manual detection, and the user can carry out the adjusting of accuracy of detection automatically.Have the record, classification, statistics, storage, the query function that product are detected certified products, this two series products of waste product.And in image, point out the unacceptable product situation through friendly man-machine interface, and give sound, light alarm, reduce workman's detection labour intensity greatly.
Manual detection speed is generally 0.5/s, and the NI Vision Builder for Automated Inspection detection speed can reach 3 ~ 4/s, and the product detection speed of NI Vision Builder for Automated Inspection is artificial 6 ~ 8 times, has greatly improved production efficiency.
Manual detection can't uninterruptedly be carried out product quality in 24 hours and detect owing to environment and physiological reason, adopted NI Vision Builder for Automated Inspection to detect and then made it become possibility.The production time of equipment can prolong to greatest extent, has improved usage ratio of equipment.
The artificial detection because poor, the vision fatiguability that ventilates is difficult to the Continuous Tracking product quality.Detecting accuracy leans on artificial being difficult to guarantee that improper defect rate generally about 8 ~ 10%, has caused the significant wastage of the resources of production and production cost; The accuracy of detection of NI Vision Builder for Automated Inspection is high, thereby improves product percent of pass greatly and detect quality.
Description of drawings
Fig. 1 is a process sequence diagram of the present invention.
Embodiment
Further specify below in conjunction with the accompanying drawing specific embodiments of the invention.
Embodiment 1, to there not being the detection of obvious aberration product:
Basler ACA640-100GM type industrial camera is fixed on the top of snap fastener, and camera is about 100mm apart from the distance of snap fastener upper surface, uses to execute and bears zoom lens, and focal length transfers to 8mm, and aperture is transferred to maximal value, and the time shutter is adjusted to 0.41ms.Set the normal aberration of certified products and be 20% to the maximum.Adopt special-purpose White LED bowl light source, shine from the same side of the relative snap fastener of camera (positive light), and use and semiclosedly block the influence that the metal framework shields extraneous veiling glare,, embody the obvious characteristic of snap fastener so that obtain visual pattern more stablely.The LED bowl light source of this project uses the machine vision special light source (also can use the LED bowl light source of other companies) of CCS company, so that can photograph distinct image more stablely, and is shown in the screen of computing machine.Adopt the frock bar anchor clamps on the production line that snap fastener is fixed, make each snap fastener unification towards.Carry out the conveying of snap fastener through belt transmission system, guarantee that snap fastener by certain direction and speed, stably gets into pick-up unit.
Start said industrial camera; Take the image of a standard snap fastener in advance, and the image of taking is transferred to computing machine, computing machine is handled through image algorithm; Extract the image of snap fastener; Extract the rgb value of snap fastener image, the rgb value of this snap fastener image that obtains as snap fastener standard rgb value, is stored in the computing machine.Existing snap fastener is generally metal material, presents natural silver color, and establishing snap fastener standard rgb value in the present embodiment is R:G:B=205:205:205.
Computing machine is according to the different control system of institute of different production firm production equipment; Obtain synchronous triggering of camera and production process and control signal; Start said industrial camera and take the image of the snap fastener of on-line operation, and, be stored in the computing machine the snap fastener image that obtains.
Computing machine carries out Flame Image Process to captured image through edge extracting, smoothing denoising, binary conversion treatment, Fourier Tranform scheduling algorithm, makes image more clear, more meets the truth of snap fastener.The algorithm that is adopted in the above-mentioned image processing process is conventional algorithm of the prior art.Further extract the rgb value of snap fastener image;
Computing machine calculates the rgb value of said snap fastener image and the difference ratio of snap fastener standard rgb value; Account for the ratio of this respective value in the snap fastener standard rgb value in each value in the rgb value that this difference ratio is said snap fastener image and the snap fastener standard rgb value with the difference of its respective value, get the maximal value in the aforementioned proportion, this ratio maximal value promptly is the snap fastener aberration.
Like detected rgb value is R:G:B=215:205:200; Wherein the difference ratio of R is 4.9%, and the difference ratio of B is 2.4%, and then to get maximal value be 4.9% to the aberration of this product, and then this product does not have obvious aberration, is certified products.Computing machine writes down, classifies, adds up warehouse-in to such certified products.
Embodiment 2, to the detection of obvious aberration product is arranged:
Basler ACA640-100GM type industrial camera is fixed on the top of snap fastener, and camera is about 100mm apart from the distance of snap fastener upper surface, uses to execute and bears zoom lens, and focal length transfers to 8mm, and aperture is transferred to maximal value, and the time shutter is adjusted to 0.41ms.Set the normal aberration of certified products and be 20% to the maximum.Adopt special-purpose White LED bowl light source, shine from the same side of the relative snap fastener of camera (positive light), and use and semiclosedly block the influence that the metal framework shields extraneous veiling glare,, embody the obvious characteristic of snap fastener so that obtain visual pattern more stablely.The LED bowl light source of this project uses the machine vision special light source (also can use the LED bowl light source of other companies) of CCS company, so that can photograph distinct image more stablely, and is shown in the screen of computing machine.Adopt the frock bar anchor clamps on the production line that snap fastener is fixed, make each snap fastener unification towards.Carry out the conveying of snap fastener through belt transmission system, guarantee that snap fastener by certain direction and speed, stably gets into pick-up unit.
Start said industrial camera; Take the image of a standard snap fastener in advance, and the image of taking is transferred to computing machine, computing machine is handled through image algorithm; Extract the image of snap fastener; Extract the rgb value of snap fastener image, the rgb value of this snap fastener image that obtains as snap fastener standard rgb value, is stored in the computing machine.Existing snap fastener is generally metal material, presents natural silver color, and establishing snap fastener standard rgb value in the present embodiment is R:G:B=205:205:205.
Computing machine is according to the different control system of institute of different production firm production equipment; Obtain synchronous triggering of camera and production process and control signal; Start said industrial camera and take the image of the snap fastener of on-line operation, and, be stored in the computing machine the snap fastener image that obtains.
Computing machine carries out Flame Image Process to captured image through edge extracting, smoothing denoising, binary conversion treatment, Fourier Tranform scheduling algorithm, makes image more clear, more meets the truth of snap fastener.The algorithm that is adopted in the above-mentioned image processing process is conventional algorithm of the prior art.Further extract the rgb value of snap fastener image;
Computing machine calculates the rgb value of said snap fastener image and the difference ratio of snap fastener standard rgb value; Account for the ratio of this respective value in the snap fastener standard rgb value in each value in the rgb value that this difference ratio is said snap fastener image and the snap fastener standard rgb value with the difference of its respective value, get the maximal value in the aforementioned proportion, this ratio maximal value promptly is the snap fastener aberration.
Like detected rgb value is R:G:B=234:225:151; Wherein the difference ratio of R is 14.1%, and the difference ratio of G is 9.8%, and the difference ratio of B is 26.3%, and then to get maximal value be 26.3% to the aberration of this product, and then this product has obvious aberration, is unacceptable product.Computing machine is pointed out the unacceptable product situation through friendly man-machine interface in image, and gives sound, light alarm, and such unacceptable product is write down, classifies, adds up warehouse-in.
More than the control system (hardware and software) of the image capture device (camera, radiation source, power supply, image pick-up card etc.) that uses among all embodiment and storage device (hard disk, CD, floppy disk etc.), image processing equipment (hardware of image processor and software), image display (hardware and software), warning device and each part mentioned above all adopt prior art to design and produce or directly adopt relevant commercially available prod.
Above-described processing step of the present invention is shown in Fig. 1.
It should be noted that above-described at last only is preferred implementation of the present invention, the invention is not restricted to above embodiment.Be appreciated that other improvement and variation that those skilled in the art directly derive or associate under the prerequisite that does not break away from spirit of the present invention and design, all should think to be included within protection scope of the present invention.
Claims (3)
1. a NI Vision Builder for Automated Inspection is characterized in that may further comprise the steps to the automatic testing method of snap fastener aberration:
(1) snap fastener is fixed on the frock bar anchor clamps, makes frock bar anchor clamps on-line operation, taking camera fixing above the frock bar anchor clamps of on-line operation; According to the size of snap fastener to be detected and snap fastener towards, select the focal length of camera lens, shooting angle, shooting distance, aperture size, the time shutter of camera taken in adjustment, so that obtain photographic images clearly;
(2) start said industrial camera; Take the image of a standard snap fastener in advance, and the image of taking is transferred to computing machine, computing machine is handled through image algorithm; Extract the image of snap fastener; Extract the rgb value of snap fastener image, the rgb value of this snap fastener image that obtains as snap fastener standard rgb value, is stored in the computing machine;
(3) will be made as the detection parameter with the difference ratio of snap fastener standard rgb value, and the acceptability limit of said detection parameter will be set according to customer requirements;
(4) computing machine is obtained camera and synchronous triggering and the control signal of production process, starts the image that said camera is taken the on-line operation snap fastener in real time by external trigger and control signal, and the image of taking is transferred to computing machine confession detection;
(5) computing machine is handled through image algorithm, extracts the rgb value of snap fastener image;
(6) computing machine calculates the rgb value of said snap fastener image and the difference ratio of snap fastener standard rgb value; Account for the ratio of this respective value in the snap fastener standard rgb value in each value in the rgb value that this difference ratio is said snap fastener image and the snap fastener standard rgb value with the difference of its respective value, get the maximal value in the aforementioned proportion, this ratio maximal value promptly is the snap fastener aberration;
(7) judge that through the snap fastener aberration that calculates this product belongs to certified products or waste product, waste product is rejected from the discharging opening of appointment through external trigger and control signal.
2. according to the automatic testing method of the said NI Vision Builder for Automated Inspection of claim 1, it is characterized in that said (7) step is specifically carried out the judgement and the go-on-go of snap fastener aberration by following step to the snap fastener aberration:
(8) whether judge the snap fastener aberration at acceptability limit＜20%, as then turned to for (9) step at acceptability limit, if item turned to for (10) step more than or equal to acceptability limit >=20%;
(9) sort as certified products;
(10) directly as goods rejection.
3. according to the automatic testing method of the said NI Vision Builder for Automated Inspection of claim 1, it is characterized in that to said (7) step when detecting product and be waste product, computing machine will carry out picture cues through man-machine interface, and start warning device to the snap fastener aberration.
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Application publication date: 20120613 |