CN102495073B - Automatic detecting method of machine vision system for detecting detained needle bushing burrs - Google Patents
Automatic detecting method of machine vision system for detecting detained needle bushing burrs Download PDFInfo
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- CN102495073B CN102495073B CN 201110359066 CN201110359066A CN102495073B CN 102495073 B CN102495073 B CN 102495073B CN 201110359066 CN201110359066 CN 201110359066 CN 201110359066 A CN201110359066 A CN 201110359066A CN 102495073 B CN102495073 B CN 102495073B
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Abstract
The invention provides an automatic detecting method of a machine vision system for detecting detained needle bushing burrs, wherein transverse lengths of protruding burrs and sunken burrs at an inclined surface of an end part of the detained needle bushing are set as detecting parameters, detecting precision and qualification range of different detecting parameters are set according to requirements of users, a camera is started by an external trigger and control signal to photograph in real time images of the on-line moving detained needle bushing, the photographed images are transmitted to a computer for detection, the images of the detained needle bushing containing burrs are extracted through image algorithmic process by the computer, sizes of two types of burrs are calculated, products are judged to be qualified or waste according to the calculated sizes of the burrs, and the waste products are taken out from a specified discharge opening through the external trigger and the control signal. The automatic detecting method of the machine vision system for detecting detained needle bushing burrs has high precision and speed in detecting the burrs of the detained needle bushing, and can effectively ensure the qualification rate of the products.
Description
Technical field
The present invention relates to utilize Vision Builder for Automated Inspection to carry out the technical field of online detection, relate in particular in remaining needle lining production scene, the method for utilizing Vision Builder for Automated Inspection whether to exist burr to detect automatically to the remaining needle lining.
Background technology
Remaining needle be used to infuse, device that blood transfusion and extracorporeal circulation of blood etc. are disposed.Remaining needle remains on the top of remaining needle lining with needle tubing, and the rear end of remaining needle lining connects transfusion with pipe.The medical worker is thrust patient body with described needle tubing with described lining.After this described needle tubing is pulled out, and described lining is kept somewhere in patient body.Described remaining needle lining is connected with infusion set and is used for infusing.
At the scene, remaining needle lining making-up shop of line production, need whether exist burr to carry out online detection to the chamfered portion of remaining needle gasket end.If there is burr in the chamfered portion of remaining needle gasket end, then can stab patient.In the prior art, online detection to remaining needle gasket end chamfered portion burr relies on the special-purpose magnifier of artificial use to detect, produce the machine side at the remaining needle lining and establish detection and the processing that about 80 people carry out remaining needle lining burr, according to testing result product is divided into certified products (as protruding burr lateral length＜0.01um, or notch burr lateral length＜0.01um, and do not have other burrs) and unacceptable product (as protruding burr lateral length 〉=0.01um, or notch burr lateral length 〉=0.01um, or above two kinds of other burrs are in addition arranged).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, can't directly use range estimation (needing use special-purpose hand magnifying glass), 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; The detection of remaining needle lining burr is the detection with very high quantity precision, 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 remaining needle lining is up to 0.5/s, and throughput rate is had very big restriction.
The content of invention
Online detection dependence to remaining needle lining burr manually detects at prior art, the workman is easy to generate visual fatigue, labour intensity is big, can't guarantee product percent of pass and detect quality, problems such as monitoring velocity is low the invention provides the automatic testing method of a kind of Vision Builder for Automated Inspection to remaining needle lining burr, and it reduces workman's detection labour intensity greatly, accuracy of detection height, speed are fast, the qualification rate of the product that can effectively guarantee to dispatch from the factory.
Technical scheme of the present invention is as follows:
A kind of Vision Builder for Automated Inspection may further comprise the steps the automatic testing method of remaining needle lining burr:
(1) the remaining needle lining is fixed on the frock bar anchor clamps, makes frock bar anchor clamps on-line operation, the shooting camera is fixed on frock bar anchor clamps one side of on-line operation; According to the size of remaining needle lining to be detected and remaining needle lining towards, select the focal length of camera lens, adjust shooting angle, enlargement factor, shooting distance, aperture size, the time shutter of taking camera, so that obtain photographic images clearly;
(2) the burr lateral length with remaining needle gasket end chamfered portion is made as the detection parameter, and the accuracy of detection and the acceptability limit of described detection parameter are set according to customer requirements;
(3) computing machine is obtained camera and synchronous triggering and the control signal of production process, starts the image that described camera is taken on-line operation remaining needle lining burr in real time by external trigger and control signal, and the image of taking is transferred to computing machine for detecting;
(4) computing machine is handled by image algorithm, extracts the image of remaining needle lining burr; Find not have the burr image as if handling, think that then there is not burr in this remaining needle lining, belong to certified products, sort out from certified products letter sorting mouth through image algorithm;
(5) computing machine calculates the size of described remaining needle lining burr; Protrude burr for the remaining needle lining, calculate described protrusion burr and remaining needle lining edge tie point and protrude the outer lateral extent remaining needle lining vertical centre solstics of burr distance between the two, this distance value also is the lateral length value of described protrusion burr; For remaining needle lining notch burr, calculate described notch burr and remaining needle lining edge tie point and notch burr inner distance remaining needle lining vertical centre closest approach distance between the two, this distance value also is the lateral length value of described notch burr;
(6) judge that by the burr size that calculates this product belongs to certified products, or waste product, rejects waste product by external trigger and control signal from the discharging opening of appointment.
Its further technical scheme is: to described (6) step, specifically carry out the judgement and the go-on-go of burr by following step:
(7) judge that whether burr is to protrude burr or notch burr, then turns to for (8) step if protrude burr, if the notch burr then turned to for (9) step; If other unknown flaws then turned to for (11) step;
(8) whether the lateral length of judging protrusion burr image is at acceptability limit＜0.01um, as then turned to for (10) step at acceptability limit, if then turned to for (11) step more than or equal to acceptability limit 〉=0.01um;
(9) whether the lateral length of judging notch burr image is at acceptability limit＜0.01um, as then turned to for (10) step at acceptability limit, if then turned to for (11) step more than or equal to acceptability limit 〉=0.01um;
(10) sort as certified products;
(11) directly as goods rejection.
And its further technical scheme is: to described (6) step, when detecting product and be waste product, computing machine will carry out picture cues by man-machine interface, and start warning device.
Useful technique effect of the present invention is:
The present invention adopts Vision Builder for Automated Inspection that remaining needle lining burr 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 by 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 Vision Builder for Automated Inspection detection speed can reach 3 ~ 4/s, and the product detection speed of 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 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.Quantize to detect and guarantee that improper defect rate generally about 8 ~ 10%, has caused the significant wastage of the resources of production and production cost by artificial being difficult to; The detection dimensional accuracy of Vision Builder for Automated Inspection is up to 0.001um, and precision can be adjusted, and is set to 0.001,0.002,0.005, several accuracy classes such as 0.01um, thereby improves product percent of pass greatly and detect quality.
Description of drawings
Fig. 1 is normal remaining needle lining image.
Fig. 2 has the remaining needle lining image that protrudes burr.
Fig. 3 is the remaining needle lining image that the notch burr is arranged.
Fig. 4 is a process sequence diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing the specific embodiment of the present invention is described further.
Fig. 1, Fig. 2, Fig. 3 take from remaining needle lining side and real image after treatment.
In Fig. 2, photographic images shown in Figure 3, in order better to distinguish figure, burr partly adopts the shape of general burr to represent the burr classification among the figure, and has carried out the exaggeration expression; Blank parts is a remaining needle lining image through the transparent space after the denoising software processes all around, shown in lines be the contour images of remaining needle lining after handling.
Embodiment 1, to the detection of protruding the burr product is arranged:
Protrusion burr image as shown in Figure 2, wherein the outshot of upper right quarter is for protruding the visual pattern of burr.
Basler ACA640-100GM type industrial camera is fixed on the side of remaining needle lining, camera is about 20mm apart from the distance of remaining needle lining side, uses to execute and bears 50 times of amplification zooms change times camera lenses, and focal length transfers to 16mm, aperture is transferred to maximal value, and the time shutter is adjusted to 0.41ms.Protrude the burr accuracy of detection and be set to 0.001um, the setting certified products normally protrude the burr lateral length and are 0.01um to the maximum.Adopt special-purpose white fiber optic point source, shine (backlight) from the heteropleural side of camera, and use and semiclosedly block the influence that the metal framework shields extraneous veiling glare, so that obtain visual pattern more stablely, embody the obvious characteristic that the remaining needle lining protrudes burr.The optical fiber source of this project uses the machine vision special light source (also can use the optical fiber 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 (faller gill) on the production line to carry out the conveying of remaining needle lining, guarantee that the remaining needle lining by certain direction and speed, stably enters pick-up unit with belt transmission system.
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 described industrial camera and take the image of the remaining needle lining of on-line operation, and the protrusion burr image that will obtain, be stored in the computing machine.
Computing machine carries out Flame Image Process to captured image by edge extracting, smoothing denoising, binary conversion treatment, Fourier Tranform scheduling algorithm, makes image more clear, more meets the truth that the remaining needle lining protrudes burr.The algorithm that is adopted in the above-mentioned image processing process is conventional algorithm of the prior art.
Computing machine calculates the lateral length that the remaining needle lining protrudes burr.This length is described protrusion burr and remaining needle lining edge tie point and the distance (getting maximal value) of protruding the outer lateral extent remaining needle lining vertical centre solstics of burr, and this distance value also is the lateral length value of described protrusion burr.
As detected lateral length value is 0.004um, and then this product is certified products; As detected lateral length value is 0.011um, and then this product is a unacceptable product.Computing machine is pointed out the unacceptable product situation by friendly man-machine interface in image, and gives sound, light alarm, and certified products are write down, classify, add up warehouse-in.
Embodiment 2, to the detection of notch burr product is arranged:
Notch burr as shown in Figure 3 (opening steam bubble flaw) image, the visual pattern that wherein upper right barbed portion forms for the notch burr.
Basler ACA640-100GM type industrial camera is fixed on the side of remaining needle lining, camera is about 20mm apart from the distance of remaining needle lining side, uses to execute and bears 50 times of amplification zooms change times camera lenses, and focal length transfers to 16mm, aperture is transferred to maximal value, and the time shutter is adjusted to 0.41ms.Notch burr accuracy of detection is set to 0.001um, sets the normal notch burr of certified products lateral length and is 0.01um to the maximum.Adopt special-purpose white fiber optic point source, shine (backlight) from the heteropleural side of camera, and use and semiclosedly block the influence that the metal framework shields extraneous veiling glare, so that obtain visual pattern more stablely, embody the obvious characteristic of remaining needle lining notch burr.The optical fiber source of this project uses the machine vision special light source (also can use the optical fiber 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 (faller gill) on the production line to carry out the conveying of remaining needle lining, guarantee that the remaining needle lining by certain direction and speed, stably enters pick-up unit with belt transmission system.
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 described industrial camera and take the image of the remaining needle lining of on-line operation, and, be stored in the computing machine the notch burr image that obtains.
Computing machine carries out Flame Image Process to captured image by edge extracting, smoothing denoising, binary conversion treatment, Fourier Tranform scheduling algorithm, makes image more clear, more meets the truth of remaining needle lining notch burr.The algorithm that is adopted in the above-mentioned image processing process is conventional algorithm of the prior art.
Computing machine calculates the lateral length of remaining needle lining notch burr.This length is the distance (getting maximal value) of described notch burr and remaining needle lining edge tie point and notch burr inner distance remaining needle lining vertical centre closest approach, and this distance value also is the lateral length value of described notch burr.
As detected lateral length value is 0.004um, and then this product is certified products; As detected lateral length value is 0.012um, and then this product is a unacceptable product.Computing machine is pointed out the unacceptable product situation by friendly man-machine interface in image, and gives sound, light alarm, and certified products are write down, classify, add up warehouse-in.
In above-mentioned two embodiment, also have other unknown flaw images to occur if handle discovery through image algorithm, think that then this remaining needle lining is a unacceptable product, rejects this remaining needle lining as waste product.
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. 4.
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 Vision Builder for Automated Inspection is characterized in that may further comprise the steps to the automatic testing method of remaining needle lining burr:
(1) the remaining needle lining is fixed on the frock bar anchor clamps, makes frock bar anchor clamps on-line operation, the shooting camera is fixed on frock bar anchor clamps one side of on-line operation; According to the size of remaining needle lining to be detected and remaining needle lining towards, select the focal length of camera lens, adjust shooting angle, enlargement factor, shooting distance, aperture size, the time shutter of taking camera, so that obtain photographic images clearly;
(2) the burr lateral length with remaining needle gasket end chamfered portion is made as the detection parameter, and the accuracy of detection and the acceptability limit of described detection parameter are set according to customer requirements;
(3) computing machine is obtained camera and synchronous triggering and the control signal of production process, starts the image that described camera is taken on-line operation remaining needle lining burr in real time by external trigger and control signal, and the image of taking is transferred to computing machine for detecting;
(4) computing machine is handled by image algorithm, extracts the image of remaining needle lining burr; Find not have the burr image as if handling, think that then there is not burr in this remaining needle lining, belong to certified products, sort out from certified products letter sorting mouth through image algorithm;
(5) computing machine calculates the size of described remaining needle lining burr; Protrude burr for the remaining needle lining, calculate described protrusion burr and remaining needle lining edge tie point and protrude the outer lateral extent remaining needle lining vertical centre solstics of burr distance between the two, this distance value also is the lateral length value of described protrusion burr; For remaining needle lining notch burr, calculate described notch burr and remaining needle lining edge tie point and notch burr inner distance remaining needle lining vertical centre closest approach distance between the two, this distance value also is the lateral length value of described notch burr;
(6) judge that by the burr size that calculates this product belongs to certified products, or waste product, rejects waste product by external trigger and control signal from the discharging opening of appointment.
2. according to the automatic testing method of the described Vision Builder for Automated Inspection of claim 1, it is characterized in that described (6) step is specifically carried out the judgement and the go-on-go of burr by following step to remaining needle lining burr:
(7) judge that whether burr is to protrude burr or notch burr, then turns to for (8) step if protrude burr, if the notch burr then turned to for (9) step; If other unknown flaws then turned to for (11) step;
(8) whether the lateral length that judge to protrude the burr image at acceptability limit＜0.01um, as then turning to for (10) step at acceptability limit, if 〉=0.01um then turned to for (11) step;
(9) whether the lateral length of judging notch burr image at acceptability limit＜0.01um, as then turning to for (10) step at acceptability limit, if 〉=0.01um then turned to for (11) step;
(10) sort as certified products;
(11) directly as goods rejection.
3. according to the automatic testing method of the described Vision Builder for Automated Inspection of claim 1, it is characterized in that to described (6) step when detecting product and be waste product, computing machine will carry out picture cues by man-machine interface, and start warning device to remaining needle lining burr.
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Citations (3)
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| CN201408031Y (en) * | 2009-05-07 | 2010-02-17 | 深圳市比克电池有限公司 | Battery pole piece burr detecting device |
| CN201731837U (en) * | 2010-06-17 | 2011-02-02 | 江苏通达动力科技股份有限公司 | Burr detection device |
| CN201828525U (en) * | 2010-10-11 | 2011-05-11 | 庄鸿 | Automatic detection system for disposable syringe needles |
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| JP2009092474A (en) * | 2007-10-05 | 2009-04-30 | Denso Corp | Flash detection method for molded article |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201408031Y (en) * | 2009-05-07 | 2010-02-17 | 深圳市比克电池有限公司 | Battery pole piece burr detecting device |
| CN201731837U (en) * | 2010-06-17 | 2011-02-02 | 江苏通达动力科技股份有限公司 | Burr detection device |
| CN201828525U (en) * | 2010-10-11 | 2011-05-11 | 庄鸿 | Automatic detection system for disposable syringe needles |
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| JP特开2009-92474A 2009.04.30 |
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