CN102495072A - Automatic detection method for flaw of transfusion catheter through machine vision system - Google Patents
Automatic detection method for flaw of transfusion catheter through machine vision system Download PDFInfo
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- CN102495072A CN102495072A CN2011103590505A CN201110359050A CN102495072A CN 102495072 A CN102495072 A CN 102495072A CN 2011103590505 A CN2011103590505 A CN 2011103590505A CN 201110359050 A CN201110359050 A CN 201110359050A CN 102495072 A CN102495072 A CN 102495072A
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Abstract
The invention provides an automatic detection method for a flaw of a transfusion catheter through a machine vision system. The method comprises the following steps of: pre-shooting an image of a standard transfusion catheter as a standard image of the transfusion catheter and storing the image in a computer, determining whether the pre-shot image and the standard image of the transfusion catheter have a difference and setting the difference as a detection parameter, starting a camera to shoot an image of an on-line working transfusion catheter in a real-time manner through an external trigger and a control signal, transmitting the shot image to a computer for detecting, performing an image algorithm treatment through the computer, extracting the image of the transfusion catheter, comparing the image of the transfusion catheter with the standard image of the transfusion catheter, judging whether a product is a qualified product or a defective product, and rejecting the defective product from an appointed discharge hole through the external trigger and the control signal. The automatic detection method, provided by the invention, has the advantages of high detection precision and quick speed on the flaw of the transfusion catheter, so that the qualified rate of the products 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 transfusion catheter production scene method of utilizing NI Vision Builder for Automated Inspection whether to exist flaws such as bubble, cut, foreign matter to detect automatically transfusion catheter.
Background technology
Whether the transfusion catheter workshop in line production is on-the-spot, need exist flaws such as bubble, cut, foreign matter to carry out online detection to transfusion catheter.In the prior art; Online detection to the transfusion catheter flaw relies on manual work to detect; Produce the machine side at transfusion catheter and establish detection and the processing that about 80 people carry out the various flaws of transfusion catheter, product is divided into certified products (indefectible) and unacceptable product (flaw is arranged) 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; The flaw kind of transfusion catheter is numerous, and the flaw that has is very tiny, 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 of professional's transfusion catheter flaw is up to 0.5/s, and throughput rate is had very big restriction.
Summary of the invention
Online detection dependence manual work to the transfusion catheter flaw 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 transfusion catheter flaw, 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 transfusion catheter flaw:
(1) transfusion catheter is fixed on the frock bar anchor clamps, makes frock bar anchor clamps on-line operation, taking frock bar anchor clamps one side of camera fixing at on-line operation; According to the size of transfusion catheter to be detected and transfusion catheter 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 transfusion catheter in advance, and the image of taking is transferred to computing machine; Computing machine is handled through image algorithm; Extract the image of transfusion catheter, this transfusion catheter image that obtains as the transfusion catheter standard picture, is stored in the computing machine;
(3) will whether there are differences with the transfusion catheter standard picture and be made as the detection parameter;
(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 transfusion catheter 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 image of transfusion catheter;
(6) whether computing machine exists flaw to detect to said transfusion catheter; This detection is that said transfusion catheter image and transfusion catheter standard picture are compared, and detects in the transfusion catheter image whether have the figure that does not have in the transfusion catheter standard picture;
(7) judge that through image difference 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 flaw by following step:
(8) judge whether to exist flaw, if do not exist flaw then to turn to for (9) step, if exist flaw then to turn to for (10) step;
(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:
Whether the present invention adopts NI Vision Builder for Automated Inspection to exist bubble, cut, foreign matter flaw to carry out automatic on-line to transfusion catheter and detects, replace manual detection.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 higher, thereby improves product percent of pass greatly and detect quality.
Description of drawings
Fig. 1 is flawless transfusion catheter image.
Fig. 2 is the transfusion catheter image that has bubble.
Fig. 3 is the transfusion catheter image that has cut.
Fig. 4 is the transfusion catheter image that has foreign matter
Fig. 5 is a process sequence diagram of the present invention.
Embodiment
Further specify below in conjunction with the accompanying drawing specific embodiments of the invention.
What Fig. 1, Fig. 2, Fig. 3, Fig. 4 showed is from positive shooting of transfusion catheter and real image after treatment.
In Fig. 1, Fig. 2, Fig. 3, photographic images shown in Figure 4, blank parts is the transparent space of transfusion catheter image after through the denoising software processes all around, shown in the solid line bar be the contour images after transfusion catheter is handled.Because transfusion catheter is longer, omit a part among the figure, clipped is represented with double dot dash line.
Embodiment 1, to the detection of the transfusion catheter product that has bubble:
Transfusion catheter image as shown in Figure 2, there is bubble in its top.
Basler ACA640-100GM type industrial camera is fixed on the dead ahead of transfusion catheter, and camera is about 100mm apart from the distance of transfusion catheter side, 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.Adopt special-purpose White LED bowl light source; Shine (backlight) from the heteropleural side of the relative transfusion catheter 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 transfusion catheter.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 transfusion catheter is fixed, make each transfusion catheter unification towards.Carry out the conveying of transfusion catheter through belt transmission system, guarantee that transfusion catheter by certain direction and speed, stably gets into pick-up unit.
Start said industrial camera; Take the image of a flawless standard transfusion catheter in advance; And the image of taking transferred to computing machine, computing machine is handled through image algorithm, extracts the image of transfusion catheter; This transfusion catheter image that obtains as transfusion catheter standard picture (like Fig. 1), is stored in the computing machine.
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 transfusion catheter of on-line operation, and, be stored in the computing machine the transfusion catheter 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 transfusion catheter.The algorithm that is adopted in the above-mentioned image processing process is conventional algorithm of the prior art.
Computing machine compares said transfusion catheter image and transfusion catheter standard picture; Detecting has non-existent figure A in the transfusion catheter standard picture in this transfusion catheter image, this figure A is the figure that bubble produces, and then this product is a 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.
Embodiment 2, to the detection of the transfusion catheter product that has bubble:
Transfusion catheter image as shown in Figure 3, there is cut in the center.
Basler ACA640-100GM type industrial camera is fixed on the dead ahead of transfusion catheter, and camera is about 100mm apart from the distance of transfusion catheter side, 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.Adopt special-purpose White LED bowl light source; Shine (backlight) from the heteropleural side of the relative transfusion catheter 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 transfusion catheter.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 transfusion catheter is fixed, make each transfusion catheter unification towards.Carry out the conveying of transfusion catheter through belt transmission system, guarantee that transfusion catheter by certain direction and speed, stably gets into pick-up unit.
Start said industrial camera; Take the image of a flawless standard transfusion catheter in advance; And the image of taking transferred to computing machine, computing machine is handled through image algorithm, extracts the image of transfusion catheter; This transfusion catheter image that obtains as transfusion catheter standard picture (like Fig. 1), is stored in the computing machine.
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 transfusion catheter of on-line operation, and, be stored in the computing machine the transfusion catheter 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 transfusion catheter.The algorithm that is adopted in the above-mentioned image processing process is conventional algorithm of the prior art.
Computing machine compares said transfusion catheter image and transfusion catheter standard picture; Detecting has non-existent figure B in the transfusion catheter standard picture in this transfusion catheter image, this figure B is the figure that cut produces, and then this product is a 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.
Embodiment 3, to the detection of the transfusion catheter product that has bubble:
Transfusion catheter image as shown in Figure 4, there is foreign matter in its underpart.
Basler ACA640-100GM type industrial camera is fixed on the dead ahead of transfusion catheter, and camera is about 100mm apart from the distance of transfusion catheter side, 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.Adopt special-purpose White LED bowl light source; Shine (backlight) from the heteropleural side of the relative transfusion catheter 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 transfusion catheter.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 transfusion catheter is fixed, make each transfusion catheter unification towards.Carry out the conveying of transfusion catheter through belt transmission system, guarantee that transfusion catheter by certain direction and speed, stably gets into pick-up unit.
Start said industrial camera; Take the image of a flawless standard transfusion catheter in advance; And the image of taking transferred to computing machine, computing machine is handled through image algorithm, extracts the image of transfusion catheter; This transfusion catheter image that obtains as transfusion catheter standard picture (like Fig. 1), is stored in the computing machine.
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 transfusion catheter of on-line operation, and, be stored in the computing machine the transfusion catheter 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 transfusion catheter.The algorithm that is adopted in the above-mentioned image processing process is conventional algorithm of the prior art.
Computing machine compares said transfusion catheter image and transfusion catheter standard picture; Detecting has non-existent figure C in the transfusion catheter standard picture in this transfusion catheter image, this figure C is the figure that foreign matter produces, and then this product is a 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. 5.
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 transfusion catheter flaw:
(1) transfusion catheter is fixed on the frock bar anchor clamps, makes frock bar anchor clamps on-line operation, taking frock bar anchor clamps one side of camera fixing at on-line operation; According to the size of transfusion catheter to be detected and transfusion catheter 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 transfusion catheter in advance, and the image of taking is transferred to computing machine; Computing machine is handled through image algorithm; Extract the image of transfusion catheter, this transfusion catheter image that obtains as the transfusion catheter standard picture, is stored in the computing machine;
(3) will whether there are differences with the transfusion catheter standard picture and be made as the detection parameter;
(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 transfusion catheter 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 image of transfusion catheter;
(6) whether computing machine exists flaw to detect to said transfusion catheter; This detection is that said transfusion catheter image and transfusion catheter standard picture are compared, and detects in the transfusion catheter image whether have the figure that does not have in the transfusion catheter standard picture;
(7) judge that through image difference 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 flaw by following step to the transfusion catheter flaw:
(8) judge whether to exist flaw, if do not exist flaw then to turn to for (9) step, if exist flaw then to turn to for (10) step;
(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 transfusion catheter flaw.
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Cited By (4)
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| CN103674970A (en) * | 2013-12-24 | 2014-03-26 | 中核包头核燃料元件股份有限公司 | Automatic detection method of massively produced bands |
| CN105678764A (en) * | 2016-01-06 | 2016-06-15 | 上海斐讯数据通信技术有限公司 | Processing method, processing device and mobile terminal for ear internal image data |
| CN111539342A (en) * | 2020-04-26 | 2020-08-14 | 武汉大学 | Identification system of infusion seepage |
| CN113252702A (en) * | 2021-07-02 | 2021-08-13 | 北京力耘柯创医学研究院 | Automatic detection method for defects of infusion catheter by machine vision system |
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Application publication date: 20120613 |