CN108020550A - Application process of the electronics images capture technique in industrial product quality inspection - Google Patents

Application process of the electronics images capture technique in industrial product quality inspection Download PDF

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Publication number
CN108020550A
CN108020550A CN201610969895.9A CN201610969895A CN108020550A CN 108020550 A CN108020550 A CN 108020550A CN 201610969895 A CN201610969895 A CN 201610969895A CN 108020550 A CN108020550 A CN 108020550A
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China
Prior art keywords
product
detected
image
electronics
application process
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Chinese (zh)
Inventor
李顺海
麻中锋
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Shandong Heaven And Green Packaging Technology Co Ltd
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Shandong Heaven And Green Packaging Technology Co Ltd
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Priority to CN201610969895.9A priority Critical patent/CN108020550A/en
Publication of CN108020550A publication Critical patent/CN108020550A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/94Investigating contamination, e.g. dust
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • G06T7/001Industrial image inspection using an image reference approach
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8887Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10004Still image; Photographic image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection

Abstract

The present invention relates to a kind of application process of electronics images capture technique in industrial product quality inspection, comprise the following steps:The first step, obtains the surface image of product to be detected, and utilizes Edge extraction algorithm, and the image of product to be detected is extracted from background;Second step, the image extracted is contrasted with the certified products image prestored, and exports comparing result.The present invention utilizes the principle of image comparison, and whether automatic decision product to be detected are qualified, have the advantages that judging result is accurate, processing speed is fast.

Description

Application process of the electronics images capture technique in industrial product quality inspection
Technical field
The present invention relates to electronic imaging detection method, especially a kind of electronics images capture technique is in industrial product quality inspection Application process.
Background technology
At present, image comparison technology have been able to realize two images are contrasted, and judge two images whether phase Together, such as face recognition technology, but application of the technology in industrial products detection at present is less, and such as current pulp goods are in hot pressing After sizing, generally also need to, by trimming and detection program, in program is detected, mainly carry out the surface of pulp goods Optical detection, such as checks that the surface of product is no there are stain, edge incompleteness and metal residual, examining the product of qualification can fill Case shipment, defective work then need to carry out repair process or directly return to mashing.Existing detection method is generally mainly by human eye Observation detection, this detection method is there are larger subjectivity, and observation be easy to cause visual fatigue to worker for a long time, influences The accuracy of detection.The Chinese invention patent of Application No. 201410546478.4 discloses a kind of dixie cup defective vision detection side Method and system and device, include the following steps:Paper is gathered in real time using the USB capture cards and CCD camera lenses that are connected with embedded system Cup image;Gray-scale map is converted the image into, adaptive threshold fuzziness and contours extract positioning dixie cup position are utilized in gray-scale map; Utilize boundary chain code extraction algorithm positioning dixie cup rim of a cup region;Using contours extract and loop truss positioning dixie cup bottom of a cup region, and Further positioning paper cup sidewall region;Ultimately generate a width dixie cup mark figure, including four parts:Paper cup mouth region domain, dixie cup Sidewall areas, paper cup bottom contour area and paper cup bottom region, perform different zones corresponding different defect algorithms and carry out Detection.Although the invention realizes the automation optical detection to dixie cup, but since its different zones uses different defect algorithms, Therefore image processing process is cumbersome, it is difficult to efficient output testing result.
Given this present invention is proposed.
The content of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide one kind to utilize image comparison technology, to judge paper Application process of the whether qualified electronics images capture technique of milk products in industrial product quality inspection, to substitute artificial detection, and It is fast with detection speed, the characteristics of accuracy rate is high.
In order to realize the purpose, the present invention adopts the following technical scheme that:
A kind of application process of electronics images capture technique in industrial product quality inspection, comprises the following steps:
The first step, obtains the surface image of product to be detected, and utilizes Edge extraction algorithm, by the image of product to be detected Extracted from background;
Second step, the image extracted is contrasted with the certified products image prestored, and exports comparing result.
According to comparing result, if the difference of two images contrast is less than setting value, qualified judgement is just exported as a result, such as The difference of fruit two images contrast is more than setting value, just exports underproof judgement result;The comparing result is inputted to described Handling device, for controlling handling device that product to be detected are correspondingly moved into certified products lay down location or defective work lay down location.
In the first step, obtain the surface image of product to be detected by way of taking pictures, the product to be detected by two into As device is imaged, the corresponding upper and lower surface for being imaged product to be detected respectively, the imaging device can obtain total Area is suitable with the area on pulp goods surface.
The handling device coordinates with imaging device, to get the upper surface figure of product to be detected in first imaging device As after, second imaging device is set to get the lower surface images of product to be detected by movement product to be detected.
The handling device has multiple stop positions, is respectively, the first image space, the second image space, certified products Placement location and defective work placement location;Handling device picks up product to be detected in the first image space, and is moved to Two image spaces, after the imaging of the second image space, product to be detected are moved to certified products and put by handling device according to comparing result Seated position or defective work placement location.
For the product to be detected in the first image space, first imaging device obtains the upper surface image of product to be detected, For the product to be detected in the second image space, second imaging device obtains the lower surface image of product to be detected
In the first step, described image Boundary extracting algorithm is Sobel edge detection operators, is comprised the following steps,
Do intensity-weighted computing in 3 × 3 neighborhoods centered on pixel, each pixel of synthetic image it is upper and lower, The weighted sum of left and right adjoint point gray scale, the weights close to template center are larger, appropriate selected threshold λ, if S (i, j)>λ, then recognize It is marginal point for point (i, j).
In second step, the process of image comparison includes, and border judges and surface blot judges;
The border is judged as, the border of product to be detected and the border of certified products is carried out registration contrast, if registration More than setting value, then the edge of product to be detected is qualified;
The surface blot is judged as, the image of product to be detected carried out gray proces, and with the gray level image of certified products Contrasted, according to both luminance differences, obtain the stain on product to be detected, set if the area of each stain is respectively less than Value, then the surface blot amount of product to be detected is qualified;
If the surface blot amount and edge of product to be detected are all qualified, the product to be detected are judged for qualification, otherwise for not It is qualified.
When being imaged to product to be detected, light supply apparatus is opened, to illuminate the surface of product to be detected.
After technical solutions according to the invention, following beneficial effect is brought:
The present invention obtains the image of product to be detected using imaging device, and by the certified products image comparison with prestoring, with Judge whether product to be detected are qualified, have the advantages that judging result is accurate, processing speed is fast, effectively overcome in human eye detection and deposit Visual fatigue and the problems such as easily influenced by subjective factor.In addition, judging result is directly used in the movement of control handling device, Handling device is set to be automatically performed the work such as carrying and the classification placement of product to be detected, to substitute hand labor, and handling device Cooperate with imaging device, by mobile pulp goods, imaging device is obtained complete pulp goods figure from different perspectives Picture, substantially increases the efficiency of work.
Brief description of the drawings
Fig. 1:The overall structure diagram of pulp goods detection device;
Fig. 2:For the structure diagram of handling device in Fig. 1;
Fig. 3:The structure diagram of product placement platform in this Fig. 1;
Fig. 4:The logic control chart of image processing section in the present invention;
Fig. 5:The action flow chart of structure division of the present invention;
Wherein:1st, rack 2, shelve platform 3, handling device 4, the first imaging device 5, the second imaging device 6, light Source device 7, product placement platform 8 to be detected, certified products placement platform 9, defective work placement platform 20, lid 21, platform Plate 22, supporting rack 23, motor 24, small pulley 25, big belt wheel 26, synchronous belt 27, rack 28, guide rail 31, rocking arm 32nd, power set 33, lifting cylinder 34, sucker fixed frame 35, sucker 36, guide rod.
Embodiment
The embodiment of the present invention is described in further detail below in conjunction with the accompanying drawings.
As shown in Figure 1 to Figure 3, a kind of pulp goods surface defects detection, including:One rack 1 fixed on the ground, peace Signal processing apparatus equipped with image processing software, and 1 relatively-stationary imaging device of rack, and one be movably arranged on it is described Be used to move and capture the handling devices 3 of pulp goods in rack 1, the handling device 3 and imaging device by cable with Signal processing apparatus connects, and the signal processing apparatus can be computer, and be stored with the image information of certified products, for Image comparison with the product to be detected collected, judges whether product to be detected are qualified.
The imaging device includes, the first imaging device 4 and the second imaging device 5, first imaging device 4 and second The gross area that imaging device 5 can obtain is suitable with the area on pulp goods surface.Wherein, the first imaging device 4 can be used for The upper surface of pulp goods is shot, the second imaging device 5 is used for the lower surface for shooting pulp goods, and signal processing apparatus will be shot To upper and lower surface of the upper and lower surface respectively with certified products of pulp goods contrasted.
Specifically, the rack 1 shelves platform 2 with a level, and the platform 2 of shelving is semicircular arc, is pacified thereon Equipped with three liftable product placement platforms, pulp goods are placed for classifying, is respectively product placement platform 7 to be detected, closes Lattice product placement platform 8 and defective work placement platform 9, the handling device 3 are installed on higher than the frame top for shelving platform 2, And can be moved between product placement platform 7 to be detected, certified products placement platform 8 and defective work placement platform 9, for carrying paper Milk products.
Under normal conditions, pulp goods to be detected can stack placement, wherein, positioned at the upper table of the pulp goods of top Face image can be obtained directly by taking pictures, its lower surface with other pulp goods due to being bonded, it is necessary to by handling device 3 first After it is separated with other pulp goods, then its lower surface take pictures and obtains image.
After the imaging of the first imaging device 4, handling device 3 takes down product to be detected from product placement platform 7 to be detected, so Product to be detected are moved to the top of the second imaging device 5 afterwards, the lower surfaces of product to be detected is carried out by the second imaging device 5 into Picture.
Specifically, the handling device 3 includes, and a rocking arm 31 being rotatablely connected with rack 1, driving rocking arm 31 is with respect to rack 1 power set 32 rotated, and positioned at the crawl section of 31 free end of rocking arm.The power set 32 include being fixedly mounted on machine Servomotor on frame 1, and the retarder being connected with servomotor, the shaft of servomotor are connected by retarder and rocking arm 31 Connect, to drive rocking arm 31 to rotate.Product placement platform 7 to be detected, certified products placement platform 8 and the defective work placement platform 9 It is distributed on same circular arc, the center of circle of the circular arc and the pivot of rocking arm 31 are on same vertical curve, the length of the rocking arm 31 Degree is same or like with the radius of circular arc.
Specifically, the crawl section includes, a lifting cylinder 33, sucker fixed frame 34, guiding mechanism, the lifting cylinder 33 cylinder body is fixedly connected with rocking arm 31, and the cylinder body is equipped with air inlet and gas outlet, and is connected with exterior air supply system, The piston rod of lifting cylinder 33 can opposing cylinder move up and down, for driving sucker fixed frame 34 to move up and down;The sucker is consolidated The bottom for determining frame 34 is provided with multiple suckers 35, and the sucker 35 is used to contact with the surface of pulp goods, and utilizes generation Negative pressure holds pulp goods.More specifically, the sucker 35 is connected by triple valve with high-pressure gas pipeline and vacuum line, It is used to pick up pulp goods when sucker 35 is connected with vacuum line, is used to put down when sucker 35 is connected with high-pressure gas pipeline Pulp goods.The sucker fixed frame 34 is fixedly connected with the piston rod of lifting cylinder 33, is driven by lifting cylinder 33 above and below it It is mobile;The guiding mechanism includes at least a guide rod 36 being fixedly connected with sucker fixed frame 34, guide rod 36 and lifting air Cylinder 33 is arranged in parallel, and the through hole coordinated with the guide rod 36 is equipped with rocking arm 31, and guide rod 36 can slide in the through hole, By the cooperation of through hole and guide rod 36, the 34 in the vertical direction movements of sucker fixed frame are ensure that.
Product placement platform 7 to be detected, certified products placement platform 8 and the defective work placement platform 9 are identical structure, point Do not include, positioned at the circular flat platen 21 shelved above platform 2, positioned at the lower section of landing slab 21 for driving landing slab 21 to lift Mobile driving mechanism, and be arranged on specific location, for the sensor with product height to be detected in place of detection platform plate 21 (not showed that in figure), when the height of product to be detected exceedes setting value, landing slab will decline.
Specifically, the driving mechanism includes, the supporting rack 22 being fixedly connected with rack 1, and support frame as described above 22 is positioned at flat The lower section of platen 21, the motor 23 being fixedly mounted on supporting rack 22, the transmission mechanism being connected with motor 23;The motor 23 Rotate the elevating movement that landing slab 21 is converted into by transmission mechanism.
The transmission mechanism includes, tape handler, rack and pinion mechanism and guide rail mechanism;The tape handler bag Include, the small pulley 24 being connected with 23 shaft of motor, the small pulley 24 is connected by synchronous belt 26 with big belt wheel 25, the gear Rackwork includes, the coaxially connected gear with big belt wheel 25, is engaged with gear and one end is fixedly connected on 21 bottom of landing slab Rack 27, the rack 27 extends downwardly perpendicular to landing slab 21, and the guide rail mechanism includes, isometric with rack 27 and set Deviate from the guide rail 28 of flank of tooth side, the sliding block being fixed on supporting rack 22 in rack 27, the guide rail 28 passes through sliding block and support Frame 22 connects, and when motor 23 rotates, small pulley 24 will be driven to rotate, the rotation of small pulley 24 is transferred to greatly by synchronous belt 26 Belt wheel 25, rotates big belt wheel 25, while the gear coaxially connected with big belt wheel 25 will rotate, and the rotation of gear makes and it The rack 27 of engagement moves linearly, to realize rising or falling for landing slab 21, while rack 28 moves, guide rail 28 with Sliding block relatively moves, and landing slab 21 is kept rectilinear movement.
For ease of installation, it is preferable that it is described shelve be provided with platform 2 with 21 size of landing slab similar in opening, the opening Closed by a removable lid 20, the lid 20 is equipped with the perforate passed through for rack 27 and guide rail 28, support frame as described above 22 can directly be fixedly connected on lid 20, and can be pulled down as an entirety from rack 1.
Preferably, the certified products placement platform 8 and defective work placement platform 9 are located at product placement platform to be detected respectively 7 both sides, and leave that can to hold be that at least one product to be detected are big between certified products placement platform 8 and product placement platform 7 to be detected Small gap, second imaging device 5 are arranged in the gap, to be carried out into when product to be detected pass through the gap to it Picture.
Preferably, the periphery of the imaging device is additionally provided with the light supply apparatus 6 for illuminating thing surface to be detected, to improve Image quality, the light supply apparatus 6 are the annular light source for being looped around imaging device periphery, can be the LED light of annular specifically Battle array.
As shown in figure 4, a kind of application process of electronics images capture technique in industrial product quality inspection, utilizes above-mentioned paper pulp Product surface defects detection detection device is completed, which comprises the following steps:
The first step, obtains the surface image of product to be detected, and utilizes Edge extraction algorithm, by the image of product to be detected Extracted from background;
Second step, the image extracted is contrasted with the certified products image prestored, and exports comparing result.
Before image comparison, the image of certified products need to be first gathered, such as by the mode taken pictures or the mode directly downloaded, The surface image of certified products is obtained, and is preserved.
Specifically, in the first step, the surface image of product to be detected is obtained by way of taking pictures, and by the image of acquisition Signal processing apparatus is transmitted to, signal processing apparatus compares and analyzes image, according to comparing result, if two images pair The difference of ratio is less than setting value, just defeated if just exporting qualified judgement as a result, the difference of two images contrast is more than setting value Go out underproof judgement result;The comparing result is presented on the display interface of signal processing apparatus, and is inputted and removed to described Shipping unit 3, for controlling handling device 3 that product to be detected are moved into certified products lay down location or defective work lay down location accordingly.
Described image Boundary extracting algorithm is Sobel edge detection operators, is comprised the following steps,
Do intensity-weighted computing in 3 × 3 neighborhoods centered on pixel, each pixel of synthetic image it is upper and lower, The weighted sum of left and right adjoint point gray scale, the weights close to template center are larger, appropriate selected threshold λ, if S (i, j)>λ, then recognize It is marginal point for point (i, j).
Sobel edge detection operators can not only produce preferable edge effect, and have smoothing effect to noise, subtract The small sensitiveness to noise.
Specifically, in second step, the process of image comparison includes, and border judges and surface blot judges;
The border is judged as, the border of product to be detected and the border of certified products is carried out registration contrast, if registration More than setting value, then the edge of product to be detected is qualified;Specifically, obtain the side of product to be detected using Sobel edge detection operators After edge curve, registration contrast is carried out with the boundary curve of certified products, and calculates the range difference of corresponding edge respectively, if difference is big In setting value, then the edge of product to be detected is judged to be unqualified, be otherwise qualification.
The surface blot is judged as, the image of product to be detected carried out gray proces, and with the gray level image of certified products Contrasted, such as both luminance differences of contrast, according to both luminance differences, obtain the stain on product to be detected, specifically, Judge the area of stain, if the area of each stain is respectively less than setting value, the surface blot amount of product to be detected is qualified, i.e., without dirt Point defect.
If the surface blot amount and edge of product to be detected are all qualified, the product to be detected are judged for qualification, otherwise for not It is qualified.
Preferably, in the first step, the upper of product to be detected is obtained by the first imaging device 4 and the second imaging device 5 respectively Surface and lower surface image, the gross area that two imaging devices can obtain are suitable with the area on pulp goods surface.
In image-detection process, the handling device 3 coordinates with imaging device, to be got in the first imaging device 4 After the upper surface image of product to be detected, the second imaging device 5 is set to get the lower surfaces of product to be detected by movement product to be detected Image.
The handling device 3 has multiple stop positions, is respectively, the first image space, the second image space, certified products Placement location and defective work placement location;Handling device 3 picks up product to be detected in the first image space, and is moved to Two image spaces, after the imaging of the second image space, product to be detected are moved to certified products by handling device 3 according to comparing result Placement location or defective work placement location.
For the product to be detected in the first image space, first imaging device 4 obtains the upper surface image of product to be detected, For the product to be detected in the second image space, second imaging device 5 obtains the lower surface image of product to be detected.
Preferably, when being imaged to product to be detected, light supply apparatus 6 is opened, to illuminate the surface of product to be detected.
With reference to shown in Fig. 5, specific operation process is:After the first imaging device 4 is taken pictures, when the upper surface of product to be detected is closed During lattice, handling device 3 removes the product to be detected from product placement platform 7 to be detected, and moves to the place of the second imaging device 5 Gap location, makes the second imaging device 5 carry out detection of taking pictures to the lower surface of product to be detected, after detection and qualification is completed, carries Product to be detected are positioned on certified products placement platform 8 by device 3, if any surface testing result is unqualified, handling device 3 is straight Connect and move to product to be detected on defective work placement platform 9.
The above is embodiments of the present invention, it is noted that for the ordinary skill in the art, not Under the premise of departing from the principle of the invention, various deformation and improvement can also be made, this should also be considered as protection scope of the present invention.

Claims (9)

1. application process of a kind of electronics images capture technique in industrial product quality inspection, it is characterised in that comprise the following steps:
The first step, obtains the surface image of product to be detected, and utilizes Edge extraction algorithm, by the image of product to be detected from the back of the body Extracted in scape;
Second step, the image extracted is contrasted with the certified products image prestored, and exports comparing result.
2. application process of the electronics images capture technique according to claim 1 in industrial product quality inspection, its feature exist In:According to comparing result, if the difference of two images contrast is less than setting value, if just exporting qualified judgement as a result, two The difference of width image comparison is more than setting value, just exports underproof judgement result;The comparing result inputs to one and carries dress Put, for controlling handling device that product to be detected are correspondingly moved into certified products lay down location or defective work lay down location.
3. application process of the electronics images capture technique according to claim 2 in industrial product quality inspection, its feature exist In:In the first step, the surface image of product to be detected is obtained by way of taking pictures, the product to be detected are by two imaging devices Be imaged, respectively the corresponding upper and lower surface for being imaged product to be detected, the gross area that the imaging device can obtain and The area on pulp goods surface is suitable.
4. application process of the electronics images capture technique according to claim 3 in industrial product quality inspection, its feature exist In:The handling device and imaging device coordinate, with after first imaging device gets the upper surface image of product to be detected, Second imaging device is set to get the lower surface images of product to be detected by movement product to be detected.
5. application process of the electronics images capture technique according to claim 4 in industrial product quality inspection, its feature exist In:The handling device has multiple stop positions, is respectively, and the first image space, the second image space, certified products place position Put and defective work placement location;Handling device picks up product to be detected in the first image space, and is moved to the second imaging Position, after the imaging of the second image space, product to be detected are moved to certified products placement location by handling device according to comparing result Or defective work placement location.
6. application process of the electronics images capture technique according to claim 5 in industrial product quality inspection, its feature exist In:For the product to be detected in the first image space, first imaging device obtains the upper surface image of product to be detected, described to treat For detection product in the second image space, second imaging device obtains the lower surface image of product to be detected.
7. application process of the electronics images capture technique according to claim 1 in industrial product quality inspection, its feature exist In:In the first step, described image Boundary extracting algorithm is Sobel edge detection operators, is comprised the following steps,
Intensity-weighted computing, the upper and lower, left and right of each pixel of synthetic image are done in 3 × 3 neighborhoods centered on pixel The weighted sum of adjoint point gray scale, the weights close to template center are larger, appropriate selected threshold λ, if S (i, j)>λ, then it is assumed that point (i, j) is marginal point.
8. application process of the electronics images capture technique according to claim 1 in industrial product quality inspection, its feature exist In:In second step, the process of image comparison includes, and border judges and surface blot judges;
The border is judged as, the border of product to be detected and the border of certified products is carried out registration contrast, if registration is more than Setting value, then the edge of product to be detected is qualified;
The surface blot is judged as, the image of product to be detected is carried out gray proces, and carry out with the gray level image of certified products Contrast, according to both luminance differences, obtains the stain on product to be detected, if the area of each stain is respectively less than setting value, The surface blot amount of product to be detected is qualified;
If the surface blot amount and edge of product to be detected are all qualified, the product to be detected are judged for qualification, otherwise to be unqualified.
9. according to claim 1-8 any one of them electronics images capture techniques industrial product quality inspection in application process, It is characterized in that:When being imaged to product to be detected, light supply apparatus is opened, to illuminate the surface of product to be detected.
CN201610969895.9A 2016-11-04 2016-11-04 Application process of the electronics images capture technique in industrial product quality inspection Pending CN108020550A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109037582A (en) * 2018-08-01 2018-12-18 武汉逸飞激光设备有限公司 Method of completing the square is bound in a kind of sealing
CN110006912A (en) * 2019-04-26 2019-07-12 上海电气集团股份有限公司 A kind of silicon steel sheet Surface Quality Inspection System and operation method for generator
CN116823233A (en) * 2023-08-30 2023-09-29 青岛巨商汇网络科技有限公司 User data processing method and system based on full-period operation and maintenance

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109037582A (en) * 2018-08-01 2018-12-18 武汉逸飞激光设备有限公司 Method of completing the square is bound in a kind of sealing
CN110006912A (en) * 2019-04-26 2019-07-12 上海电气集团股份有限公司 A kind of silicon steel sheet Surface Quality Inspection System and operation method for generator
CN116823233A (en) * 2023-08-30 2023-09-29 青岛巨商汇网络科技有限公司 User data processing method and system based on full-period operation and maintenance
CN116823233B (en) * 2023-08-30 2023-11-07 青岛巨商汇网络科技有限公司 User data processing method and system based on full-period operation and maintenance

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Application publication date: 20180511