CN108838099A - Safety pin badge Defect Detection system and method based on machine vision - Google Patents
Safety pin badge Defect Detection system and method based on machine vision Download PDFInfo
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- CN108838099A CN108838099A CN201810262180.9A CN201810262180A CN108838099A CN 108838099 A CN108838099 A CN 108838099A CN 201810262180 A CN201810262180 A CN 201810262180A CN 108838099 A CN108838099 A CN 108838099A
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- safety pin
- badge
- conveyer belt
- pin badge
- plc controller
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
- B07C5/362—Separating or distributor mechanisms
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
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- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
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- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Image Processing (AREA)
Abstract
The present invention provides the safety pin badge Defect Detection system and method based on machine vision, system includes transfer module, detection module and rejects module, and transfer module includes conveyer belt and the PLC controller for controlling conveyer belt operation；Detection module includes image processing unit, the camera bellows structure of setting on a moving belt and the industrial camera in camera bellows structure, camera bellows structure is equipped with entrance and exit, the interlude of conveyer belt runs through the entrance and exit of camera bellows structure, and image processing unit is connect with industrial camera, PLC controller respectively；It rejecting module to be located at by the outlet of camera bellows structure, be connect with PLC controller, releasing conveyer belt for will test the safety pin badge inferior that module is identified.The present invention identifies the serious inconsistent badge of those paster patterns using industrial camera, and weeds out badge inferior, only retains excellent badge, the target for realizing fast resolution superiority and inferiority badge and rejecting badge inferior.
Description
Technical field
The present invention relates to machine vision and plc data process field, in particular to the safety pin badge flaw based on machine vision
Defect detection system and method.
Background technique
Machine vision is fast-developing branch of artificial intelligence.In brief, machine vision is exactly to use machine
It measures and judges instead of human eye.NI Vision Builder for Automated Inspection will be ingested by machine vision product (i.e. image-pickup device)
Target is converted into picture signal, sends dedicated image processing system to, obtains the shape information of target subject, according to pixel point
The information such as cloth, brightness and color, are transformed into digital signal；Image processing system carries out various operations to these digital signals to take out
Clarification of objective is taken, and then controls the device action at scene according to the result of differentiation.
At abroad, the application popularization of machine vision is mainly reflected in semiconductor and electronics industry, wherein general 40%-50%
All concentrate on semicon industry.NI Vision Builder for Automated Inspection is also widely used in the various aspects of quality testing, and its
Product is in the application in occupation of very important status.Start from the nineties in the application of China, vision technique, machine vision produces
Product technology it is universal not enough, lead to the application almost blank of the above every profession and trade.
Most of safety pin badge currently on the market be it is made, the paster inside safety pin badge is manually to cut out
, this will generate different paster apperances, and then keep the badge being manually made into inconsistent.After badge manually makes, to it
The Defect Detection carried out is also by the way of manual identified substantially, and time-consuming and laborious, accuracy is not also high.
Summary of the invention
In order to solve the problems of prior art, the present invention proposes the safety pin badge Defect Detection based on machine vision
System and method is identified the serious inconsistent badge of those paster patterns using industrial camera, and weeds out emblem inferior
Chapter only retains excellent badge, the target for realizing fast resolution superiority and inferiority badge and rejecting badge inferior.
Defect Detection system of the present invention adopts the following technical scheme that realize：Safety pin badge flaw inspection based on machine vision
Examining system, including transfer module, detection module and rejecting module, transfer module include conveyer belt and run for controlling conveyer belt
PLC controller；Detection module includes image processing unit, camera bellows structure on a moving belt is arranged and is located in camera bellows structure
Industrial camera, camera bellows structure is equipped with entrance and exit, and the interlude of conveyer belt runs through the entrance and exit of camera bellows structure, figure
As processing unit is connect with industrial camera, PLC controller respectively；It rejects module to be located at by the outlet of camera bellows structure, be controlled with PLC
Device connection processed releases conveyer belt for will test the safety pin badge inferior that module is identified；
After safety pin badge is placed on conveyer belt, conveyer belt starts to be conveyed to and through PLC controller progress timing；Work as biography
Send band that safety pin badge is sent in camera bellows structure, conveyer belt stops transmission, and PLC controller starts to image processing unit transmission
Defect Detection signal；Image processing unit starts Defect Detection operation after receiving beginning Defect Detection signal, is imaged according to industry
Safety pin badge image captured by machine carries out Defect Detection to the surface of safety pin badge, and will test result and be sent to PLC control
Device, while Defect Detection end signal is sent to PLC controller；PLC controller is after receiving Defect Detection end signal, control
Conveyer belt processed continues to transmit；When the testing result that PLC controller receives is safety pin badge inferior, then controls and reject module fortune
It is dynamic, safety pin badge inferior is released into conveyer belt.
Preferably, the rejecting module includes photoelectric door and cylinder, and photoelectric door and cylinder are connect with PLC controller respectively,
In conveyor belt two sides one photoelectric door is installed respectively, pushing hands is housed before cylinder.
The cylinder is fixed on the height and position higher than conveyer belt by pedestal；One end of the pushing hands is connect with cylinder,
Other end is travelled to and fro between at the top of conveyer belt between conveyer belt side with the stretching motion of cylinder；It is received when PLC controller
When testing result is safety pin badge inferior, then cylinder moving is controlled, cylinder driving pushing hands moves at the top of conveyer belt, thus by bad
The safety pin badge of matter releases conveyer belt.Pushing hands can choose rectangular configuration, and width is greater than the diameter of safety pin badge；The width of pushing hands
Degree is 3-4 times of safety pin badge diameter, can obtain more preferably effect.
The present invention is based on the safety pin badge flaw detection methods of machine vision, using the above-mentioned safety pin emblem based on machine vision
Chapter Defect Detection system, and include the following steps：
S1, initialization, when image processing unit receives beginning Defect Detection signal, industrial camera starts to camera bellows
Safety pin badge in structure shoots image, and captured image is sent to image processing unit；
S2, image processing unit pre-process the image received, carry out self-adaption binaryzation, morphology to image
Opening and closing operation noise reduction process, prominent characteristics of image；
S3, the feature for safety pin badge with circular contour, the identification of circular contour are carried out to image, and according to identification
To circular contour extract the area image where safety pin badge；Extracted area image is scaled and indefectible reference
Scheme identical size；
S4, the Straight Line Identification that the second wheel is carried out to the area image extracted, with the step S3 circular contour identified
The center of circle is rotation center, by straight line on the picture that detects is that side generates a rectangle frame, and by rectifying rectangle frame
Positive method rotates to area image with indefectible with reference to the identical angle of figure；
S5, will be logical compared with the indefectible progress pixel rank with reference to figure by step S4 treated area image
One threshold value of setting is crossed, flawless safety pin badge and safety pin badge defective detected, will test result and be sent to
PLC controller.
Preferably, position of the photoelectric door detection safety pin badge in conveyer belt, and position detection signal is passed to
PLC controller；If testing result is safety pin badge inferior, when position of the safety pin badge in conveyer belt and the position where pushing hands
When identical, PLC controller will export control signal to cylinder, and cylinder drives pushing hands that safety pin badge inferior is released conveyer belt.
Compared with the existing technology, the present invention has the advantages that：Safety pin badge is detected using industrial camera
Superiority and inferiority simultaneously carries out the rejecting of badge inferior and the reservation of high-quality badge, substantially increases production efficiency；In addition, with machine learning side
Formula is compared, and the Defect Detection of badge is carried out with image procossing mode, is able to detect a variety of different patterns, greatly improves detection
The adaptability of system, requirement when pre-processing is also greatly reduced to badge sample size, is more suitable under industrial environment
It uses.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of detection system of the present invention；
Fig. 2 is the structural schematic diagram for rejecting module；
Fig. 3 is Defect Detection flow chart of the invention；
Fig. 4 is the present invention to the testing result exemplary diagram of badge figure, wherein (a), (b), (c) are badge defective, (d)
For flawless badge.
Specific embodiment
The invention will be further described with reference to the following examples and drawings., but embodiments of the present invention are not limited to
This.
Referring to Fig. 1,2, detection system of the present invention includes transfer module, detection module and rejects module, and transfer module includes
Conveyer belt 1 and the PLC controller run for controlling conveyer belt, detection module include image processing unit and are arranged in conveyer belt
On camera bellows structure 2, camera bellows structure is equipped with entrance and exit, and the interlude of conveyer belt runs through the entrance and exit of camera bellows structure,
It rejecting module to be located at by the outlet of camera bellows structure, releasing conveyer belt for will test the safety pin badge inferior that module is identified.
Detection module further includes the industrial camera in camera bellows structure and is used to provide sufficient lamp to industrial camera
The lighting apparatus of light, image processing unit are connect with industrial camera, PLC controller respectively；Camera bellows structure makes ambient
The environment inside camera bellows is not disturbed, industrial camera is made to shoot the image for being detected safety pin badge under the conditions of noiseless, and
By captured image transmitting to image processing unit.The image processing unit of detection module is further according to captured safety pin badge figure
Picture carries out Defect Detection to the surface of safety pin badge, belongs to two-dimensional detection.
In transfer module, when the speed of service of conveyer belt stops or starts to be controlled by PLC controller.PLC control
Device is realized by Serial technology and external device communication, and after safety pin badge is placed on conveyer belt, conveyer belt starts transmission simultaneously
Timing is carried out by PLC controller；When safety pin badge is sent in camera bellows structure by conveyer belt, conveyer belt stops transmission, PLC control
Device processed is sent to image processing unit starts Defect Detection signal, and image processing unit starts after receiving beginning Defect Detection signal
Defect Detection operation, and will test result and PLC controller is sent to by serial ports, while sending Defect Detection to PLC controller
End signal；PLC controller is after receiving Defect Detection end signal, and control conveyer belt continues to transmit, to realize safety pin
Pause and detection of the badge in camera bellows structure.And conveyer belt safety pin badge is transported in camera bellows structure detect with
And before badge inferior to the end rejects these steps, no longer put on badge to conveyer belt, it detects one by one, because
This not will cause badge and is overlapped this status.Detection safety pin badge arrives screening again and rejects, and the whole flow process used time is probably 5 seconds,
The too many time will not be wasted.
Rejecting module includes photoelectric door (not shown) and cylinder 3, and photoelectric door and cylinder connect with PLC controller respectively
It connects.One photoelectric door is installed respectively in conveyor belt two sides, so as to which the safety pin badge obtained after detection like clockwork is passing
Send the position of band.Cylinder is fixed on the height and position of slightly above conveyer belt by pedestal 4；One pushing hands part is housed before cylinder,
Pushing hands is connect by bolt and nut with cylinder, and one end of pushing hands 5 is connect with cylinder, and other end is round-trip with the stretching motion of cylinder
At the top of conveyer belt between conveyer belt side.When the testing result that PLC controller receives is safety pin badge inferior, then control
Cylinder moving processed, cylinder driving pushing hands moves at the top of conveyer belt, so that safety pin badge inferior is released conveyer belt.This implementation
In example, pushing hands is rectangular configuration, and width is greater than the diameter of safety pin badge, preferably 3-4 times of safety pin badge diameter, is convenient for handle
Safety pin badge inferior successfully releases conveyer belt.
The present invention is to the Defect Detection process of safety pin badge, as shown in figure 3, including the following steps：
S1, the serial ports of industrial camera and PLC controller etc. is initialized, receives beginning in image processing unit
When the signal of Defect Detection, industrial camera starts to shoot the safety pin badge (i.e. measuring samples) in camera bellows structure image, and
Captured image is sent to image processing unit.
S2, image processing unit pre-process the image received, filter out preceding 20 frame image first, avoid to be checked
Sample brings adverse effect to testing result in the rolling shadow that conveyer belt stops instant jitter, then carries out adaptive two-value to image
Change, morphology opening and closing operation noise reduction process, prominent characteristics of image.
S3, the feature for safety pin badge with circular contour, the identification of circular contour are carried out to image, and according to identification
To circular contour extract the area image where safety pin badge；Extracted area image is scaled particular size (i.e.
With indefectible with reference to the identical size of figure), convenient for the later period with it is indefectible with reference to figure compared with when reduce operand, improve entire system
Working efficiency, accuracy and the stability of system.
S4, the Straight Line Identification that the second wheel is carried out to the area image extracted, with the step S3 circular contour identified
The center of circle is rotation center, by straight line on the picture that detects is that side generates a rectangle frame, and by rectifying rectangle frame
Positive method rotates to area image with indefectible with reference to the identical angle of figure, is relatively ready for next image.
S5, will be indefectible with reference to figure progress pixel in computer with being stored in by step S4 treated area image
The comparison of point rank detected flawless badge with badge defective, and lead to by setting a suitable threshold value
It crosses serial ports and will test result and be sent to PLC controller.
For the efficiency for improving detection, the random coordinates for choosing proper ratio carry out gray value comparison, and count discrepant
Coordinate number, if variant coordinate number is more than the threshold value of setting, then it is assumed that there are flaws for the safety pin badge of detection, otherwise recognize
It is qualified for the safety pin badge of detection.
In the present invention, ready-made badge is put into conveyer belt, into the transmission band part for having camera bellows structure, transmission
Band pause for a moment, is taken pictures by the industrial camera in camera bellows structure, and image processing unit detects captured image,
PLC controller is sent a signal to after the completion of detection, conveyer belt continues to walk about.Photoelectric door can accurately detect safety pin badge and transmit
Position in band, and position detection signal is passed into PLC controller, if badge inferior, when safety pin badge is in conveyer belt
Position it is identical as the position where pushing hands when, PLC controller will export control signal to cylinder, and cylinder drives pushing hands inferior
Badge releases conveyer belt, and good badge will remain.Several situations of badge defective and flawless badge feelings
Shape, as shown in figure 4, wherein (a), (b), (c) they are badge defective, it (d) is flawless badge.
The above embodiment is a preferred embodiment of the present invention, but embodiments of the present invention are not by above-described embodiment
Limitation, other any changes, modifications, substitutions, combinations, simplifications made without departing from the spirit and principles of the present invention,
It should be equivalent substitute mode, be included within the scope of the present invention.
Claims (9)
1. the safety pin badge Defect Detection system based on machine vision, which is characterized in that including transfer module, detection module and pick
Except module, transfer module includes conveyer belt and the PLC controller for controlling conveyer belt operation；Detection module includes image procossing
Unit, the setting camera bellows structure on a moving belt and industrial camera in camera bellows structure, camera bellows structure be equipped with entrance and
Outlet, the interlude of conveyer belt run through the entrance and exit of camera bellows structure, image processing unit respectively with industrial camera, PLC
Controller connection；It rejects module to be located at by the outlet of camera bellows structure, connecting with PLC controller, being identified for will test module
Safety pin badge inferior release conveyer belt；
After safety pin badge is placed on conveyer belt, conveyer belt starts to be conveyed to and through PLC controller progress timing；Work as conveyer belt
Safety pin badge is sent in camera bellows structure, conveyer belt stops transmission, and PLC controller is sent to image processing unit starts flaw
Detect signal；Image processing unit starts Defect Detection operation after receiving beginning Defect Detection signal, according to industrial camera institute
The safety pin badge image of shooting carries out Defect Detection to the surface of safety pin badge, and will test result and be sent to PLC controller, together
When to PLC controller send Defect Detection end signal；After receiving Defect Detection end signal, control passes PLC controller
Band is sent to continue to transmit；When the testing result that PLC controller receives is safety pin badge inferior, then rejecting block motion is controlled,
Safety pin badge inferior is released into conveyer belt.
2. the safety pin badge Defect Detection system according to claim 1 based on machine vision, which is characterized in that described to pick
Except module includes photoelectric door and cylinder, photoelectric door and cylinder are connect with PLC controller respectively, install one respectively in conveyor belt two sides
A photoelectric door is equipped with pushing hands before cylinder.
3. the safety pin badge Defect Detection system according to claim 2 based on machine vision, which is characterized in that the gas
Cylinder is fixed on the height and position higher than conveyer belt by pedestal；One end of the pushing hands is connect with cylinder, and other end is with cylinder
Stretching motion travel to and fro between at the top of conveyer belt and conveyer belt side；When the testing result that PLC controller receives is poor quality
When safety pin badge, then cylinder moving is controlled, cylinder driving pushing hands moves at the top of conveyer belt, so that safety pin badge inferior be pushed away
Conveyer belt out.
4. the safety pin badge Defect Detection system according to claim 2 or 3 based on machine vision, which is characterized in that institute
Stating pushing hands is rectangular configuration, and width is greater than the diameter of safety pin badge.
5. the safety pin badge Defect Detection system according to claim 4 based on machine vision, which is characterized in that described to push away
The width of hand is 3-4 times of safety pin badge diameter.
6. the safety pin badge Defect Detection system according to claim 1 based on machine vision, which is characterized in that the inspection
Surveying module further includes in camera bellows structure for providing the lighting apparatus of light to industrial camera.
7. the safety pin badge flaw detection method based on machine vision, which is characterized in that be based on machine using as claimed in claim 2
The safety pin badge Defect Detection system of device vision, and include the following steps：
S1, initialization, when image processing unit receives beginning Defect Detection signal, industrial camera starts to camera bellows structure
Interior safety pin badge shoots image, and captured image is sent to image processing unit；
S2, image processing unit pre-process the image received, carry out self-adaption binaryzation to image, morphology is opened and closed
Operation noise reduction process, prominent characteristics of image；
S3, the feature for safety pin badge with circular contour, carry out the identification of circular contour to image, and according to recognizing
Circular contour extracts the area image where safety pin badge；Extracted area image is scaled with indefectible with reference to figure phase
Same size；
S4, the Straight Line Identification that the second wheel is carried out to the area image extracted, with the center of circle of the step S3 circular contour identified
For rotation center, by straight line on the picture that detects it is that side generates a rectangle frame, and by correcting rectangle frame
Method rotates to area image with indefectible with reference to the identical angle of figure；
S5, will be by step S4 treated area image, compared with the indefectible progress pixel rank with reference to figure, by setting
A fixed threshold value, flawless safety pin badge and safety pin badge defective detected, and will test result and are sent to PLC control
Device processed.
8. the safety pin badge flaw detection method according to claim 7 based on machine vision, which is characterized in that step S2
Before carrying out self-adaption binaryzation, morphology opening and closing operation noise reduction process to image, preceding 20 frame image is filtered out first.
9. the safety pin badge flaw detection method according to claim 7 based on machine vision, which is characterized in that the light
Electric switch detects position of the safety pin badge in conveyer belt, and position detection signal is passed to PLC controller；If testing result is
Safety pin badge inferior, when position of the safety pin badge in conveyer belt is identical as the position where pushing hands, PLC controller will be to gas
Cylinder output control signal, cylinder drive pushing hands that safety pin badge inferior is released conveyer belt.
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| CN201810262180.9A CN108838099A (en) | 2018-03-28 | 2018-03-28 | Safety pin badge Defect Detection system and method based on machine vision |
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| CN201810262180.9A CN108838099A (en) | 2018-03-28 | 2018-03-28 | Safety pin badge Defect Detection system and method based on machine vision |
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Application publication date: 20181120 |