CN109433652A - The feeding progress control method of inductance detection equipment - Google Patents
The feeding progress control method of inductance detection equipment Download PDFInfo
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- CN109433652A CN109433652A CN201811294819.8A CN201811294819A CN109433652A CN 109433652 A CN109433652 A CN 109433652A CN 201811294819 A CN201811294819 A CN 201811294819A CN 109433652 A CN109433652 A CN 109433652A
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- 238000001514 detection method Methods 0.000 title claims abstract description 88
- 238000000034 method Methods 0.000 title claims abstract description 19
- 230000002950 deficient Effects 0.000 claims abstract description 31
- 239000002699 waste material Substances 0.000 claims abstract description 20
- 238000004064 recycling Methods 0.000 claims abstract description 15
- 239000000047 product Substances 0.000 claims description 31
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 claims description 17
- 229910052802 copper Inorganic materials 0.000 claims description 17
- 239000010949 copper Substances 0.000 claims description 17
- 230000001960 triggered effect Effects 0.000 claims description 10
- 239000013589 supplement Substances 0.000 claims description 9
- 208000037656 Respiratory Sounds Diseases 0.000 claims description 7
- 230000001815 facial effect Effects 0.000 claims description 6
- 210000001367 artery Anatomy 0.000 claims description 5
- JEIPFZHSYJVQDO-UHFFFAOYSA-N iron(III) oxide Inorganic materials O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 claims description 5
- 230000001678 irradiating effect Effects 0.000 claims description 5
- 238000004080 punching Methods 0.000 claims description 5
- 210000003462 vein Anatomy 0.000 claims description 5
- 230000004069 differentiation Effects 0.000 claims description 3
- 230000002093 peripheral effect Effects 0.000 claims description 3
- 230000001502 supplementing effect Effects 0.000 claims description 3
- 230000007547 defect Effects 0.000 abstract description 7
- 230000008439 repair process Effects 0.000 abstract description 7
- 238000011084 recovery Methods 0.000 abstract 1
- 230000005611 electricity Effects 0.000 description 2
- 238000004804 winding Methods 0.000 description 2
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical group [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 125000004122 cyclic group Chemical group 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000001939 inductive effect Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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- 238000010186 staining Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
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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
- B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
-
- 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
-
- 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
- B07C2301/00—Sorting according to destination
- B07C2301/0008—Electronic Devices, e.g. keyboard, displays
Landscapes
- Sorting Of Articles (AREA)
- Investigating Or Analyzing Materials By The Use Of Magnetic Means (AREA)
Abstract
Present invention discloses the feeding progress control methods of inductance detection equipment, its detection device existence foundation detects seat in the plane and at least two emphasis detect seat in the plane, and any emphasis detection seat in the plane has differences, mechanism for sorting includes waste product sorting seat in the plane, non-defective unit sorting seat in the plane, recycling sorting seat in the plane, this method can directly trigger waste product according to the detecting state of any basis detection seat in the plane and non-defective unit is classified, moreover it is possible to the classification of judgement triggering waste product, non-defective unit, recovery article is combined according to the detecting state that emphasis detects seat in the plane.The present invention realizes accurate sorting using encoder, prevents sorting from mistake occur and omitting.By the comprehensive detection to emphasis detection faces, have the characteristics of classification sorting, in addition to the classification of waste product and non-defective unit, is also equipped with time non-defective unit, multistage defective classification, being easy to classify carries out defect repair, reduces rejection rate and repairs difficulty, economizes on resources.The setting of upper limit threshold values and lower limit threshold values is easy to the specific implementation of classification sorting, is suitable for popularization and application.
Description
Technical field
The present invention relates to a kind of inductance detection more particularly to the feeding progress control methods of inductance detection equipment, belong to electricity
The technical field of sense detection control method.
Background technique
Inductor (Inductor) is the element that electric energy can be converted into magnetic energy and stored.The structure class of inductor
It is similar to transformer, but only one winding.Inductor has certain inductance, it only hinders the variation of electric current.If inductor
In the state that no electric current passes through, it will attempt that electric current is hindered to flow through it when circuit is connected；If inductor is having electric current logical
In the state of crossing, it will attempt to maintain electric current constant when circuit disconnects.Inductor is also known as choke, reactor, dynamic reactor.
Inductor is generally made of skeleton, winding, shielding case, encapsulating material, magnetic core or iron core etc., general package inductance
After shaping, it is required to carry out surface fracture, crackle, rust staining, dew copper, size etc. detection by detection device, thus will
Bad products screen.
Due to inductance small volume, surface blemish is difficult to be identified by human eye, needs to carry out by optical device
Detection substantially carries out visual identity in such a way that CCD camera is in conjunction with LED light source at present.For six faces point of inductance
Not She Zhi CCD camera for image after carry out comparing analysis, detect the surface defect of inductance.
But conventional needle is difficult to detect more comprehensive data to the single CCD camera of single side, there are detection accuracy
The problem of difference causes non-defective unit and defective products to sort fuzzy, and the situation for causing non-defective unit to sort out mistake occurs, and results in waste of resources, more
Have or even will appear defective products and sort out mistake, influences the use for loading inductive devices.
Summary of the invention
Present invention aim to address above-mentioned the deficiencies in the prior art, operation control poor for traditional inductance detection accuracy
Simple problem proposes the feeding progress control method of inductance detection equipment.
In order to achieve the above object, the technical scheme adopted by the invention is as follows:
The feeding progress control method of inductance detection equipment, the inductance detection equipment include testing agency, mechanism for sorting, intelligence
Identification mechanism, for being issued according to intelligent recognition mechanism identification information, trigger pulse controls the testing agency and mechanism for sorting is made
The encoder of industry,
The inductance includes six detection faces, and wherein at least one face is emphasis detection faces, remaining is common face,
The testing agency is equipped with the one-to-one basis detection seat in the plane in common face and for detecting emphasis detection faces at least
Two emphasis detect seats in the plane, and there are black and white, color difference exclusive or lamp source irradiating angle difference between any emphasis detection seat in the plane,
The mechanism for sorting includes waste product sorting seat in the plane, non-defective unit sorting seat in the plane, recycles sorting seat in the plane,
Intelligent recognition mechanism directly triggers waste product sorting seat in the plane according to the detecting state of any basis detection seat in the plane or non-defective unit sorts
The trigger pulse of seat in the plane,
Intelligent recognition mechanism combines judgement triggering waste product sorting seat in the plane, good according to the detecting state of all emphasis detection seats in the plane
Product sort seat in the plane, any trigger pulse in seat in the plane is sorted in recycling.
Preferably, emphasis detection seat in the plane includes that ground color detection seat in the plane, supplement black and white detection seat in the plane and supplement are color
Color detects seat in the plane,
Ground color detection seat in the plane acquisition data include the area detecting data in emphasis face, outer rim breakage area data, rust face face
Volume data, crackle area data, concave-convex area data, dew copper face volume data,
Supplementing black and white detection seat in the plane acquisition data includes the peripheral dimension contour line overall length data in emphasis face, outer rim breakage contour line
Overall length data, crack profile overall length data, concave-convex facial contour overall length data,
The colored detection seat in the plane acquisition data of supplement include outer rim breakage depth data, crack depth data, male and fomale(M&F) fluctuating data,
Reveal copper protrusion data,
Have the upper limit threshold values and lower limit threshold values for any single datum in the intelligent recognition mechanism,
The intelligent recognition mechanism is compared by whole single datums with upper limit threshold values, lower limit threshold values, comprehensive differentiation
Classification is sorted, to issue corresponding trigger pulse.
Preferably, when intelligent recognition mechanism recognizes any single datum more than upper limit threshold values, waste product sorter is triggered
The trigger pulse of position；
When intelligent recognition mechanism, which recognizes whole single datums, is below lower limit threshold values, the triggering arteries and veins of triggering non-defective unit sorting seat in the plane
Punching；
When intelligent recognition mechanism recognizes when whole single datums are below upper limit threshold values and part is higher than lower limit, triggering recycling
Sort the trigger pulse of seat in the plane.
Preferably, recycling sorting seat in the plane includes the classification mechanism for sorting that at least three detection accuracy require facial difference.
Preferably, recycling sorting seat in the plane includes level-one mechanism for sorting, second level mechanism for sorting and three-level mechanism for sorting,
It is below upper limit threshold values when intelligent recognition mechanism recognizes whole single datums, and face area data of becoming rusty, dew copper face product
According to, crack profile overall length data, outer rim breakage depth data, crack depth data, male and fomale(M&F) fluctuating data be entirely below under
When limiting threshold values, the trigger pulse of level-one mechanism for sorting is triggered,
It is below upper limit threshold values when intelligent recognition mechanism recognizes whole single datums, and face area data of becoming rusty, dew copper face product
According to, in crack profile overall length data, outer rim breakage depth data, crack depth data, male and fomale(M&F) fluctuating data partially below
When lower limit threshold values, the trigger pulse of second level mechanism for sorting is triggered,
It is below upper limit threshold values when intelligent recognition mechanism recognizes whole single datums, and face area data of becoming rusty, dew copper face product
According to, crack profile overall length data, outer rim breakage depth data, crack depth data, male and fomale(M&F) fluctuating data be all higher than under
When limiting threshold values, the trigger pulse of three-level mechanism for sorting is triggered.
The beneficial effects are mainly reflected as follows:
1. realizing accurate sorting using encoder, prevent sorting from mistake occur and omitting.
2. having the characteristics of classification sorting by the comprehensive detection to emphasis detection faces, except point of waste product and non-defective unit
Outside class, it is also equipped with time non-defective unit, multistage defective classification, being easy to classify carries out defect repair, and it reduces rejection rate and repairs difficulty,
It economizes on resources.
3. the setting of upper limit threshold values and lower limit threshold values is easy to the specific implementation of classification sorting, it is suitable for popularization and application.
Specific embodiment
The feeding progress control method of present invention offer inductance detection equipment.Technical solution of the present invention is carried out below detailed
Description, so that it is more readily understood and grasps.
The feeding progress control method of inductance detection equipment, inductance detection equipment include testing agency, mechanism for sorting, intelligence
Identification mechanism, for being issued according to intelligent recognition mechanism identification information, trigger pulse controls the testing agency and mechanism for sorting is made
The encoder of industry.
Belong to the prior art by the triggering that the pulse signal of encoder carries out each seat in the plane, details are not described herein.
Inductance includes six detection faces, and wherein at least one face is emphasis detection faces, remaining is common face.
Testing agency is equipped with the one-to-one basis detection seat in the plane in common face and for detecting emphasis detection faces at least
Two emphasis detect seat in the plane, and there are black and white, color difference exclusive or lamp source irradiating angle difference between any emphasis detection seat in the plane.
Basis detection seat in the plane is used for the ticket affirmative in common face or veto by one vote.
So-called black and white, colored difference refer to that the camera of emphasis detection seat in the plane is the difference of color camera and black and white camera.
So-called lamp source irradiating angle difference refers to the irradiating angle difference of the LED lamp source of emphasis detection seat in the plane cooperation,
LED lamp source includes cyclic annular perpendicular light source, ring center polymerization light source, tabular adjustable angle light source etc..
Mechanism for sorting includes waste product sorting seat in the plane, non-defective unit sorting seat in the plane, recycling sorting seat in the plane, i.e., in addition to waste product sorts seat in the plane
Outside non-defective unit sorting seat in the plane, it is additionally provided with the recycling sorting seat in the plane for collecting recoverable.
Intelligent recognition mechanism directly triggers waste product sorting seat in the plane or non-defective unit according to the detecting state of any basis detection seat in the plane
Sort the trigger pulse of seat in the plane.I.e. detection seat in the plane in basis directly judges that common face is qualified or unqualified.
Intelligent recognition mechanism combines judgement triggering waste product sorting seat in the plane, good according to the detecting state that whole emphasis detect seat in the plane
Product sort seat in the plane, any trigger pulse in seat in the plane is sorted in recycling.Complementation is realized according to the detection data that each emphasis detects seat in the plane,
Classification sorting is more subtly carried out to more acurrate.
In the specific embodiment of this case, emphasis detection seat in the plane includes ground color detection seat in the plane, supplement black and white detection seat in the plane
With the colored detection seat in the plane of supplement.
Wherein, acquisition data in ground color detection seat in the plane include the area detecting data in emphasis face, outer rim breakage area number
According to, rust face area data, crackle area data, concave-convex area data, dew copper face volume data.
Supplementing black and white detection seat in the plane acquisition data includes the peripheral dimension contour line overall length data in emphasis face, outer rim breakage wheel
Profile overall length data, crack profile overall length data, concave-convex facial contour overall length data.
The colored detection seat in the plane acquisition data of supplement include outer rim breakage depth data, crack depth data, male and fomale(M&F) fluctuating
Data, dew copper protrusion data.
And having the upper limit threshold values and lower limit threshold values for any single datum in intelligent recognition mechanism, upper limit threshold values refers to
The maximum value of tolerable degree of single datum, lower limit threshold values refer to the normal feasible value of single datum.
With area detecting data instance, general common six seats in the plane detection, area detecting data are single inspection data, it is assumed that
It is set to 10 units, i.e., once detecting that area detecting data are higher than 10 units, then directly determines that the inductance is unqualified.And
In this case, the upper limit threshold values of setting is greater than unique established standards of the prior art, and lower limit threshold values is equal to or slightly less than existing
Unique established standards of technology.
It is designed in this way, can more subtly classify, for example, being certainly not when area detection data is greater than upper limit threshold values
Non-defective unit, because being more than that traditional unique established standards are more.But it is slightly larger than and passes when area detection data is less than upper limit threshold values
System unique established standards when, cannot not necessarily use because requirement of each equipment to inductance be not it is unified, can general
Such to screen, the inductance slightly lower as precision carries out applicable.
Intelligent recognition mechanism is compared by whole single datums with upper limit threshold values, lower limit threshold values, comprehensive differentiation
Classification is sorted, to issue corresponding trigger pulse.
When specifically being sorted:
When intelligent recognition mechanism recognizes any single datum more than upper limit threshold values, the triggering arteries and veins of triggering waste product sorting seat in the plane
Punching；
When intelligent recognition mechanism, which recognizes whole single datums, is below lower limit threshold values, the triggering arteries and veins of triggering non-defective unit sorting seat in the plane
Punching；
When intelligent recognition mechanism recognizes when whole single datums are below upper limit threshold values and part is higher than lower limit, triggering recycling
Sort the trigger pulse of seat in the plane.
It is designed in this way, the inductance between upper limit threshold values and lower limit threshold values exists and can directly apply or can be into
The product of the secondary reparation of row.
It should be noted that traditional detection data amount is less, effective upper limit threshold values setting cannot achieve.
Specifically, by taking crack as an example, traditional detection data only includes crackle area data and crack depth data, and nothing
Method detects crack profile overall length data.It can only be screened by the setting lesser unique established standards of tolerance, very
Multiple cracks area data and crack depth data are directly determined as unqualified slightly larger than the product of standard.And this case increases crackle
The restriction of contour line overall length data, when crackle area data and crack depth data are slightly larger than the product of standard, also detection is split
Line contour line overall length data, triplicity determine that the standard of single datum can be reduced.
In the preferred embodiment of this case, recycling sorting seat in the plane includes the classification point that at least three detection accuracy require facial difference
Mechanism is picked, defective product can be classified by being classified mechanism for sorting.
Specifically, recycling sorting seat in the plane includes level-one mechanism for sorting, second level mechanism for sorting and three-level mechanism for sorting.
It is below upper limit threshold values when intelligent recognition mechanism recognizes whole single datums, and face area data of becoming rusty, dew copper face
Volume data, crack profile overall length data, outer rim breakage depth data, crack depth data, male and fomale(M&F) fluctuating data are all low
When lower limit threshold values, the trigger pulse of level-one mechanism for sorting is triggered.
The inductance that level-one mechanism for sorting is sorted belongs to the secondary non-defective unit for being different from non-defective unit, and can be used directly in precision needs
It asks in the equipment of low spot.Sell as secondary non-defective unit.
It is below upper limit threshold values when intelligent recognition mechanism recognizes whole single datums, and face area data of becoming rusty, dew copper face
Volume data, crack profile overall length data, outer rim breakage depth data, crack depth data, part in male and fomale(M&F) fluctuating data
When lower than lower limit threshold values, the trigger pulse of second level mechanism for sorting is triggered.
The inductance that second level mechanism for sorting is sorted belongs to the inductance that defect can be eliminated with secondary operation, such inductance second level
Processing cost is lower.
It is below upper limit threshold values when intelligent recognition mechanism recognizes whole single datums, and face area data of becoming rusty, dew copper face
Volume data, crack profile overall length data, outer rim breakage depth data, crack depth data, male and fomale(M&F) fluctuating data are all high
When lower limit threshold values, the trigger pulse of three-level mechanism for sorting is triggered.
The inductance that three-level mechanism for sorting is sorted also belongs to the inductance that defect can be eliminated with secondary operation, but such electricity
It is higher to feel second level processing cost, has been even more than direct production inductance cost.
Refinement explanation is carried out to the above sorting principle:
In inductance detection, rust face area data, dew copper face volume data, crack profile overall length data, outer rim breakage depth number
According to, crack depth data, male and fomale(M&F) fluctuating data be it is more important in surface fracture and repair the biggish parameter of difficulty, by with
The lower limit threshold values of upper parameter is boundary, is directly related to the secondary operation difficulty and cost of defect inductance, after classification refinement,
May be implemented time non-defective unit sell and second level processing complexity classification.
By above description it can be found that the feeding progress control method of inductance detection equipment of the present invention, using encoder
It realizes accurate sorting, prevents sorting from mistake occur and omitting.By the comprehensive detection to emphasis detection faces, has classification point
The characteristics of picking is also equipped with time non-defective unit, multistage defective classification in addition to the classification of waste product and non-defective unit, and being easy to classify carries out defect and repair
It is multiple, it reduces rejection rate and repairs difficulty, economize on resources.The setting of upper limit threshold values and lower limit threshold values is easy to classification sorting
Specific implementation, is suitable for popularization and application.
Technical solution of the present invention is fully described above, it should be noted that specific embodiment party of the invention
Formula is simultaneously not limited by the description set out above, the Spirit Essence of those skilled in the art according to the present invention structure, method or
All technical solutions that function etc. is formed using equivalents or equivalent transformation, all fall within protection scope of the present invention
Within.
Claims (5)
1. the feeding progress control method of inductance detection equipment, the inductance detection equipment includes testing agency, mechanism for sorting, intelligence
Energy identification mechanism controls the testing agency and mechanism for sorting for issuing trigger pulse according to intelligent recognition mechanism identification information
The encoder of operation,
It is characterized by:
The inductance includes six detection faces, and wherein at least one face is emphasis detection faces, remaining is common face,
The testing agency is equipped with the one-to-one basis detection seat in the plane in common face and for detecting emphasis detection faces at least
Two emphasis detect seats in the plane, and there are black and white, color difference exclusive or lamp source irradiating angle difference between any emphasis detection seat in the plane,
The mechanism for sorting includes waste product sorting seat in the plane, non-defective unit sorting seat in the plane, recycles sorting seat in the plane,
Intelligent recognition mechanism directly triggers waste product sorting seat in the plane according to the detecting state of any basis detection seat in the plane or non-defective unit sorts
The trigger pulse of seat in the plane,
Intelligent recognition mechanism combines judgement triggering waste product sorting seat in the plane, good according to the detecting state of all emphasis detection seats in the plane
Product sort seat in the plane, any trigger pulse in seat in the plane is sorted in recycling.
2. the feeding progress control method of inductance detection equipment according to claim 1, it is characterised in that: the emphasis detection
Seat in the plane includes ground color detection seat in the plane, supplements black and white detection seat in the plane and the colored detection seat in the plane of supplement,
Ground color detection seat in the plane acquisition data include the area detecting data in emphasis face, outer rim breakage area data, rust face face
Volume data, crackle area data, concave-convex area data, dew copper face volume data,
Supplementing black and white detection seat in the plane acquisition data includes the peripheral dimension contour line overall length data in emphasis face, outer rim breakage contour line
Overall length data, crack profile overall length data, concave-convex facial contour overall length data,
The colored detection seat in the plane acquisition data of supplement include outer rim breakage depth data, crack depth data, male and fomale(M&F) fluctuating data,
Reveal copper protrusion data,
Have the upper limit threshold values and lower limit threshold values for any single datum in the intelligent recognition mechanism,
The intelligent recognition mechanism is compared by whole single datums with upper limit threshold values, lower limit threshold values, comprehensive differentiation
Classification is sorted, to issue corresponding trigger pulse.
3. the feeding progress control method of inductance detection equipment according to claim 2, it is characterised in that:
When intelligent recognition mechanism recognizes any single datum more than upper limit threshold values, the triggering arteries and veins of triggering waste product sorting seat in the plane
Punching；
When intelligent recognition mechanism, which recognizes whole single datums, is below lower limit threshold values, the triggering arteries and veins of triggering non-defective unit sorting seat in the plane
Punching；
When intelligent recognition mechanism recognizes when whole single datums are below upper limit threshold values and part is higher than lower limit, triggering recycling
Sort the trigger pulse of seat in the plane.
4. the feeding progress control method of inductance detection equipment according to claim 3, it is characterised in that:
Recycling sorting seat in the plane includes the classification mechanism for sorting that at least three detection accuracy require facial difference.
5. the feeding progress control method of inductance detection equipment according to claim 4, it is characterised in that:
Recycling sorting seat in the plane includes level-one mechanism for sorting, second level mechanism for sorting and three-level mechanism for sorting,
It is below upper limit threshold values when intelligent recognition mechanism recognizes whole single datums, and face area data of becoming rusty, dew copper face product
According to, crack profile overall length data, outer rim breakage depth data, crack depth data, male and fomale(M&F) fluctuating data be entirely below under
When limiting threshold values, the trigger pulse of level-one mechanism for sorting is triggered,
It is below upper limit threshold values when intelligent recognition mechanism recognizes whole single datums, and face area data of becoming rusty, dew copper face product
According to, in crack profile overall length data, outer rim breakage depth data, crack depth data, male and fomale(M&F) fluctuating data partially below
When lower limit threshold values, the trigger pulse of second level mechanism for sorting is triggered,
It is below upper limit threshold values when intelligent recognition mechanism recognizes whole single datums, and face area data of becoming rusty, dew copper face product
According to, crack profile overall length data, outer rim breakage depth data, crack depth data, male and fomale(M&F) fluctuating data be all higher than under
When limiting threshold values, the trigger pulse of three-level mechanism for sorting is triggered.
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| CN106583259A (en) * | 2017-01-20 | 2017-04-26 | 林钰贸 | Intelligent express package sorting system based on RFID technique |
| CN106670127A (en) * | 2017-03-07 | 2017-05-17 | 上海微松工业自动化有限公司 | Full-automatic visual inspection system for screen defects |
| CN107175219A (en) * | 2017-06-30 | 2017-09-19 | 苏州优纳科技有限公司 | FPC appearance inspection machines and its two-sided inspection body, inspection method |
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