CN113567469A - Parameter setting method of visual inspection system - Google Patents
Parameter setting method of visual inspection system Download PDFInfo
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- CN113567469A CN113567469A CN202010357098.1A CN202010357098A CN113567469A CN 113567469 A CN113567469 A CN 113567469A CN 202010357098 A CN202010357098 A CN 202010357098A CN 113567469 A CN113567469 A CN 113567469A
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- 238000011179 visual inspection Methods 0.000 title abstract 6
- 238000000034 method Methods 0.000 title abstract 2
- 238000007689 inspection Methods 0.000 abstract 4
- 238000001514 detection method Methods 0.000 abstract 2
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- 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
- G01N21/956—Inspecting patterns on the surface of objects
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/002—Measuring arrangements characterised by the use of optical techniques for measuring two or more coordinates
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
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- 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
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
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Abstract
本发明公开一种视觉检测系统的参数设定方法，其为于视觉检测系统设定检测参数时，让视觉检测系统对多个合格产品进行检测，进而获得多个产品检测数值，并计算出该数值组的标准差值，依据此标准差值配合数值组中的平均值，作为检测参数的设定值，以使检测参数合理化，降低视觉检测系统将合格产品判定为不合格品的几率，进而降低视觉检测系统于设定检测参数对操作者经验的需求，以及节省设定检测参数所需的时间。
The invention discloses a parameter setting method of a visual inspection system, which is to let the visual inspection system detect a plurality of qualified products when the inspection parameters are set by the visual inspection system, then obtain a plurality of product inspection values, and calculate the The standard deviation value of the numerical group, based on this standard deviation value and the average value in the numerical group, is used as the setting value of the detection parameters, so as to rationalize the detection parameters and reduce the probability that the visual inspection system will judge the qualified products as unqualified products, and then Reduces the visual inspection system's requirement for operator experience in setting inspection parameters, and saves time required for setting inspection parameters.
Description
Technical Field
A parameter setting method of a vision inspection system, and more particularly, to a parameter setting method for setting inspection parameters of a vision inspection system.
Background
In order to make the detection more accurate, most of the existing detection methods use a visual detection system to detect the quality and appearance of various components on a circuit board in an electronic product in an image manner, and the existing detection method is to input a standard detection value (circuit board layout) of the circuit board into the visual detection system, so that an operator of the visual detection system adjusts the standard detection value according to accumulated experiences of the operator.
Disclosure of Invention
The invention mainly aims to form a group of value groups by using a visual detection system to detect qualified products, and set detection parameters according to the standard difference value of the value groups, so that the detection parameters are rationalized, the probability that the visual detection system judges the qualified products as unqualified products is reduced, the requirements of the visual detection system on the experience of operators in setting the detection parameters are further reduced, and the time required for setting the detection parameters is saved.
To achieve the above object, the method for setting parameters of a vision inspection system according to the present invention comprises the following steps:
step A: inputting the inspection position of the product to a visual inspection system;
and B: the visual detection system detects a plurality of qualified products according to the detection positions of the products to further obtain a plurality of product detection values, and the plurality of product detection values are integrated into a group of value groups;
and C: the visual detection system calculates the standard deviation value of the numerical value group, sets the average value in the numerical value group as the maximum value of the detection parameter after adding N times of the standard deviation value, and sets the average value in the numerical value group as the minimum value of the detection parameter after subtracting N times of the standard deviation value, wherein N is greater than 0.
The parameter setting method of the vision inspection system comprises the steps that the numerical value inspected by the inspection position is an outline numerical value, a position coordinate numerical value, a color numerical value or a brightness numerical value.
Drawings
FIG. 1 is a flow chart of the present invention.
FIG. 2 is a schematic representation of a qualified product of the present invention.
FIG. 3 is a graph of values for a set of values according to the present invention.
Description of reference numerals: 1-a circuit board; 11-pads.
Detailed Description
Referring to fig. 1 to 3, it can be clearly seen that the parameter setting method of the present invention is performed when the visual inspection system sets the inspection parameters according to the following steps:
step A: inputting the inspection position of the product to a visual inspection system; the inspected value of the inspection position may be an outline value, a position coordinate value, a color value or a brightness value, in this embodiment, taking the solder pad 11 of the circuit board 1 as an example, the inspection position is converted from a design drawing file of the circuit board 1 into a layout (layout) file and input into the vision inspection system, so that the vision inspection system performs coordinate measurement for the position of the solder pad 11.
And B: a plurality of qualified products are detected by a visual detection system according to the detection position, so that the visual detection system obtains a plurality of product detection values corresponding to the detection position, and the plurality of product detection values form a group of value groups; that is, the vision inspection system coordinates the positions of the pads 11 of the plurality of circuit boards 1 and forms the coordinates of the positions of the pads 11 of the plurality of circuit boards 1 into a set of values (as shown in fig. 3).
And C: the visual detection system calculates the average value of the value group, calculates the standard difference of the value group according to the average value, adds the standard difference of N times to the average value of the value group, sets the average value as the maximum value of the detection parameter, subtracts the standard difference of N times from the average value in the value group, and sets the average value as the minimum value of the detection parameter, wherein the value of N is greater than 0; taking fig. 3 as an example, the maximum value and the minimum value of the detection parameter are set after adding and subtracting 3 times of standard deviation values to the average value, so the maximum value of the X coordinate set by the detection parameter is the average value of the X coordinate plus 3 times of standard deviation values (average +3 standard deviation), the minimum value of the X coordinate is the average value of the X coordinate minus 3 times of standard deviation values (average-3 standard deviation), similarly, the maximum value of the Y coordinate set by the detection parameter is the average value of the Y coordinate plus 3 times of standard deviation values (average +3 standard deviation), and the minimum value of the Y coordinate is the average value of the Y coordinate minus 3 times of standard deviation values (average-3 standard deviation).
Therefore, the present invention can solve the problems and disadvantages of the prior art, and the key technology of the present invention is to form a group of value sets by using qualified detection values of a plurality of products, calculate the standard difference of the value sets, and combine the average value in the value sets according to the standard difference to serve as the set value of the detection parameters, so as to rationalize the detection parameters, reduce the probability that the visual detection system judges the qualified products as unqualified products, reduce the requirements of the visual detection system on the setting of the detection parameters for the experience of the operator, save the time required for setting the detection parameters, and define more reasonable detection parameters if the experience of the operator is enough.
Claims (2)
1. A method for setting parameters of a vision inspection system, and more particularly, to a method for setting parameters of a vision inspection system, wherein the method for setting parameters of the vision inspection system comprises the following steps:
step A: inputting the inspection position of the product to a visual inspection system;
and B: the visual detection system detects a plurality of qualified products according to the detection positions of the products to further obtain a plurality of product detection values, and the plurality of product detection values are integrated into a group of value groups;
and C: the visual detection system calculates the standard deviation value of the numerical value group, sets the average value in the numerical value group as the maximum value of the detection parameter after adding N times of the standard deviation value, and sets the average value in the numerical value group as the minimum value of the detection parameter after subtracting N times of the standard deviation value, wherein N is greater than 0.
2. The method as claimed in claim 1, wherein the inspected value at the inspection position is a contour value, a position coordinate value, a color value or a brightness value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010357098.1A CN113567469A (en) | 2020-04-29 | 2020-04-29 | Parameter setting method of visual inspection system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010357098.1A CN113567469A (en) | 2020-04-29 | 2020-04-29 | Parameter setting method of visual inspection system |
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| CN113567469A true CN113567469A (en) | 2021-10-29 |
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| CN202010357098.1A Withdrawn CN113567469A (en) | 2020-04-29 | 2020-04-29 | Parameter setting method of visual inspection system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114994049A (en) * | 2022-05-18 | 2022-09-02 | 内蒙古中环光伏材料有限公司 | AOI-based detection method for automatic checking and calibrating result program |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040030514A1 (en) * | 2002-08-07 | 2004-02-12 | Popp Robert L. | System and method for identifying and exploiting quality information associated with a web converting manufacturing process |
| CN101398894A (en) * | 2008-06-17 | 2009-04-01 | 浙江师范大学 | Automobile license plate automatic recognition method and implementing device thereof |
| CN102095733A (en) * | 2011-03-02 | 2011-06-15 | 上海大学 | Machine vision-based intelligent detection method for surface defect of bottle cap |
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2020
- 2020-04-29 CN CN202010357098.1A patent/CN113567469A/en not_active Withdrawn
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040030514A1 (en) * | 2002-08-07 | 2004-02-12 | Popp Robert L. | System and method for identifying and exploiting quality information associated with a web converting manufacturing process |
| CN101398894A (en) * | 2008-06-17 | 2009-04-01 | 浙江师范大学 | Automobile license plate automatic recognition method and implementing device thereof |
| CN102095733A (en) * | 2011-03-02 | 2011-06-15 | 上海大学 | Machine vision-based intelligent detection method for surface defect of bottle cap |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114994049A (en) * | 2022-05-18 | 2022-09-02 | 内蒙古中环光伏材料有限公司 | AOI-based detection method for automatic checking and calibrating result program |
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Application publication date: 20211029 |
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