KR20200040604A - A method for automatically controlling an illumination of machine vision system, and an apparatus thereof - Google Patents

Abstract

An object of the present invention is to provide a method and an apparatus for automatically controlling lighting of a machine vision system which can further improve reliability and consumer satisfaction for a product. Provided is a method for automatically controlling lighting of a machine vision system. The method may include the following steps of: extracting a reference luminance value; obtaining an illumination luminance value; comparing the obtained illumination luminance value with the extracted reference luminance value; calculating a gain of the lighting from a result of the comparison; and correcting the lighting based on the calculated gain of the lighting.

Description

A METHOD FOR AUTOMATICALLY CONTROLLING AN ILLUMINATION OF MACHINE VISION SYSTEM, AND AN APPARATUS THEREOF

The present invention relates to a method and apparatus for automatically controlling lighting of a machine vision system, and more specifically, to inspect an inspection object having the same amount of light irradiated to the inspection object to determine whether the inspection object is defective. By keeping the lighting constant, the machine vision system's lighting can improve the reliability of inspection targets and provide quality products to consumers, thereby further improving the reliability and customer satisfaction of products. The invention relates to a method and apparatus for automatically controlling it.

In general, various defects such as dust, stains, and scratches may be generated in the production process of a product. Various inspection methods such as visual observation, optical inspection, radiation transmission inspection, and electromagnetic induction inspection are used to inspect such defects. Can be used.

Among these methods, optical inspection is a method of inspecting defects existing in an object to be inspected using light, and is, for example, a method commonly used in manufacturing processes of displays, semiconductors, and related circuits.

In particular, the optical inspection can be performed by using an optical inspection device, and in the inspection process, after irradiating light to the inspection object, an image after the light is irradiated through the image acquisition device is obtained to determine whether or not a defect exists. The quality of the light source provided by the lighting device of the optical inspection device has a significant influence on the optical inspection, and the possibility of an erroneous determination case increases according to the quality of the light source provided by the optical inspection device.

In particular, in the light source device in the conventional optical inspection device, all of the output light is manually adjusted based on the actual inspection result. The problem of not being able to stably guarantee the quality of product inspection is that not only wasting both manpower and time wasted by manually adjusting the light, but there is a limit to equalizing inspection standards among a plurality of optical inspection devices. There was.

In addition, in a system having a plurality of lines to simultaneously inspect a plurality of inspection targets, when a difference in light amount occurs between the lights arranged on each line, not only the vision recognition rate is lowered due to the brightness of different images, but also the vision There is a problem that the reliability and accuracy of the inspection can be lowered.

Therefore, the machine vision system acquires the actual brightness of the light that irradiates the object to be inspected using a camera, and automatically corrects the light based thereon, and accordingly, maintains the brightness of the light constant for each line, thereby improving inspection recognition rate and reliability. There is an increasing need in the art for a new type of machine vision system that can improve the performance.

The present invention is to solve the above problems, the present invention is to determine whether or not the inspection object is defective, the light quantity of the light output to the inspection object to be kept constant for a plurality of lights inspecting the same inspection object to the inspection object Providing a method and apparatus for automatically controlling the lighting of a machine vision system that can provide high-quality products to consumers while improving inspection reliability, and thus improve reliability and consumer satisfaction of products The purpose.

In addition, the present invention not only saves time and money by more efficiently inspecting whether a plurality of inspection objects are defective, but also a method for automatically controlling lighting of a machine vision system that can improve the productivity of inspection objects and the same It is an object to provide a device.

A method of automatically controlling illumination of a machine vision system according to an embodiment of the present invention for solving the above technical problem includes: extracting a reference luminance value; Obtaining an illumination intensity value; Comparing the obtained illumination luminance value with the extracted reference luminance value; Calculating a gain of the lighting from the result of the comparison; And correcting the lighting based on the calculated gain of the lighting.

Further, more preferably, the step of extracting the reference luminance value may include: acquiring, through a camera, the amount of light reflected from each of a plurality of lights of the same type reflected by the standard specimen; And extracting the reference luminance value based on the amount of light obtained for each of the plurality of lights.

Further, more preferably, the step of extracting the reference luminance value based on the amount of light obtained for each of the plurality of lights, extracting the reference luminance value by averaging the amount of light obtained for each of the plurality of lights It may include steps.

In addition, more preferably, calculating the offset of the illumination from the result of the comparison; And correcting the lighting based on the calculated offset of the lighting.

In addition, in a computer-readable recording medium according to another embodiment of the present invention for solving the above technical problem, a program for performing the above method may be recorded.

In addition, a machine vision system capable of automatic lighting control according to a further embodiment of the present invention for solving the above technical problem extracts a reference luminance value, acquires an illumination luminance value, and recalls the obtained illumination luminance value. A computing device configured to compare the extracted reference luminance value and to calculate the gain of illumination from the result of the comparison; And a lighting controller configured to calibrate the lighting based on the gain of the light output from the computing device.

Further, more preferably, the computing device acquires, through a camera, the amount of light reflected from each of a plurality of illuminations of the same type reflected by the standard specimen; And it may be configured to extract the reference luminance value based on the amount of light obtained for each of the plurality of lights.

Further, more preferably, the computing device may be further configured to extract the reference luminance value by averaging the amount of light obtained for each of the plurality of lights.

Further, more preferably, the calculating device is further configured to calculate an offset of the lighting from the result of the comparison, and the lighting controller is further added to correct the lighting based on the calculated offset of the lighting. It can be composed of.

According to a method and an apparatus for automatically controlling lighting of a machine vision system according to an embodiment of the present invention, a plurality of inspecting an inspection object having the same amount of light output to the inspection object to determine whether the inspection object is defective By keeping the light constant, it is possible to increase the inspection reliability of the inspection object, and to provide a quality product to the consumer, thereby improving the reliability and customer satisfaction of the product.

In addition, according to a method and an apparatus for automatically controlling illumination of a machine vision system according to an embodiment of the present invention, it is possible to save time and money by more efficiently inspecting whether or not a plurality of inspection objects are defective. Productivity of the inspection object can be improved.

BRIEF DESCRIPTION OF THE DRAWINGS In order to better understand the drawings cited in the detailed description of the present invention, a brief description of each drawing is provided.
1 shows a schematic block diagram of a typical machine vision system.
FIG. 2A is a schematic diagram for explaining differences in intensity of light output from a plurality of lights in a machine vision system, and FIG. 2B is a schematic diagram for explaining a conventional solution to the problems mentioned in FIG. 2A.
3 is a schematic block diagram of a machine vision system 1000 capable of automatic lighting control according to an embodiment of the present invention.
4 is a schematic flowchart of a method (S400) for automatically controlling illumination of a machine vision system according to an embodiment of the present invention.
5 is an exemplary view for explaining an embodiment of extracting a reference luminance value according to an embodiment of the present invention.
6 is a schematic diagram of a configuration in which a uniform amount of light is output by applying an automatic lighting control technique of the machine vision system 100 according to an embodiment of the present invention.
7 is a schematic diagram for explaining gain correction and offset correction according to an embodiment of the present invention.

Hereinafter, embodiments according to the present invention will be described with reference to the accompanying drawings. It should be noted that in adding reference numerals to the components of each drawing, the same components have the same reference numerals as possible, even if they are displayed on different drawings. In addition, in describing the embodiments of the present invention, when it is determined that detailed descriptions of related well-known configurations or functions interfere with the understanding of the embodiments of the present invention, detailed descriptions thereof will be omitted. In addition, although the embodiments of the present invention will be described below, the technical spirit of the present invention is not limited or limited thereto, and may be variously implemented by a person skilled in the art.

Throughout the specification, when a part is "connected" to another part, this includes not only "directly connected" but also "indirectly connected" with another element in between. . Throughout the specification, when a part “includes” a certain component, it means that the component may further include other components, not to exclude other components, unless otherwise stated. In addition, in describing the components of the embodiments of the present invention, terms such as first, second, A, B, (a), and (b) may be used. These terms are only for distinguishing the component from other components, and the nature, order, or order of the component is not limited by the term.

1 shows a schematic block diagram of a typical machine vision system. The term 'machine vision system' is a system that is configured to obtain a desired result by processing an image acquired using a camera 21. By giving vision to a machine, it automates various tasks that have been previously processed by a man. Corresponds to the technology handled.

Generally, the machine vision system includes a PC 10 equipped with a frame grabber 11, a camera 21, a lens 22, a lighting device 23, and a lighting controller 30. Can be configured. Under the control of the lighting controller 30, predetermined light is irradiated from the lighting device 23 to the inspection object 40, and light reflected by the inspection object 40 is imaged to the camera 21 through the lens 22. Can be obtained. The image obtained from the camera 21 is transmitted to a personal computer (PC, 10) as an analog video signal, and digitized into bits defined per sample through the frame grabber 11 mounted therein to be processed by the PC 10 Can be converted into a signal.

Among various components constituting the machine vision system, the lighting device 23 determines the recognition rate of the inspection object 40 according to its quality and type, and thus corresponds to a component having the greatest influence on the inspection quality of the machine vision system. . However, in the general machine vision system, the lighting controller 30 only performs hardware compensation for the current (or voltage), which is the output for driving the lighting device 23, so that the lighting of the light emitted by the lighting device 23 is actually performed. No information is available at all, and thus, even in the case of using the same lighting controller 30 and the same lighting device 23 in a machine vision system having a plurality of lighting lines in order to inspect the inspection object 40, lighting There is a discomfort that must be used by manually adjusting the brightness deviation of the.

FIG. 2A is a schematic diagram for explaining differences in intensity of light output from a plurality of lights in a machine vision system, and FIG. 2B is a schematic diagram for explaining a conventional solution to the problem in FIG. 2A.

2A, the same lighting controllers 30-1, 30-2, and 30-3 and the same lighting devices 23-1, 23-2, and 23-3 are provided in each line and have the same lighting brightness setting value. Although (for example, 100) is input to the lighting controllers 30-1, 30-2, and 30-3, various characteristics such as brightness characteristics of the lighting device 23, performance differences of the lighting controller 30, and the like Due to factors, light having different brightness is output from the lighting devices 23-1, 23-2, and 23-3, which is a difference in vision perception of the inspection object 40 (for example, the first lighting 23 In -1), the object to be inspected is normally recognized, while the object to be inspected is not recognized in the second illumination 23-2 and the third illumination 23-3), thereby reducing the user's confidence in vision inspection. Prescribing is becoming the main cause.

In order to solve the problem illustrated in FIG. 2A, conventionally, as shown in FIG. 2B, by manually inputting different values for the illumination brightness setting value of each line, for example, it is lower than the first illumination 23-1. For the second illumination 23-2 outputting the amount of light, the illumination brightness setting value is input higher than the first illumination 23-1 (for example, 120) and more than the second illumination 23-2. For the third illumination 23-3 outputting a low light amount, by inputting a higher illumination brightness setting value than the second illumination 23-2 (for example, 150), the illumination devices 23-1, 23- 2, 23-3) was used to consistently adjust the output light quantity, but this method has a problem that maintenance is difficult because the illumination brightness of each line is not compatible with the same value.

In order to supplement the conventional manual adjustment method of lighting, it is preferable to compensate for the deviation of the output of the light and the deviation of the optical element so as to maintain a uniform brightness (or amount of light) for the lighting of each line. The automatic lighting control method and apparatus in the machine vision system proposed by the present inventors will be described in detail with reference to 7.

3 is a schematic block diagram of a machine vision system 1000 capable of automatic lighting control according to an embodiment of the present invention. 3, the machine vision system 1000 according to an embodiment of the present invention includes a camera 110, a lens 120, an illumination 130, a standard specimen 200, and a computing device 300 and the lighting controller 400. For reference, the components (110, 120, 130, 200, 300, 310, 320, 330, 400) of the machine vision system 1000 shown in FIG. 3 are functions of the machine vision system 1000 according to the present invention, Corresponds to an exemplary component for explaining the operation and the like, and thus additional components (for example, input / output units, communication units, mirrors, cables, etc.) other than the illustrated components may be further provided. Will be obvious.

The lighting 130 may be configured to output light of brightness corresponding to the output from the lighting controller 400 (ie, the lighting control signal). Here, the output signal (iLED.cal) that the lighting controller 400 provides to the lighting 130 is calculated by the computing device 300, and more specifically, the gain and / or gain calculated by the calibration unit 330 As a signal in which an offset is reflected, it is clearly distinguished from the conventional lighting controller simply outputting a control signal corresponding to the lighting brightness setting value. The calculation of the gain and / or offset by the computing device 300 and the output compensation of the lighting controller 400 accordingly will be described below again. For reference, the lighting controller 400 may be implemented as a processor, a micro-processor, a controller, a micro-controller, etc., and electrically / electronically with the lighting 130. It can be connected to be configured to control the operation, output, etc. of the lighting 130.

In addition, the lighting 130 may be configured to irradiate light having brightness determined according to a control signal (iLED.cal) output from the lighting controller 400, respectively provided on a plurality of lines, for example, lighting ( 130) can be implemented with various types of light sources, such as incandescent lamps, fluorescent lamps, sodium lamps, ceramic metals, and more preferably, can be implemented as a relatively energy-efficient light-emitting diode (LED).

The camera 110 is disposed on the top of the lighting 130 to acquire an image in which light emitted from the lighting 130 is reflected from the inspection object through the lens 120 (for example, a collimation lens) The brightness of the image can be detected. For example, the camera 110 may be implemented with a material such as a charge coupled device (CCD), a complementary metal-oxide semiconductor (CMOS), or the like, but is not limited thereto. . Data related to the actual brightness of the lighting 130 obtained from the camera 110 may be transmitted to the computing device 300, and thus used to obtain the illumination intensity value of a specific lighting in the computing device 300 You can. This will be described in more detail below.

As shown in FIG. 3, the machine vision system 1000 according to an embodiment of the present invention includes a computing device 300 disposed between the camera 110 and the lighting controller 400 and functionally coupled, Here, the computing device 300 may include a frame grabber 310, a memory 320, and a calibration unit 330. For reference, the computing device 300 may be implemented as a personal computer (PC).

The frame grabber 310 is an equipment configured to digitize an analog image signal obtained from the camera 110 into defined bits per sample and convert it into a signal that the computing device 300 can process, an image board, It may also be referred to as other terms such as a vision board (vision board). For example, the frame grabber 310 collects an image according to a scanning speed at which the camera 110 scans a screen at a predetermined cycle (for example, 1/30 second), and computes the input image 300 It can be stored in the memory 320. That is, the frame grabber 310 serves to transfer the image data transmitted from the camera 110 to the system memory.

The memory 320 may store various data, information, signals, and the like required in the machine vision system 1000 according to the present invention. For example, the memory 320 may include image information converted into a digital signal by the frame grabber 310, reference luminance values extracted by the calibration unit 330, and illumination of individual lights acquired by the calibration unit 330. Luminance values, gain thresholds for calibration, offset thresholds for calibration, and the like can be stored. For reference, the memory 320 may be implemented in any type, for example, as known to a person skilled in the art, a hard disk drive (HDD), read only memory (ROM), random access memory (RAM), EEPROM (Electrically Erasable and Programmable Read Only Memory), flash memory, Compact Flash (CF) card, Secure Digital (SD) card, Smart Media (SM) card, Multimedia card (MMC) card or Memory Stick (Memory Stick) It can be implemented as various types of storage devices capable of inputting and outputting information.

A calibration unit 330 extracts a reference luminance value for automatic lighting control based on image information obtained by the camera 110 and converted by the frame grabber 310, and (ii) It can be configured to extract the illumination brightness value, (iii) compare the obtained illumination brightness value with the calculated reference brightness value, and calculate the gain and / or offset of the illumination from the result of the comparison. More specific operations and functions of the calibration unit 330 will be described in more detail with reference to FIG. 4 below.

4 is a schematic flowchart of a method (S400) for automatically controlling illumination of a machine vision system according to an embodiment of the present invention.

3 and 4 together, the calibration unit 330 may extract a reference luminance value based on the amount of light reflected from the standard specimen 200 (S410). More specifically, the light controller 400 may acquire the amount of light reflected from the standard specimen 200 as an image through the camera 110 while increasing the brightness value of the light 130 from 0 to 255 in 5 bit units. . For reference, in the present specification, a configuration for increasing the brightness value of the lighting 130 from 0 to 255 in 5 bit units as a process for extracting the brightness value of the lighting is described as an example, but the range and increase width of the brightness value are It will be apparent that changes may be made according to various implementations or embodiments. In addition, the standard specimen 200 used in the present invention may be a gray card (18% Gray Scale Balanced Card) having a standard reflectance of 18%, but other similar types of standard specimens may perform the same or similar various embodiments of the present invention. It can be applied to examples.

The calibration unit 330 may repeat the above process for a plurality of lights 130 of the same type, and FIG. 5 (a) shows a standard specimen 200 for a plurality of lights according to an embodiment of the present invention. It corresponds to an exemplary diagram for explaining an embodiment of obtaining an actual luminance value of each illumination by acquiring an image reflected by). As shown in FIG. 5 (a), it can be confirmed through a graph that there is a deviation from each other in the amount of light output even though the lights 130 disposed on a plurality of lines are the same light having the same type. .

The calibration unit 330 may be configured to extract a reference luminance value based on the amount of light obtained in each of the plurality of lights 130, and FIG. 5 (b) shows the reference luminance value according to an embodiment of the present invention. Corresponds to the example diagram. The configuration for extracting the reference luminance value for a plurality of lights may be various, for example, the luminance of the light having the highest amount of light among the plurality of lights may be set as the reference luminance value, and a predetermined specific lighting among the plurality of lights The luminosity of can be set as the reference luminosity value, or the average luminosity for a plurality of lights can be set as the luminosity value. In the latter case, the calibration unit 330 according to a further embodiment of the present invention may be further configured to extract a reference luminance value by averaging the amount of light obtained for each of the plurality of lights 130, an example of which is illustrated in FIG. 5. It is shown in (b).

When the reference luminance value is extracted by the calibration unit 330, information about the reference luminance value is stored in the memory 320 and can be utilized for a subsequent calibration operation, and as a subsequent step, the calibration unit 330 may be used for individual illumination. It is possible to obtain the illumination intensity value for (S420). That is, after a reference luminance value for lighting calibration is extracted, operations for calibration of each lighting 130 may be sequentially performed. For example, by outputting a control signal to the light 130 in a 5-bit unit from 0 to 255 by the light controller 400 while capturing the image reflected from the standard specimen 200 through the camera 110 to the specific light It is possible to obtain the illumination intensity value for the.

The calibration unit 330 may compare the obtained illumination luminance value with the reference luminance value (S430), calculate the gain of illumination as a result of the comparison (S441), and / or calculate the offset of the illumination (S442). . For reference, in the following specification, gain data for correcting a specific light will be displayed as dgain, and offset data for correcting a specific light will be displayed as a doffset.

The gain data (dgain) and / or the offset data (doffset) calculated by the calibration unit 330 may be transmitted to the lighting controller 400 through a communication unit (not shown), and the lighting controller 400 may obtain the gain data ( dgain) and / or offset data (doffset) to correct the illumination by outputting a corrected control signal (iLED.cal) (S451 and S452).

For reference, in FIG. 4, steps of calculating the gain of the lighting and correcting the lighting accordingly (S441 and S451) and calculating the offset of the lighting and correcting the lighting accordingly (S442 and S452) are described as parallel steps. According to a further embodiment of the present invention, the steps of calculating the offset of the lighting and correcting the lighting accordingly (S442 and S452) are performed following the steps of calculating the gain of the lighting and correcting the lighting accordingly (S441 and S451). It may be.

In this regard, according to a further embodiment of the present invention, a gain threshold for gain correction and / or an offset threshold for offset correction may be further set, and the gain threshold and / or offset threshold may be stored in memory 320. The calibration unit 330 may compare the reference luminance value with the illumination luminance value, and when the difference between the gain and / or offset exceeds a preset gain threshold and / or an offset threshold, a gain for the corresponding illumination (dgain) And / or may be further configured to correct the illumination by calculating the offset and passing it to the lighting controller 400. For reference, the lighting controller 400 may be designed as an LED driver circuit for driving a constant current (or constant voltage) (for example, an LED driver circuit capable of precision control), a calibration algorithm may be embedded therein, and output A 16-bit analog-to-digital conversion circuit (ADC) may be provided for calibration.

6 is a schematic diagram of a configuration in which a uniform amount of light is output by applying an automatic lighting control technique of the machine vision system 100 according to an embodiment of the present invention. As shown in Fig. 6, the control signal corrected based on the gain data (dgain) and / or offset data (doffset) calculated from the calibration unit 330 and the lighting controller 400 equal to the illumination brightness setting value. By outputting (iLED # 1.cal, iLED # 2.cal and iLED # 3.cal) to control the brightness of each light, each light (130- It is possible to output the same amount of light of 1, 130-2, 130-3), and thus, it is possible to significantly improve the inspection reliability of the inspection object through the machine vision system and to further increase user convenience.

7 is a schematic diagram for explaining gain correction and offset correction according to an embodiment of the present invention.

It can be seen that (a) of FIG. 7 corresponds to a graph obtained by measuring the light quantity of each light before calibration, and represents different light quantity outputs despite the same type of light. 7 (b) corresponds to a graph in which the amount of light of each illumination after gain correction for the reference luminance value is recorded, and it can be confirmed that the gain (ie, slope) for the amount of light of each illumination was uniformly adjusted.

Although the gain is corrected for each light in FIG. 7B, the offset between lights (eg, a negative offset to the left based on the reference luminance value and a positive offset to the right based on the reference luminance value) It can be seen that this exists, and the amount of light of each illumination after correcting this offset is exemplarily shown in Fig. 7C. As shown in FIG. 7 (c), it can be confirmed that the output light amounts for the plurality of lights follow the reference luminance value after gain and offset correction.

As described above, according to a method and an apparatus for automatically controlling illumination of a machine vision system according to an embodiment of the present invention, an inspection object having the same amount of light output to the inspection object to determine whether the inspection object is defective By keeping it constant for a plurality of lights inspecting, it is possible to increase the inspection reliability for the inspection object while providing a quality product to the consumer, thereby further improving the reliability and customer satisfaction for the product.

In addition, according to a method and an apparatus for automatically controlling illumination of a machine vision system according to an embodiment of the present invention, it is possible to save time and money by more efficiently inspecting whether or not a plurality of inspection objects are defective. Productivity of the inspection object can be improved.

Meanwhile, various embodiments described in this specification may be implemented by hardware, middleware, microcode, software, and / or a combination thereof. For example, various embodiments include one or more on-demand semiconductors (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGA) ), Processors, controllers, microcontrollers, microprocessors, other electronic units designed to perform the functions presented herein, or combinations thereof.

Further, for example, various embodiments may be recorded or encoded in a computer-readable medium including instructions. Instructions stored or encoded on a computer-readable medium may cause a programmable processor or other processor to perform a method, such as when instructions are executed. Computer-readable media includes computer storage media, and computer storage media may be any available media that can be accessed by a computer. For example, such computer-readable media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage media, magnetic disk storage media or other magnetic storage devices.

Such hardware, software, firmware, etc. may be implemented within the same device or within separate devices to support various operations and functions described herein. Additionally, the components, units, modules, components, etc. described as “˜units” in the present invention may be implemented individually together as separate or interoperable logic devices. The depiction of different features for modules, units, etc. is intended to highlight different functional embodiments, and does not necessarily mean that they must be realized by individual hardware or software components. Rather, the functionality associated with one or more modules or units may be performed by individual hardware or software components or incorporated within common or separate hardware or software components.

Although the operations in a particular order are shown in the figures, it should not be understood that these operations are performed in a specific order, or sequential order, to achieve the desired result, or that all the illustrated actions need to be performed. . In any environment, multitasking and parallel processing can be advantageous. Moreover, the division of various components in the above-described embodiments should not be understood as requiring such division in all embodiments, and the described components will generally be integrated together into a single software product or packaged into multiple software products. It should be understood that it can.

As described above, optimal embodiments have been disclosed in the drawings and specifications. Although specific terms are used herein, they are used only for the purpose of describing the present invention and are not used to limit the scope of the present invention as defined in the claims or the claims. Therefore, those of ordinary skill in the art will understand that various modifications and other equivalent embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

110: camera 120: lens
130: lighting 200: standard specimen
300: computing device 310: frame grabber
320: memory 330: calibration unit
400: lighting controller 1000: machine vision system

Claims (9)

As a method to automatically control the lighting of the machine vision system,
Extracting a reference luminance value;
Obtaining an illumination intensity value;
Comparing the obtained illumination luminance value with the extracted reference luminance value;
Calculating a gain of the lighting from the result of the comparison; And
Correcting the lighting based on the calculated gain of the lighting
Containing,
How to automatically control the lighting of a machine vision system. According to claim 1,
The step of extracting the reference luminance value,
Acquiring, through a camera, the amount of light reflected from each of a plurality of illuminations of the same type reflected by the standard specimen; And
And extracting the reference luminance value based on the amount of light obtained for each of the plurality of lights,
How to automatically control the lighting of a machine vision system. According to claim 2,
Extracting the reference luminance value based on the amount of light obtained for each of the plurality of lights includes extracting the reference luminance value by averaging the amount of light obtained for each of the plurality of lights,
How to automatically control the lighting of a machine vision system. According to claim 1,
Calculating an offset of the lighting from the result of the comparison; And
Further comprising correcting the illumination based on the calculated offset of illumination,
How to automatically control the lighting of a machine vision system. A program for performing a method according to any one of claims 1 to 4 is recorded by a computer,
Computer readable recording media. A machine vision system capable of automatic lighting control,
A computing device configured to extract a reference luminance value, obtain an illumination luminance value, compare the obtained illumination luminance value with the extracted reference luminance value, and calculate a gain of illumination from the result of the comparison; And
An illumination controller configured to calibrate the illumination based on the gain of illumination output from the computing device
Containing,
Machine vision system with automatic lighting control. The method of claim 6,
The computing device,
The amount of light reflected from each of a plurality of illuminations of the same type is reflected by the standard specimen is acquired through a camera; And
Configured to extract the reference luminance value based on the amount of light obtained for each of the plurality of lights,
Machine vision system with automatic lighting control. The method of claim 7,
The computing device is further configured to extract the reference luminance value by averaging the amount of light obtained for each of the plurality of lights,
Machine vision system with automatic lighting control. The method of claim 6,
The computing device is further configured to calculate an offset of the lighting from the result of the comparison,
The lighting controller is further configured to correct the lighting based on the calculated offset of the lighting,
Machine vision system with automatic lighting control.

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