KR101964805B1 - Guide providing method and apparatus for machine vision - Google Patents

Abstract

The present invention relates to a method and apparatus for generating a virtual test image for machine vision inspection, a method and apparatus for machine vision simulation, and a machine vision test system. According to a first aspect of the present invention there is provided a method of providing a component selection guide for machine vision, the method comprising: receiving detailed configuration information for component selection; recommending components corresponding to the detailed configuration information; Providing component information of a selected one of the components, wherein the component may include at least one of a camera, an illumination, and a lens.

Description

TECHNICAL FIELD [0001] The present invention relates to a method and apparatus for providing machine vision,

The present invention relates to a method and apparatus for providing a guide for machine vision, and more particularly, to a method and apparatus for providing a component selection guide for machine vision.

In recent years, industrial automation has been accelerated by combining factors such as machine vision, robot, sensor, PLC, and computer in the automotive, electronics, display, semiconductor, food and beverage, have.

Machine vision here means automating the industry through cameras (visual perception), CPU, and SW to inspect, measure, or read objects.

For example, an image extracted through a machine-specific camera is interpreted through vision software. Vision software can match patterns of objects from extracted images, fit points, lines or faces, discriminate colors, measure objects (Gauging), provide location information for robot guides Or read a one-dimensional, two-dimensional bar code displayed on an object, or perform optical character reading (OCR). Through this process, an object can be inspected, measured or read so that the automation of the industry can be realized.

Such a machine vision is often used for industrial purposes rather than being utilized by end users. To maximize efficiency, the machines that implement machine vision are complex, and therefore the manual to operate the machine for machine vision is complex.

In other words, camera, lens, lighting, etc. should be selected appropriately according to each process environment. There are various industrial fields to which machine vision is applied, so there is a wide range of process environments for automating each product in each industry. There is a problem that it is difficult to appropriately select a camera, a lens, an illumination, and the like.

For example, even if a user (a company that requires automation) tries to select cameras, lenses, and lights for their process environment after installing vision software, it is not easy to set them properly unless they are experts. Also, even in the same process environment, each time a sample to be read, measured, or inspected changes, it is necessary to select a camera, a lens, an illumination, and the like to match the sample.

Therefore, it is necessary to search for a technique for solving the above-mentioned problem.

Korean Patent Registration No. 10-1182768, which is a prior art document, proposes an inspection apparatus for a machine vision system implemented using a portable terminal, and proposes a method for implementing a machine vision system. However, there is a problem in that it is not possible to propose which components are suitable for a sample (or a process environment) that can change instantaneously, so that it can not flexibly respond to the field environment, and therefore the prior art does not solve the above-mentioned problems.

On the other hand, the background art described above is technical information acquired by the inventor for the derivation of the present invention or obtained in the derivation process of the present invention, and can not necessarily be a known technology disclosed to the general public before the application of the present invention .

One embodiment of the present invention is directed to a method and apparatus for providing a guide for machine vision.

According to a first aspect of the present invention, there is provided a method for providing a component selection guide for a machine vision, the method comprising: receiving detailed setting information corresponding to a vision inspection for selecting a component; Recommending a component corresponding to the detailed setting information, and providing component information of a selected one of the recommended components, wherein the component may include at least one of a camera, an illumination, and a lens.

According to a second aspect of the present invention, there is provided an apparatus for providing a component selection guide for machine vision, comprising: a setting receiving unit for receiving detailed setting information corresponding to a vision inspection for selecting a component; And a component selection unit that provides component information of the selected component out of the recommended components, wherein the component may include at least one of a camera, an illumination, and a lens.

According to any one of the above-mentioned means for solving the problems of the present invention, an embodiment of the present invention can provide a method and apparatus for providing a guide for machine vision.

Further, according to any one of the means for solving the problems of the present invention, it is possible to appropriately set the camera, the lens and the illumination in accordance with each process environment. By configuring the components for each process environment, it is possible to flexibly cope with various process environments.

Further, according to any one of the means for solving the problems of the present invention, a novice user can easily set a camera, a lens and an illumination suitable for a process environment. This maximizes user convenience.

Further, according to any one of the tasks of the present invention, it is possible to minimize the trial and error in selecting cameras, lenses, lights, and the like for each process environment, thereby operating the vision software with a minimum amount of resources.

In addition, according to any one of the tasks of the present invention, it is possible to set cameras, lenses, lights, and the like for each process environment, store set values for each process environment, So that appropriate settings can be automatically made.

The effects obtained by the present invention are not limited to the above-mentioned effects, and other effects not mentioned can be clearly understood by those skilled in the art from the following description will be.

1A to 1C are block diagrams of a machine vision system according to an embodiment of the present invention.
2A and 2B are block diagrams illustrating a machine vision apparatus in accordance with an embodiment of the present invention.
3 is a block diagram illustrating a guide providing apparatus according to an embodiment of the present invention.
4 is a flowchart illustrating a guide providing method according to an embodiment of the present invention.
5 to 11 are diagrams for explaining a guide providing method according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another part in between . Also, when an element is referred to as "comprising ", it means that it can include other elements as well, without departing from the other elements unless specifically stated otherwise.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

1A to 1C are block diagrams for explaining a machine vision system according to an embodiment of the present invention.

As shown in FIG. 1A, a machine vision system 100 according to an embodiment of the present invention includes a machine vision device 20 and a guide providing device 30.

The machine vision apparatus 20 according to an embodiment of the present invention is an apparatus for performing machine vision inspection.

At this time, the machine vision inspection is performed by using one or more algorithms of pattern matching, point / line / face fitting, edge, color, position and barcode reading, Property.

An application (i.e., vision software) can be installed on the machine vision device 20 for machine vision inspection and the application can acquire a target image of the object and control the machine vision device 20 according to an algorithm have.

The machine vision device 20 may also include a camera (not shown) for capturing an object, or may communicate with an externally located camera (not shown).

The machine vision device 20 as described above will be described in more detail below with reference to Figures 2A and 2B.

Meanwhile, the guide providing device 30 is a device for selecting one or more components constituting the machine vision apparatus 20, and such a guide providing device 30 will be described later in detail with reference to FIG. Wherein the component may comprise at least one of a camera, an illumination, and a lens.

In this regard, each of the above-described machine vision device 20 and guide providing device 30 may be included or included in each other. That is, for example, the guide providing apparatus 30 may be included in the machine vision apparatus 20, or the machine vision apparatus 20 may be included in the guide providing apparatus 30. [

In addition, the machine vision device 20 and the guide providing device 30 can communicate with each other via a network while being positioned externally with each other.

1B and 1C each illustrate a machine vision system 100 in accordance with an embodiment of the present invention.

That is, FIG. 1B is a system implemented by a machine vision camera M and a PC (workstation). At this time, the guide providing device 30 may be included in the PC (P), or may be driven under the operation of the vision software. And the machine vision device 20 may be included in the machine vision camera M.

On the other hand, Fig. 1C is a system implemented with a smart camera S. Here, smart camera means a stand-alone system that can operate itself without the help of a PC, and it is also possible to operate with a PC. At this time, the guide providing device 30 can be driven under the operation of the vision camera installed in the smart camera S or the PC. And the machine vision apparatus 20 may be included in the smart camera S.

2A and 2B are block diagrams illustrating a machine vision apparatus 20 according to an embodiment of the present invention.

2A, a machine vision apparatus 20 according to an embodiment of the present invention includes an object receiving unit 210, a preprocessing unit 220, a storage unit 230, a post-processing unit 240, 250).

The object receiving unit 210 acquires an image to be inspected for machine vision.

At this time, the object receiving unit 210 can acquire an image photographed by a camera (not shown) as a target image. When acquiring the photographed image, the object receiving unit 210 may be implemented by various sensors.

Meanwhile, the preprocessing unit 220 performs preprocessing for the effective inspection of the target image before examining the target image.

For this, the preprocessing unit 220 may receive the target image from the target receiving unit 210 and may receive the target image through, for example, parallel, MIPI-CSI, LVDS, or the like.

The preprocessing unit 220 may perform preprocessing on the target image by performing filtering of the target image, noise correction, image format setting, and the like.

For this, the preprocessor 220 may be implemented as a field programmable gate array (FPGA).

The storage unit 230 may store an image that has been pre-processed by the preprocessing unit 220 as described above.

Also, the preprocessed image may be transmitted to the post-processing unit 240. On the other hand, the post-processing unit 240 examines the preprocessed image according to an algorithm and generates a result. The result of the examination may be, for example, whether the preprocessed image satisfies a predetermined criterion.

To this end, the post-processing unit 240 may be implemented as an application processor (AP) to post-process the image. The AP implemented on the post-processing unit 240 can output the test result using the vision software installed on the embedded OS (Linux, Android, etc.).

Also, the post-processing unit 240 may output the inspection result by the user terminal (not shown) using the vision software that is run on the user terminal (not shown) through the transmission unit 250.

Meanwhile, the machine vision apparatus 20 according to another embodiment of the present invention may further include a transmission unit 250. [

Such a transmission unit 250 can communicate with a display unit (not shown). The display unit (not shown) is a module for interacting with a user. The user inputs a command to the machine vision apparatus 20 through a display unit (not shown), or receives a response of the machine vision apparatus, can confirm.

The transmission unit 250 can additionally communicate with a user terminal (not shown).

A user terminal (not shown) is located outside the machine vision device 20, and is equipped with vision software on a user terminal (not shown) to receive post-processed images from the machine vision device 20, Can be used to generate the result of the inspection.

The user terminal (not shown) may additionally include a module for interacting with the user. The user may input a command to the machine vision device 20 through a user terminal (not shown) The response of the vision device 20, or the result of the inspection.

The user terminal (not shown) may be implemented as a computer, a portable terminal, a television, a wearable device, or the like. Here, the computer includes, for example, a PC, a notebook equipped with a WEB Browser, a desktop, a laptop, and the like. The portable terminal may be, for example, As an apparatus, it may include all kinds of handheld based wireless communication apparatuses. In addition, the television may include an Internet Protocol Television (IPTV), an Internet television (TV), a terrestrial TV, a cable TV, and the like. Further, the wearable device is an information processing device of a type that can be directly worn on a human body, for example, a watch, a glasses, an accessory, a garment, shoes, and the like. The wearable device can be connected to a remote server via a network, Lt; / RTI >

The transmission unit 250 as described above may be implemented by an I / F such as GigE (Gigabit Ethernet), USB, Camera Link, CoaXpress, or the like.

Meanwhile, the machine vision apparatus 20 according to another embodiment of the present invention may include an object receiving unit 210, a preprocessing unit 220, and a transmission unit 250, as shown in FIG. 2B. That is, the machine vision apparatus 20 may not include the storage unit 230 and the post-processing unit 240 of FIG. 2A.

The post-processing unit 240 of FIG. 2A may be implemented on a user terminal (not shown) located outside the machine vision device 20. FIG. Accordingly, the user terminal (not shown) may receive the preprocessed image from the machine vision device 20 and perform the post-processing.

For this, the transmission unit 250 may be implemented by GigE, USB, Camera Link, or CoaXPress. Unlike GigE or USB, a user terminal (not shown) may additionally add a frame grabber to receive information from the machine vision device 20 when the transfer unit 250 is implemented with Camera Link or CoaXPress. Can be implemented.

3 is a block diagram illustrating a guide providing device 30 according to an embodiment of the present invention.

The image generating apparatus 30 according to an embodiment of the present invention includes a setting receiving unit 310 that receives detailed setting information for selecting a component.

The 'detailed setting information' refers to information required according to the mode. For example, in the case of the first mode for barcode checking, it may be information on the barcode size and the like for recognizing the value of the barcode, And the size of the test sample in the case of the second mode.

The setting receiving unit 310 can receive the detailed setting information based on the mode input through the mode setting interface.

The setting receiving unit 310 can provide a detailed setting interface for receiving detailed setting information. The setting receiving unit 310 classifies the essential items to be input as essential and the optional items to be selectively input through the detailed setting interface So that the user can input detailed setting information corresponding to each item.

When receiving the input in the first mode, the setting receiving unit 310 may receive at least one of bar code type, bar code density, bar code size, number of bar code characters and number of bar code modules as detailed setting information.

The 'barcode type' refers to the form of a barcode, and may be, for example, a one-dimensional barcode such as code 39 or code 128, or a two-dimensional barcode such as a QR code or a data matrix. The 'bar code density' is a minimum unit expressing a bar code, and can be expressed in units of, for example, mil. The 'barcode size' means the total size of the barcode to be inspected, and may be expressed, for example, in mm. The 'number of barcode characters' means the number of characters represented by the barcode to be inspected, and the 'number of barcode modules' means the number of modules of the barcode.

On the other hand, when the second mode is input, the setting reception unit 310 can receive at least one of the inspection tolerance range and the minimum inspection target as detail setting information.

The 'inspection tolerance error range' refers to an error range that can be tolerated when inspecting an object. For example, it may be expressed in units of pixels or um, and 'minimum inspection object' It means to check whether the object is scratch or foreign matter. At this time, since the minimum inspection target is a selection item, the setting receiving unit 310 may not receive information on the minimum inspection target.

3, the image generation apparatus 30 may further include a mode selection unit 320 for providing a mode setting interface for receiving a mode setting, as shown in FIG.

At this time, the mode selection unit 320 can receive at least one of a first mode for barcode inspection and a second mode for vision inspection through the mode setting interface. In addition, when a vision component for only vision inspection is extracted or a barcode component for only barcode inspection is extracted, a component selection guide may be provided without operation of the mode selection unit 320. [ The user can select the first mode if the sample he wants to inspect is a barcode, whereas the user can select the first mode in which the sample he wants to inspect is subjected to a vision check (e.g., any machine vision other than bar code reading, (Pattern Matching), Point / Line / Surface Fitting, Edge, Color, Position, etc.), the second mode can be selected.

Meanwhile, when detailed setting information is received for each mode as described above, the image generating apparatus 30 according to the embodiment of the present invention includes a component recommending unit 330 for recommending a component based on the detailed setting information .

That is, the component recommending unit 330 may recommend at least one of a camera model, a lens model, a proper focus distance, a proper aperture value, and illumination detail information for machine vision based on the detailed setting information.

Also, the component recommendation unit 330 may receive the additional input information, and recommend at least one of a camera model and a lens model for machine vision based on the additional input information and the detailed setting information.

The component recommendation unit 330 can receive at least one of the horizontal size of the sample, the vertical size of the sample, the moving speed of the sample per second, the number of times of inspection per second, and the interval setting as additional input information. For example, the component recommendation unit 330 may input the horizontal size of the sample and the vertical size of the sample as mandatory items, and the moving speed of the sample per second, the number of times of inspection per second, and the interval setting may be input as a selection item .

The component recommendation unit 330 can recommend the camera model based on the detailed setting information and the additional input information. For example, when the size of the sample is determined, the component recommending unit 330 can obtain a resolution The candidates of the camera (or lens) model having the camera (or lens) model can be culled, and accordingly, the component recommending unit 330 can recommend the camera (or lens) model candidate.

If one or more camera models are selected from among the recommended camera models, the component recommending unit 330 may add information about the selected camera model to the additional input information.

Based on the additional input information and the detailed setting information as described above, the component recommendation unit 330 determines at least one of the required resolution, the exposure time, the frame rate, the number of inspections per second, the camera resolution, the frame rate recommended value, Can be provided.

The term 'required resolution' refers to the camera resolution required to inspect the sample, 'exposure time' refers to the minimum exposure time value required to inspect the sample, and 'frame rate' refers to the minimum value required to inspect the sample Frame rate. The 'number of inspections per second' refers to the number of times the samples per second are inspected. The 'camera resolution' is the resolution value of the selected camera (or the resolution value of the recommended camera among the selected cameras) Quot; actual inspection area " is an actual area for inspecting the sample, and may be a value calculated according to the size of the sample.

On the other hand, the component recommendation unit 330 may receive at least one of installation distance and inspection distance deviation as additional input information. At this time, the installation distance can be inputted as a mandatory item by a distance difference between the camera and the sample, and the distance deviation can be inputted as a selection item.

Based on the additional input information and the detailed setting information as described above, the component recommending section 330 can recommend at least one of the proper focal length and the appropriate aperture value.

On the other hand, the component recommending unit 330 may receive at least one of the illumination type and the sample material as additional input information.

Based on the additional input information and the detailed setting information as described above, the component recommendation unit 330 can recommend the illumination detail information for the machine vision. At this time, the 'detailed illumination information' may be specification information of the recommended illumination, for example, the function of the illumination, the information about the parts constituting the illumination, or the method of using the illumination.

In addition, the component recommendation unit 330 provides a recommendation of the detailed illumination information, together with a sample image that can be viewed when the corresponding illumination is used, thereby allowing the user to select a more suitable illumination.

Meanwhile, the image generating apparatus 30 according to an exemplary embodiment of the present invention may further include a component selecting unit 340 for providing information on the selected component among the recommended components.

The component selection unit 340 can provide component information, which is information on a component selected by the user's choice among the recommended components.

In addition, the component selection unit 340 can provide the component information, which is information about the selected component automatically, with the recommended component. For example, if there is one recommended component, the component may be automatically selected to provide component information for the selected component. Also, for example, the most optimized component of the recommended component may be automatically selected to provide the component information of the selected component, and the optimized component may be, for example, the component that can be provided at the lowest cost, or Components that are already registered in the process environment, or components that can yield the most accurate inspection results (or reading results).

The component selection unit 340 can provide the component information of the selected component by providing at least one of the camera list, the illumination information, and the lens information.

The 'camera list' displays one or more selected cameras and can include specification information of each camera. The 'lens information' may include specification information of the lens used with the selected camera, and the 'illumination information' may include specification information about the selected illumination.

Meanwhile, the image generating apparatus 30 according to an embodiment of the present invention may further include a component information storage unit 350 that stores component information, which is information of the selected components.

That is, the component information storage unit 350 may store at least one of the camera list, the illumination information, and the lens information as the component information, and may store the file information (for example, an image file and various forms A document file according to the user's name, etc.).

In addition, the component information storage unit 350 may store component information and process environment information corresponding to the component information (that is, various information that the user has input until the component information is generated).

The information stored in the component information storage unit 350 may be used by the user to call the file information matching the component information or the component information. Also, when the same or similar process environment information is inputted, the component information storage unit 350 may call the component information or the file information matched with the component information which is stored in correspondence with the process environment information.

4 is a flowchart illustrating a guide providing method according to an embodiment of the present invention.

The image generating method according to the embodiment shown in FIG. 4 includes steps that are processed in a time-series manner in the guide providing apparatus 30 shown in FIG. Therefore, even though omitted from the following description, the above description of the guide providing apparatus 30 shown in FIG. 3 can be applied to each of the guide providing methods according to the embodiment shown in FIG.

FIG. 4 is a flowchart illustrating a method of providing a guide according to an exemplary embodiment of the present invention, which will be described below with reference to FIGS. 5 to 11. FIG.

As shown in FIG. 4, the guide providing device 30 may provide a mode setting interface for receiving at least one of the first mode and the second mode (S410).

FIG. 5 is a view illustrating an example of a mode setting interface through a display unit (not shown) capable of interacting with a user according to a guide providing method according to an embodiment of the present invention. At this time, the display unit (not shown) may be included in the guide providing apparatus 30, and the user can input information or confirm various information such as the component information through the display unit

5, the guide providing device 30 provides a mode setting interface 500 including an interface 510 for selecting a first mode and an interface 520 for selecting a second mode . Through the mode setting interface, the user can set a mode suitable for an object to be inspected by himself / herself.

Upon receiving the selection of the first mode through the mode setting interface, detailed setting information corresponding to the first mode may be received (S420).

That is, if the mode input through the mode setting interface is the first mode, at least one of the barcode type, the barcode density, the barcode size, the number of barcode characters, and the number of barcode modules can be received.

6 illustrates an example of an interface for receiving detailed setting information corresponding to the first mode, and FIG. 6 illustrates a state in which a guide is provided on a screen of a user terminal according to a guide providing method according to an embodiment of the present invention. Respectively.

6, at least one of the bar code density, the number of bar code characters, and the number of bar code modules 630 can be input as mandatory items, and the bar code size 610 and the bar code type 620 can be input as mandatory items. Can be input.

In addition, the type of bar code 640 according to the bar code type 620 can be input. Further, the guide providing device 30 can display a help 650 for inputting detailed setting information corresponding to the first mode on one side of the screen, thereby guiding the user to input appropriate detailed setting information.

On the other hand, upon receiving the selection of the second mode through the mode setting interface, detailed setting information corresponding to the second mode can be received (S430).

If the mode input through the mode setting interface is the second mode, at least one of the inspection tolerance range and the minimum inspection target can be received.

7 is a view illustrating a display through a display unit (not shown) capable of interacting with a user according to a guide providing method according to an embodiment of the present invention. In this case, detailed setting information corresponding to the second mode is received 1 shows an example of an interface to be used.

As shown in Fig. 7, the guide providing apparatus 30 can receive the inspection tolerance range 710 as a mandatory item.

In addition, the guide providing device 30 can receive information on the minimum inspection target as a selection item, and also displays help for inputting the detailed setting information corresponding to the second mode on one side of the screen, To enter the appropriate detailed setting information.

The guide providing apparatus 30 that has received the detailed setting information as described above can recommend the component based on the detailed setting information (S440).

To this end, the guide providing device 30 can receive the additional input information, and can recommend the component based on the additional input information and the detailed setting information.

8 to 10 illustrate how a guide is displayed through a display unit (not shown) capable of interacting with a user according to a guide providing method according to an embodiment of the present invention. An interface for receiving additional input information And an interface for recommending the component and the like.

8, the guide providing device 30 can receive the size of the sample (the horizontal size of the sample, the vertical size of the sample) 810 as an essential item, and the function or the function suitable for the size of the input sample A camera having a resolution can be recommended. Also, the guide providing apparatus 30 can select at least one of the recommended cameras 820. [ The selected camera information may be received by the guide providing device 30 as additional input information.

In addition, as shown in FIG. 8, the guide providing device 30 may receive at least one of the moving speed of the sample per second, the number of inspections per second and the equal interval setting 830 as additional input information.

Accordingly, guide providing device 30 may recommend at least one of a camera model and a lens model for machine vision (840).

More specifically, the guide providing device 30 may provide at least one of the required resolution, exposure time, frame rate, number of inspections per second, camera resolution, frame rate recommended value, and actual inspection area (840).

In addition, the guide providing device 30 can display the help of the size of the sample or the help 850 for selecting the camera on one side of the screen, thereby guiding the user to input an appropriate value.

On the other hand, as shown in FIG. 9, the guide providing device 30 can receive the installation distance 910 as a mandatory item as additional input information.

Also, the guide providing device 30 may receive the inspection distance deviation 920 as additional items of information as a selection item.

In addition, the guide providing device 30 may receive at least one of the moving speed of the sample per second, the number of times of inspection per second, and the equal interval setting as additional input information.

Then, the guide providing device 30 can recommend at least one of the proper focal length and the appropriate aperture value based on the detailed setting information and the additional input information.

In addition, the guide providing device 30 can display a help message 940 for input regarding the installation distance, inspection distance deviation, and the like on one side of the screen, thereby guiding the user to input an appropriate value.

10, the guide providing device 30 may receive at least one of the sample material 1010 and the illumination type 1020 as additional input information.

The guide providing apparatus 30 can recommend the illumination detail information 1030 for machine vision based on the detailed setting information and the additional input information.

In addition, with the recommendation of the illumination detail information, a sample image 1040, which can be seen when the illumination is used, is also provided so that the user can select a more suitable illumination.

If the guide providing apparatus 30 recommends the component as described above, any one of the recommended components may be selected as a component for machine vision (S450).

At this time, the guide providing device 30 can select the component by selecting at least one of the recommended components by the user, or the guide providing device 30 can automatically select the component that is deemed most suitable among the recommended components have.

11 is a view showing a display through a display unit (not shown) capable of interacting with a user according to a guide providing method according to an embodiment of the present invention, and includes an interface for providing component information of the selected component Fig.

11, the guide providing device 30 can provide the detailed information 1110 of the camera as the selected component, and also each of the detailed information 1120 of the illumination as the selected component, As shown in FIG.

In addition, the guide providing device 30 can store the component information of the selected component, and for this purpose, as shown in FIG. 11, the guide providing device 30 can provide the interface 1130 that can store the component information. The user can store the component information through the interface 1130, and can invoke and browse the component information at any time.

The term " part " used in this embodiment may mean a hardware component such as software or a field programmable gate array (FPGA) or an ASIC, and the 'part' performs certain roles. However, 'part' is not meant to be limited to software or hardware. &Quot; to " may be configured to reside on an addressable storage medium and may be configured to play one or more processors. Thus, by way of example, 'parts' may refer to components such as software components, object-oriented software components, class components and task components, and processes, functions, , Subroutines, segments of program patent code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables.

The functions provided within the components and components may be combined with a smaller number of components and components or separated from additional components and components.

In addition, the components and components may be implemented to play back one or more CPUs in a device or a secure multimedia card

The method of providing a guide according to the embodiment described with reference to FIG. 4 may also be implemented in the form of a recording medium including instructions executable by a computer such as a program module executed by a computer. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, the computer-readable medium may include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes any information delivery media, including computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transport mechanism.

The method of providing a guide according to an embodiment of the present invention may also be implemented as a computer program (or a computer program product) including instructions executable by a computer. A computer program includes programmable machine instructions that are processed by a processor and can be implemented in a high-level programming language, an object-oriented programming language, an assembly language, or a machine language . The computer program may also be recorded on a computer readable recording medium of a type (e.g., memory, hard disk, magnetic / optical medium or solid-state drive).

Thus, each of the guide providing methods according to one embodiment of the present invention can be implemented by a computer program as described above being executed by a computing device. The computing device may include a processor, a memory, a storage device, a high-speed interface connected to the memory and a high-speed expansion port, and a low-speed interface connected to the low-speed bus and the storage device. Each of these components is connected to each other using a variety of buses and can be mounted on a common motherboard or mounted in any other suitable manner.

Where the processor may process instructions within the computing device, such as to display graphical information to provide a graphical user interface (GUI) on an external input, output device, such as a display connected to a high speed interface And commands stored in memory or storage devices. As another example, multiple processors and / or multiple busses may be used with multiple memory and memory types as appropriate. The processor may also be implemented as a chipset comprised of chips comprising multiple independent analog and / or digital processors.

The memory also stores information within the computing device. In one example, the memory may comprise volatile memory units or a collection thereof. In another example, the memory may be comprised of non-volatile memory units or a collection thereof. The memory may also be another type of computer readable medium such as, for example, a magnetic or optical disk.

And the storage device can provide a large amount of storage space to the computing device. The storage device may be a computer readable medium or a configuration including such a medium and may include, for example, devices in a SAN (Storage Area Network) or other configurations, and may be a floppy disk device, a hard disk device, Or a tape device, flash memory, or other similar semiconductor memory device or device array.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

100: Simulation system
20: Machine vision device
30: Guide provided device
310: setting reception unit 320: mode selection unit
330: component recommendation unit 340: component selection unit
350: component information storage unit

Claims (16)

A guide providing apparatus for providing a component selection guide for machine vision,
The setting receiving unit receives detailed setting information including at least one of a check tolerance range expressed by a pixel or a unit of length and a minimum inspection target as setting information for an allowable tolerance range at the time of inspection of an attribute of an object ;
Recommending a component corresponding to the detailed setting information; And
Wherein the component selecting section includes the step of providing component information of the selected component among the recommended components,
The step of recommending the component comprises:
Receiving additional input information including at least one of a horizontal size of the sample, a vertical size of the sample, a moving speed of the sample per second, an inspection frequency per second, and an equal interval setting; And
Recommending the component based on the detailed setting information and the additional input information,
Wherein the component comprises at least one of a camera, an illumination, and a lens,
Wherein the property inspection of the object is based on the obtained image and is performed for an attribute of the object including at least one of pattern matching, dotted surface fitting, edge, color and position. The method according to claim 1,
The mode selection unit, prior to the step of receiving the detailed setting information,
Further comprising the step of providing a mode setting interface for receiving at least one of a first mode for barcode inspection and a second mode for vision inspection. 3. The method of claim 2,
Wherein the step of receiving the detailed setting information comprises:
And receiving the detailed setting information based on the mode input through the mode setting interface. delete The method according to claim 1,
And recommending the component based on the detailed setting information and the additional input information,
Wherein at least one of a camera model, a lens model, a proper focus distance, a proper aperture value, and illumination detail information for machine vision is recommended based on the detailed setting information. The method according to claim 1,
And recommending the component based on the detailed setting information and the additional input information,
Wherein at least one of a camera model and a lens model for machine vision is recommended based on the detailed setting information and the additional input information. The method according to claim 1,
Wherein the additional input information comprises:
An installation distance, and an inspection distance deviation,
And recommending the component based on the detailed setting information and the additional input information,
And recommends at least one of an appropriate focal length and a proper aperture value for machine vision based on the detailed setting information and the additional input information. The method according to claim 1,
Wherein the additional input information comprises:
An illumination type, and a sample material,
And recommending the component based on the detailed setting information and the additional input information,
Wherein illumination detail information for machine vision is recommended based on the detailed setting information and the additional input information. 9. The method of claim 8,
And recommending the component based on the detailed setting information and the additional input information,
Further comprising providing a sample image that can be viewed when using the illumination corresponding to the illumination detail information together with a recommendation of the illumination detail information. The method according to claim 1,
Wherein the component information storage unit further stores the component information of the selected component. delete delete delete A device for providing a component selection guide for machine vision,
A setting receiving unit configured to receive detailed setting information including at least one of an inspection tolerance range expressed by a pixel or a unit of length and a minimum inspection target as setting information for an allowable error range at the time of property inspection of an object;
A component recommending unit that recommends a component corresponding to the detailed setting information; And
And a component selection unit for providing component information of the selected component among the recommended components,
The component recommendation unit may include:
Receiving additional input information including at least one of a horizontal size of the sample, a vertical size of the sample, a moving speed of the sample per second, an inspection frequency per second, and an equal interval setting, Recommended,
Wherein the component comprises at least one of a camera, an illumination, and a lens,
Wherein the property inspection of the object inspects an attribute of the object including at least one of pattern matching, dotted surface fitting, edge, color, and position based on the acquired image. 15. The method of claim 14,
Further comprising a mode selection unit for providing a mode setting interface for receiving at least one of a first mode for bar code inspection and a second mode for vision inspection. 15. The method of claim 14,
Further comprising: a component information storage section for storing component information of the selected component.

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