JP2019086810A - Analysis system - Google Patents

Abstract

To provide an analysis system capable of performing analysis based on inspection results of articles.SOLUTION: The analysis system according to the embodiment includes a display unit, an input unit, a processing unit, and an output unit. The display unit displays a first image of a first article. The input unit receives a first operation of selecting a part of the first image. The first operation is performed according to the quality of the first article. The processing unit acquires, for each of the plurality of first images, a position of the selected part. The output unit outputs first information on the plurality of positions.SELECTED DRAWING: Figure 1

Description

  Embodiments of the present invention relate to an analysis system.

  In the manufacturing site of articles such as products, semi-finished products, or intermediate articles, inspection of these articles is performed. For example, in an inspection, it is confirmed whether or not an item is abnormal. Alternatively, in the inspection, it is tested whether the article meets a predetermined specification. An article determined to be defective by inspection is excluded from the production line, or part of the production process is performed again on the article.

  If there are many defective articles, productivity will be reduced. In order to improve the productivity of articles, it is effective to analyze based on the inspection results and implement measures. Therefore, development of an analysis system that can execute analysis based on test results is desired.

Patent No. 3818308

  The problem to be solved by the present invention is to provide an analysis system capable of performing analysis based on the inspection result of an article.

  The analysis system according to the embodiment includes a display unit, an input unit, a processing unit, and an output unit. The display unit displays a first image of a first article. The input unit receives a first operation of selecting a part of the first image. The first operation is performed according to the quality of the first article. The processing unit acquires, for each of the plurality of first images, the position of the selected part. The output unit outputs first information on the plurality of positions.

It is a block diagram showing composition of an analysis system concerning a 1st embodiment. It is a schematic diagram which illustrates the display content of a display part. It is a schematic diagram which illustrates the display content of a display part. It is a flow chart showing operation of an analysis system concerning a 1st embodiment. It is a schematic diagram which illustrates the display content of a display part. It is a flowchart showing operation | movement of the analysis system which concerns on the 1st modification of 1st Embodiment. It is a block diagram showing the composition of the analysis system concerning the 2nd modification of a 1st embodiment. It is a flowchart showing operation | movement of the analysis system which concerns on the 2nd modification of 1st Embodiment. It is a table which illustrates the information outputted from an output part. It is a schematic diagram for demonstrating the analysis system which concerns on the 3rd modification of 1st Embodiment. It is a flowchart showing operation | movement of the analysis system which concerns on the 3rd modification of 1st Embodiment. It is a block diagram showing the composition of the analysis system concerning a 2nd embodiment. It is a flowchart showing operation | movement of the analysis system which concerns on 2nd Embodiment. It is a schematic diagram for demonstrating the analysis system which concerns on the 3rd modification of 1st Embodiment.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
The drawings are schematic or conceptual, and the relationship between the thickness and width of each part, the ratio of sizes between parts, and the like are not necessarily the same as the actual ones. In addition, even in the case of representing the same portion, the dimensions and ratios may be different from one another depending on the drawings.
In the specification of the present application and the drawings, the same elements as those already described are denoted by the same reference numerals, and the detailed description will be appropriately omitted.

First Embodiment
FIG. 1 is a block diagram showing the configuration of an analysis system according to the first embodiment.
As shown in FIG. 1, the analysis system 100 includes a first storage unit 10, a processing unit 12, a display unit 14, an input unit 16, and an output unit 18. In this example, the analysis system 100 further includes an acquisition unit 20.

  The first storage unit 10 stores a first image of the first article. The first storage unit 10 also stores information on the position of each point on the first image. For example, the first image includes a plurality of pixels. The first storage unit 10 stores coordinates corresponding to each pixel. The first storage unit 10 is, for example, a hard disk drive (HDD) or a flash memory.

  The first article is, for example, a member, a raw material, or an intermediate for producing a product. The first article may be a product or a semi-finished product. Alternatively, the first item may be a target such as an installation operation or a loading operation. The first image is, for example, a picture, a part of a moving image, or a drawing representing a first article.

  The processing unit 12 refers to the first storage unit 10 and causes the display unit 14 to display the first image of the first article. The processing unit 12 includes, for example, a central processing unit (CPU), a memory, and the like. For example, one computer includes the first storage unit 10 and the processing unit 12. The computer including the first storage unit 10 may be different from the computer including the processing unit 12. In this case, the first storage unit 10 is, for example, a file server or the like connected to a computer including the processing unit 12 via a network.

  The input unit 16 receives a first operation for selecting a part of the first image. The first operation is performed according to the quality of the first article. For example, if a defect is found in part of the first article, the defect location is selected in the first operation. The defects include, for example, breakage of parts, missing parts, misalignment of parts, malfunction of parts, and the like. When the first article is a target such as an installation operation or a loading operation, the defect may be a portion where an operation error occurs. When a part of the first article (part included in the first article) is excellent, the part may be selected. In the first operation, a plurality of locations on the first image may be selected. The first operation is performed by the user of the analysis system 100. The user is, for example, a person who inspects the quality of the first item or a worker who carries out a process related to the first item. The input unit 16 sends a signal corresponding to the first operation to the processing unit 12.

  For example, the display unit 14 is a display, and the input unit 16 is a mouse and a keyboard. The user uses the mouse or the keyboard to move the cursor on the display, and places the cursor on a portion of the first image for selection. A touch panel display having the functions of both the display unit 14 and the input unit 16 may be used. In this case, the user touches and selects a part of the first image with a finger or a pen.

  The processing unit 12 refers to the first storage unit 10, and acquires the position of a part of the selected first image. The said position is represented by the coordinate, for example. When the first article in the first image is planar or substantially planar, the position is represented by, for example, two-dimensional coordinates. The position may be represented by three-dimensional coordinates. The processing unit 12 stores, for example, the acquired position in the first storage unit 10.

  The display of the first image by the display unit 14 and the input of the first operation to the input unit 16 are performed on a plurality of first articles. For this reason, the processing unit 12 acquires a plurality of positions for a plurality of first articles. The processing unit 12 generates first information on a plurality of positions.

The output unit 18 visualizes and outputs the first information. The output unit 18 is, for example, a display. The output unit 18 is a printer, and the first information may be output by printing. The output unit 18 is a speaker, and the first information may be output by voice.
One display may function as the display unit 14 and the output unit 18. A touch panel display functioning as the display unit 14, the input unit 16, and the output unit 18 may be used. The touch panel display may include the processing unit 12, or another terminal may function as the processing unit 12. For example, the processing unit 12 is a server connected to the touch panel display via a network.

  The acquisition unit 20 captures an image of the first article. The acquisition unit 20 is, for example, a camera. For example, the first image is a master image prepared by capturing the first article in advance by the acquisition unit 20. In this case, the same first image (master image) is displayed for each first article. When a drawing representing a first article is used as the first image (master image), the acquisition unit 20 is unnecessary.

  Each first article may be photographed by the acquisition unit 20. In this case, the plurality of first images may be different from one another. For example, the processing unit 12 extracts a plurality of first feature points in each first image. The processing unit 12 compares the plurality of first feature points with the plurality of second feature points included in the master image. The processing unit 12 obtains the position (coordinates) of each point of the photographed first image by superposing the plurality of first feature points on the plurality of second feature points.

Below, the specific example of the analysis method by the analysis system 100 is demonstrated.
2 and 3 are schematic views illustrating display contents of the display unit.
FIG. 4 is a flowchart showing the operation of the analysis system according to the first embodiment.

  First, as shown in FIG. 2A, the first image Pi1 of the first article G1 is displayed on the display unit 14 (step S1). The first article G1 includes, for example, a first part Co1, a plurality of second parts Co2, a plurality of third parts Co3 and a fourth part Co4. As an example, the first article G1 is a unit used for an electronic device. The first component Co1 is, for example, a substrate. Each of the second component Co2, the third component Co3, and the fourth component Co4 is an electronic component such as a capacitor, a resistor, a coil, or a semiconductor chip.

  A first operation for selecting a part of the first image Pi1 is input to the input unit 16 (step S2). By this operation, as shown in FIG. 2B, a part (point Po1) on the first image Pi1 is selected. This selection is made according to the quality of the first article G1. If there is no point to be selected based on the quality, the first operation may not be performed. In addition to the first operation, a comment (ground of operation) or the like may be input to the input unit 16.

  The processing unit 12 acquires the position of a part (point Po1) of the first image Pi1 (step S3). Thereafter, it is determined whether processing (steps S1 to S3) has been performed on n first articles G1 (n first images Pi1) (step S4).

  If the determination in step S4 is NO, steps S1 to S3 are executed for another first article G1. As a result, steps S1 to S3 are performed on the n first articles G1. In the example shown in FIG. 2C, the point Po1 is selected for one of the plurality of first images Pi1, and the point Po2 and the point Po3 are selected for another one of the plurality of first images Pi1. There is.

  The processing unit 12 generates first information on a plurality of positions (step S5). For example, when each position is represented by coordinates, the processing unit 12 generates a distribution of a plurality of coordinates as illustrated in FIG. In FIG. 2D, the horizontal axis represents two-dimensional coordinates, and the vertical axis represents the number of times selected. The first information includes, for example, this distribution. The output unit 18 outputs the first information (step S6).

Alternatively, the processing unit 12 divides a plurality of points included in the first image Pi1 into a plurality of areas, and generates a distribution representing the number of times of selection of each area as illustrated in FIG. 3A. It is good.
Alternatively, the processing unit 12 divides a plurality of points included in the first image Pi1 into a plurality of areas in the X direction or the Y direction, and as illustrated in FIG. 3B or 3C, respectively. A distribution may be generated that represents the selected number of times the area of.
In FIG. 3A to FIG. 3C, the horizontal axis represents the position of each area, and the vertical axis represents the number of times of selection.

  Furthermore, when generating the first information, the processing unit 12 may issue a notification to a predetermined transmission destination such as a user of the analysis system 100 or a person who manages the manufacturing process of the first article. The notification is performed, for example, by sending a mail or pop-up display on the screen of a predetermined terminal.

  The processing unit 12 may further transmit, to the output unit 18, the first image and information indicating a part of the selected first image. For example, the output unit 18 outputs a first image in which a plurality of points are superimposed and displayed. The plurality of points represent the portion of the selected first image. The processing unit 12 may transmit information to the output unit 18 so that only the point selected on the date designated by the user is displayed on the first image. The processing unit 12 may transmit information to the output unit 18 so that only a point for selecting a specific part included in the first article is displayed on the first image.

  Alternatively, in step S5, the processing unit 12 may calculate the distance between the selected parts of the plurality of first images Pi1 based on the plurality of positions. In this case, for example, the first information includes a list of a plurality of distances. Alternatively, a plurality of distances may be classified into predetermined ranges, and the number of distances falling within each of the distance ranges may be output.

  According to the analysis system 100 according to the embodiment, the user selects a part of the first image based on the quality of the first article in the inspection of the first article or the like. By performing selection on the plurality of first images, the positions of the selected partials are automatically counted, and the first information is generated. The user can confirm the first information output from the analysis system 100 and analyze the manufacturing process of the first article or the first article based on the first information.

  As an example, in the case where the first information includes the distribution represented in FIG. 2D, the user can know, based on the first information, a part where the number of times selected based on the quality is high. In the case where the first information includes the distribution represented in any of FIG. 3A to FIG. 3C, the user is required to know, based on the first information, the area in which the number of times selected based on the quality is high. Can. For example, when a defective part is selected on the first image Pi1, the user can know the part where a defect is likely to occur based on the first information. Based on this recognition, the occurrence of defects can be suppressed by changing the parts corresponding to the defect points or changing the design of the parts.

  As another example, the processing unit 12 may generate the distribution illustrated in FIG. 2D, and may further calculate the distance between places where the number of times of selection is large. Alternatively, when the number of times of selection on the first image is small, the processing unit 12 may calculate the distance between selected parts of the plurality of first images Pi1. In this case, for example, the first information includes a list of a plurality of the distances. When a defective portion is selected on the first image Pi1, when the calculated distance is short, the specific parts are mutually placed near each other, which adversely affect each other, or a defect in a specific area It is conceivable that the structure is likely to occur.

  As described above, by using the analysis system 100 according to the first embodiment, it is possible to analyze efficiently based on the inspection result of the first article.

The distribution shown in FIG. 2D is effective when the total number of times selected is relatively large. According to the distribution shown in FIG. 2 (d), it is possible to investigate in more detail the points that are frequently selected based on the quality.
The distributions shown in FIG. 3A to FIG. 3C are effective when the total number of times selected is relatively small. This is because, even when the total number of times selected is small, by counting the number of times selected for each area, it becomes easy to find an area where the number of times selected is relatively large.

Further, when selecting a part of the first image Pi, incidental information may be input using the input unit 16. The incidental information is, for example, the reason for selection. When a defect point is selected on the first image Pi, the incidental information is, for example, a specific type of defect.
In this case, the processing unit 12 issues a notification to a predetermined transmission destination when the position of the part of the selected first image Pi1 and the incidental information match the information input in the past. Also good. In addition, the processing unit 12 may execute a predetermined operation when matching of these pieces of information occurs a predetermined number of times within a predetermined period. This operation is, for example, stopping the production line of the first article.

(First modification)
The analysis system according to the embodiment may execute the operation described below.
FIG. 5 is a schematic view illustrating display contents of the display unit.
FIG. 6 is a flowchart showing the operation of the analysis system according to the first modification of the first embodiment.

  First, the first image Pi1 is displayed on the display unit 14 (step S10). At this time, as shown in FIG. 5A, for example, the input field EF is further displayed on the display unit 14. Before selecting a part of the first image Pi1, the user uses the input unit 16 to input component information (for example, the name of the component) in the input field EF (step S11).

  A first operation for selecting a part of the first image Pi1 is input according to the quality of the first article G1 (step S12). By the first operation, at least one component corresponding to the component information input to the input field EF is selected on the first image Pi1. In the example shown in FIG. 5B, the third component Co3 is a capacitor, and a plurality of points Po1 are selected corresponding to a plurality of capacitors on the first image Pi1. Different types of parts may also be selected. In that case, after the above operation, information of another part is input to the input field EF, and another part is selected on the first image Pi1. Thus, the selected point is associated with the part information.

  Steps S13 and S14 are respectively executed in the same manner as steps S3 and S4 shown in FIG. Thus, as illustrated in FIG. 5C, steps S10 to S13 are performed on the n first images Pi1. In the example shown in FIG. 5C, a plurality of fourth components Co4 which are semiconductor chips are selected in another first image Pi1.

  The processing unit 12 generates first information on a plurality of positions (step S15). The processing unit 12 further counts the number of points selected by the plurality of first operations for the plurality of first images Pi1, and generates second information based on the part information and the result of the counting (step S16). Step S16 may be performed before step S15 or simultaneously with step S15. The output unit 18 outputs second information in addition to the first information (step S17). The second information includes, for example, the ratio of the number of selection points of each part to the number of all selection points, as shown in FIG. 5 (d). In the example of FIG. 5D, each ratio is further displayed in association with the part information. The processing unit 12 may further cause the first image Pi1 to display a part of the first image Pi1 selected for the component having the high ratio.

  According to the analysis system of the first modification, the number of times of selection of parts is counted and output together with the first information and the parts information. For example, when the selection of a part of the first image is input based on a defect of a part, the user adds a part having a large number of defects to the distribution of the defect from the output of the analysis system according to the first modification. I can know. For this reason, according to the analysis system according to the first modification, more detailed analysis of the first article becomes possible.

(2nd modification)
FIG. 7 is a block diagram showing the configuration of an analysis system according to a second modification of the first embodiment.
As shown in FIG. 7, the analysis system 110 according to the second modification of the first embodiment further includes a reading unit 22 and a second storage unit 24.

  The reading unit 22 reads the unique identification information attached to the first article G1. For example, a barcode is attached to the first item G1. In this case, the reading unit 22 is a bar code reader. The first article G1 may have an RFID (radio frequency identifier) tag. In this case, the reading unit 22 is an RFID reader. The reading unit 22 transmits the read identification information to the processing unit 12.

  The second storage unit 24 stores article information related to the first article G1. For example, the article information includes, for the first article G1, a serial number, a product type, a product name, a manufacturing date, and the like. The item information is associated with the identification information. When receiving the identification information, the processing unit 12 refers to the second storage unit 24 and acquires item information. The second storage unit 24 is, for example, an HDD or a flash memory. One HDD or one flash memory may function as the first storage unit 10 and the second storage unit 24.

FIG. 8 is a flowchart showing the operation of the analysis system according to the second modification of the first embodiment.
The identification information is read using the reading unit 22 (step S20). The processing unit 12 refers to the second storage unit 24 and acquires item information associated with the identification information (step S21). For example, steps S22 to S24 are respectively executed in the same manner as steps S1 to S3 shown in FIG. The output unit 18 outputs the position of a part of the selected first image Pi1 and the article information (step S25).

  In the above operation, steps S20 to S24 may be repeated for the n first articles G1. In this case, a plurality of positions and a plurality of item information are acquired. The output unit 18 outputs, for example, a plurality of positions and a plurality of item information. The output unit 18 may output the first information and the plurality of item information regarding the plurality of positions.

FIG. 9 is a table illustrating information output from the output unit.
The table in FIG. 9 represents the results analyzed using the analysis system 110 in multiple steps to produce the first article. For example, the plurality of processes include a first assembly process to a third assembly process and a first test process to a third test process. In this example, the first article is a PC (personal computer). When a defect is found in the first article G1 in each step, the portion of the defect is selected on the first image Pi1.

  The table in FIG. 9 represents, from the left, date of occurrence, time, serial number, product type, product name, process name, part name, coordinates, and remarks. The occurrence date and time represent the date and time when the failure occurred (discovered), respectively. The process name represents the process in which the failure occurred. The part name represents the name of the part in which the defect occurred.

  By outputting the position and the item information, the correlation between the position and the item information can be confirmed. This enables more detailed analysis. For example, if the failure frequency is high in the serial numbers included in a small number of lots, it is highly likely that the process or the worker performed for the lots is the cause. By performing such an analysis, it becomes possible to identify the cause of the failure more specifically or prevent the failure. Further, as shown in FIG. 9, by outputting the date and time when the first operation is input, it is possible to further analyze based on the correlation between the date and time and the defect.

(Third modification)
FIG. 10 is a schematic view for explaining an analysis system according to a third modification of the first embodiment.
The first article is manufactured, for example, by performing a plurality of steps on the first part. As an example, the first component is a substrate. The plurality of parts are mounted on the substrate by the plurality of steps, and the first article is manufactured.

  For example, as shown in FIGS. 10A to 10C, the second part Co2, the plurality of third parts Co3 and the plurality of fourth parts Co4 are sequentially mounted on the first part Co1. , The first article G1 is manufactured.

  The first storage unit 10 stores a plurality of processing areas. The plurality of processing regions are each associated with a plurality of processes. The plurality of processing regions correspond to regions in which processing is performed on the first component Co1 in a plurality of steps. The first storage unit 10 also stores process information related to each process. The process information includes, for example, the name or number of a process for identifying the process. Here, "processing" includes human or machine work and processing performed on the first part.

  Regions R1 to R3 are illustrated as a plurality of processing regions in FIGS. 10 (d) to 10 (f). The region R1 shown in FIG. 10 (d) corresponds to the region where the process is performed in the step shown in FIG. 10 (a). The region R2 shown in FIG. 10 (e) corresponds to the region where the process is performed in the step shown in FIG. 10 (b). The region R3 shown in FIG. 10 (f) corresponds to the region where the process is performed in the step shown in FIG. 10 (c).

FIG. 11 is a flowchart showing the operation of the analysis system according to the third modification of the first embodiment.
Here, the case where the analysis system according to the third modification is used after the first step which is one of the plurality of steps is performed will be described.

  Steps S30 to S32 are respectively executed in the same manner as steps S1 to S3 shown in FIG. The processing unit 12 refers to the first storage unit 10, and acquires a first processing area in which the process is performed on the first component in the first process (step S33). Step S33 may be performed simultaneously with any one of steps S30 to S32, or may be performed before steps S30 to S32.

  The processing unit 12 determines whether the first processing area includes the selected position (step S34). When the first processing area includes the position, the processing unit 12 extracts process information on the first process (step S35). The output unit 18 outputs process information (step S36).

As one example, as shown in FIG. 10G, the point Po1 is input in one of the plurality of first images Pi1. The point Po1 is included in the region R1 in which the process is performed in the process illustrated in FIG. The processing unit 12 extracts process information related to the process shown in FIG.
A point Po2 is input in another one of the plurality of first images Pi1. The point Po2 is included in the region R2 in which the process is performed in the process illustrated in FIG. The processing unit 12 extracts process information related to the process shown in FIG.

  The processing unit 12 may compare a plurality of processing regions related to a plurality of steps with the position. For example, the processing unit 12 compares the first processing area with the position, and compares the second processing area with the position. The second processing area corresponds to an area where the first part is processed in the second step. When the first processing area and the second processing area include the positions, the processing unit 12 extracts, for example, two pieces of process information corresponding to the first process and the second process.

  Steps S30 to S35 may be performed on the plurality of first images Pi1. In this case, the processing unit 12 may extract one or more processing regions including more of the positions. For example, the processing unit 12 extracts one or more processes associated with the one or more processing regions, and extracts one or more process information regarding the one or more processes.

  According to the analysis system of the third modification, the association between a part of the selected first image Pi1 and the process is output. For example, when a part of the first image Pi1 is selected based on a defect of a part, process information corresponding to the processing area including the defect portion is output. Therefore, the user of the analysis system can estimate the process in which the failure occurred by confirming the result output from the analysis system. For this reason, according to the analysis system of the third modification, more efficient analysis is possible.

Second Embodiment
FIG. 12 is a block diagram showing the configuration of an analysis system according to the second embodiment.
FIG. 13 is a flowchart showing the operation of the analysis system according to the second embodiment.
FIG. 14 is a schematic view for explaining an analysis system according to a third modification of the first embodiment.

  The analysis system 200 according to the second embodiment shown in FIG. 12 includes, for example, the same configuration as the analysis system 100 according to the first embodiment shown in FIG. For example, in the case where the first article G1 includes a plurality of similar parts, the analysis system 200 is used to count the number of parts and obtain an index related to manufacturing.

  Steps S40 and S41 shown in FIG. 13 are performed, for example, in the same manner as steps S10 and S11 shown in FIG. As a result, for example, as shown in FIG. 14A, the information of the component (for example, the name of the component) is input to the input field EF. Thereafter, as shown in FIG. 14B, a plurality of parts are selected on the first image Pi1 using the input unit 16 (step S42). The processing unit 12 acquires the position of each of the plurality of input points Po1 (step S43).

  The processing unit 12 calculates the distance between each position (point Po1) (step S44). In the example shown in FIG. 14C, six distances d1 to d6 are calculated. In addition, in FIG.14 (c), several point Po1 vicinity is expanded and represented. The output unit 18 outputs first information based on the calculation result (step S45). For example, the processing unit 12 extracts the minimum distance from the distances d1 to d6. The output unit 18 outputs first information including the minimum distance.

  When the first article G1 includes a plurality of types of parts, the above-described steps S40 to S45 may be performed on each type of part.

  Generally, the smaller the distance between the parts, the more difficult it is to manufacture. For example, when analyzing articles of other companies, by obtaining the minimum distance between parts, it is possible to know the level of difficulty in manufacturing the articles, the technical level of the other companies, and the like. Also, by further considering the prices of other companies' articles, it is possible to know the correlation between the manufacturing difficulty level and the technical level, and the price.

  By using the analysis system 200 according to the second embodiment, it is possible to automatically obtain the minimum distance between parts by selecting a plurality of parts included in the article on the first image. Therefore, according to the analysis system 200 according to the second embodiment, it is possible to easily analyze the manufacturing difficulty level and the technical level based on the first article G1.

  The processing unit 12 may further calculate the area of the first part Co1 from the first image Pi1. For example, the processing unit 12 divides the area by the number of parts to calculate the number of parts per unit area (part density). The output unit 18 outputs the first information and the component density. Generally, the higher the part density, the more difficult it is to manufacture. By obtaining the component density, as with the minimum distance, it is possible to know the degree of difficulty in manufacturing an article, the technical level of other companies, and the like.

  Although the case where the first article in the first image is selected has been described above, the invention according to each embodiment may be applied when a person in the first image is selected. In this case, for example, the first image is a photograph representing the entire production site or work site. For example, by repeatedly selecting a person included in the first image for each predetermined time, the distribution of the number of people for each time of the site is totaled. Alternatively, the flow line analysis of the person can be performed by repeatedly selecting a specific person every predetermined time.

  While certain embodiments of the present invention have been illustrated, these embodiments have been presented by way of example only, and are not intended to limit the scope of the invention. These novel embodiments can be implemented in other various forms, and various omissions, replacements, changes, and the like can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and the gist of the invention, and are included in the invention described in the claims and the equivalent scope thereof. In addition, the embodiments described above can be implemented in combination with each other.

  Reference Signs List 10 first storage unit 12 processing unit 14 display unit 16 input unit 18 output unit 20 acquisition unit 22 reading unit 24 second storage unit 100, 110 200 analysis system Co1 to Co4 parts G1 First item, Pi1 first image, Po1 to Po3, PoX point, R1 to R3 area

Claims (9)

A display unit for displaying a first image of a first article;
An input unit to which a first operation to select a part of the first image is input, wherein the first operation is performed according to the quality of the first article;
A processing unit configured to obtain the selected position of each of the plurality of first images;
An output unit that outputs first information on the plurality of positions;
Analysis system equipped with. The processing unit generates a distribution of the plurality of positions;
The analysis system according to claim 1, wherein the output unit outputs the first information including the distribution. In the input unit, part information on parts included in the first article is further input,
The processing unit counts the number of points selected in the plurality of first operations for the plurality of first images,
The analysis system according to claim 1, wherein the output unit further outputs second information based on the part information and the aggregated result. It further comprises a reading unit,
The first item is attached with identification information associated with item information on the first item,
The reading unit can read the identification information.
The analysis system according to any one of claims 1 to 3, wherein the output unit further outputs the article information. A display unit for displaying a first image of a first article including the first part;
An input unit to which a first operation to select a part of the first image is input;
A processing unit,
Equipped with
The plurality of steps for manufacturing the first article includes a first step of performing an operation on a first part,
The first operation is performed according to the quality of the first article,
The processing unit is
Get the position of the selected part,
Comparing the position with the processing area in which processing is performed on the first part in the first step;
An analysis system that extracts process information related to the first process when the process area includes the position. A display unit for displaying a first image of a first article;
An input unit to which a first operation to select a plurality of points on the first image is input;
A processing unit that acquires the position of each of the plurality of points and calculates the distance between each of the plurality of points;
An output unit that outputs first information based on the calculated result;
Analysis system equipped with. The processing unit extracts a minimum distance from the plurality of distances.
The analysis system according to claim 6, wherein the output unit outputs the first information including the minimum distance.   The analysis system according to claim 6, wherein the plurality of points are selected corresponding to a plurality of first parts included in the first article. The processing unit further
Calculating an area of the first article from the first image;
The component density is calculated by dividing the area by the number of the plurality of points,
The analysis system according to claim 8, wherein the output unit further outputs the component density.

Images