JPWO2016083897A5

JPWO2016083897A5 -

Info

Publication number: JPWO2016083897A5
Application number: JP2017546056A
Authority: JP
Publication date: 2022-04-04
Anticipated expiration: 2035-11-24

Description

図５に描かれるように、部品／対象物を検査／処理する時、（本明細書に記載されるような方法で）その部品の多次元モデルが生成され／取得され得る（５１０）。基準化多次元モデルは、任意の数の部品の態様や要素などを含む及び／又はその他に組み込み得ることを理解されたい。例えば、基準化多次元モデルは、サイズ、形状、構造（二次元、三次元など）、材料組成を含むがこれらに限定されない、部品の態様（及び／又はその範囲、領域など）を組み込み得る。その後、そのようなモデルは、部品を最小識別単位の部品（「最小識別単位」）（例えば、微小な表面、ネジ、コネクタなど）へと論理的に分割するために処理され得る（５２０）。生成された最小識別単位の各々は、基準化品質判定（５４０）を産出するために、例えば基準化知識基盤（５０５）及び／又は光学ヘッド構成（５１５）の様々な態様を用いて、個々に考慮且つモデル化され得る（５３０）。その後、複数の最小識別単位の品質評価は、（例えば、与えられた検査済み部品に関する光学ヘッドの）完全な品質スコア／判定（５５０）を生成するために組み合わされ／一体化され得る。 As depicted in FIG. 5, when inspecting / processing a part / object, a multidimensional model of that part (as described herein) can be generated / acquired (510). It should be understood that a standardized multidimensional model may include and / or incorporate any number of component aspects, elements, etc. For example, a standardized multidimensional model may incorporate aspects (and / or ranges, regions, etc.) of parts that include, but are not limited to, size, shape, structure (two-dimensional, three-dimensional, etc.), material composition, and the like. Such a model can then be processed to logically divide the part into parts of the smallest discriminant unit (“ minimum discriminant unit ”) (eg, microsurfaces, screws, connectors, etc.) (520). Each of the generated minimum discriminant units individually uses various aspects of, for example, a standardized knowledge base (505) and / or an optical head configuration (515) to produce a standardized quality determination (540). Can be considered and modeled (530). The quality assessments of the plurality of minimum identification units can then be combined / integrated to generate a complete quality score / judgment (550) (eg, of the optical head for a given inspected part).

Claims

It ’s an inspection method,
The process of capturing one or more images of a reference part ,
A step of processing one or more images of a reference part to generate an inspection model of a reference part, wherein the inspection model includes identification of a plurality of elements, and the processing step is based on the identification. The process, which comprises querying the best practice database for the inspection parameters applied to the identified elements, the inspection model is divided into minimum identification units, each of which is the minimum identification unit.
Based on the query, one or more analytical parameters containing at least one peculiar type of testing technique associated with said element of the best practice database are associated with one or more areas of the testing model containing said identified element. Process ,
A step of generating an inspection plan based on an inspection model and one or more analytical parameters by a processing device, wherein the inspection plan identifies specific elements of a reference part and specific inspection parameters for such elements. Including the association of inspection techniques , processes ,
The process of capturing one or more images of the parts to be inspected based on the inspection plan ,
A step of processing one or more images of a part related to an analysis parameter in order to calculate one or more determination values for the part, wherein the processing step is for a plurality of elements.
A step and one or more steps comprising (a) identifying an element in the image as the minimum discriminant unit and (b) applying the associated specific inspection parameter and specific inspection technique to the element. A step of providing one or more outputs based on a determination value,
An inspection method comprising.

The inspection method according to claim 1, wherein calculating one or more determination values individually considers each of the minimum identification units in order to calculate a quality determination value.

The inspection method according to claim 1 or 2, wherein the same element in the component has various inspection parameters depending on the position of the element in the reference component.

The inspection method according to any one of claims 1 to 3, wherein the association includes various associations between the parts of the inspection model and the sub-parts.

The inspection method according to any one of claims 1 to 4, wherein the application comprises identifying the presence or absence of the element.

The inspection method according to any one of claims 1 to 5, wherein identifying the plurality of elements includes identifying a screw , a connector, and / or a label.

The inspection method according to any one of claims 1 to 6, wherein the step of capturing based on the inspection plan includes capturing using at least one fixed camera.

The reference component includes a computer-aided design (CAD) model that reflects the reference component, the method comprising configuring the robot arm to steer an image capture device in relation to the reference component based on the CAD model. The inspection method according to any one of claims 1 to 7, further comprising.

The step of capturing one or more images of the reference part includes the step of capturing one or more images of the reference part based on one or more image supplemental parameters associated with the reference part.
One or more image capture parameters
(A) Material of reference parts,
(B) One or more sizes of reference parts,
(C) One or more lighting types used to capture one or more images of the reference component, or
(D) One or more features of the image capture device used to capture one or more images of the reference component,
The inspection method according to any one of claims 1 to 8, comprising one or more image supplemental parameters associated with at least one of.

The inspection model contains one or more visual features of the reference part, one or more visual features of the reference part being one or more geometric properties of the reference part, or one or more reflection characteristics of the reference part. The inspection method according to any one of claims 1 to 9, which comprises at least one of them.

The inspection model reflects one or more defect tolerances associated with a reference part, and one or more defect tolerances are determined based on the discrepancies identified in each inspection of the plurality of reference parts, claim 1. The inspection method according to any one of 10.

The process of processing one or more images of a reference part is
(I) A step of calculating one or more estimates associated with a reference component based on one or more visual features of the reference component, wherein the one or more estimates are in (a) the material of the reference component. A process, or a process, or comprising one or more estimated visual features associated with at least one of change, (b) the reflective properties of the reference part, or (c) the angle of the reference part.
(Ii) A step of comparing a CAD model of a reference component with one or more images of a reference component, based on a determination value of a mismatch between the CAD model of the reference component and one or more images of the reference component. The process of determining that a possible discrepancy is not a defect
The inspection method according to any one of claims 1 to 11, which comprises at least one of the above.

The process of generating an inspection plan is
(I) A step of processing an inspection model with respect to one or more test requirements to generate an inspection plan, where one or more test requirements are one or more inspection parameters associated with one or more ranges of the inspection model. The process,
(Ii) Process the inspection model to predict one or more ranges of the inspection model in which defects are expected to be present, and one or more inspection parameters with respect to one or more ranges of inspection models in which defects are expected to be present. The process of associating,
(Iii) In the process of processing an inspection model for one or more test requirements to generate an inspection plan, one or more test requirements are based on one or more variability identified for inspection of reference parts. Generated, process, or
(Iv) A step of modifying one or more aspects of an inspection plan based on one or more reflection characteristics of the part to be inspected.
The inspection method according to any one of claims 1 to 12, which comprises at least one of the above.

The inspection method according to any one of claims 1 to 13, wherein the inspection plan sets the positioning of the robot arm for one step in the inspection sequence based on the subsequent steps in the inspection sequence.

The steps of generating an inspection plan are the steps of receiving information belonging to one or more aspects of the manufacturing process, and one or more aspects of the manufacturing process, indicating the possibility of the presence of one or more ranges of defects in the part being inspected. The inspection method according to any one of claims 1 to 14, comprising the step of modifying the inspection plan by prioritizing the inspection of one or more ranges of parts based on.

The step of capturing one or more images of the part to be inspected comprises processing one or more images of the part to be inspected in order to position the part, the method of which is relative to the part based on the positioning. The inspection method according to any one of claims 1 to 15, further comprising a step of adapting the execution of the inspection plan.

The step of providing one or more outputs comprises the step of presenting one or more determination values through a graphical user interface (GUI), wherein the method further receives one or more feedback items through the GUI for one or more determination values. The inspection method according to any one of claims 1 to 16, comprising a step and a step of adjusting the inspection plan based on one or more feedback items.

The process of providing one or more outputs is
(I) A step of providing a determination value of 1 or more to a design engine associated with a component, wherein the method further adjusts one or more aspects of the design of the component from the viewpoint of the determination value of 1 or more. Including, process,
(Ii) A step of providing one or more determination values to a manufacturing station associated with a part, wherein the method further adjusts one or more aspects of manufacturing the part in terms of one or more determination values. Including, process, or
(Iii) A step of generating one or more correction instructions capable of correcting a defect identified in a part and providing the manufacturing station with one or more correction instructions associated with the part.
The inspection method according to any one of claims 1 to 17, which comprises at least one of the above.

13. Inspection methods.

The inspection model includes a multidimensional model of the reference part, the multidimensional model is one or more aspects of the structure of the reference part, one or more aspects of the raw material composition of the reference part, and one or more visuals of the reference part. The inspection method according to any one of claims 1 to 19, which comprises a definition of a feature.

A system comprising one or more processors configured to perform the inspection method according to any one of claims 1-20.