The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 21, 2017

Filed:

Jul. 28, 2014
Applicant:

Microview Technologies Pte Ltd, Singapore, SG;

Inventors:

Victor Vertoprakhov, Novosibirsk, RU;

Wong Soon Wei, Singapore, SG;

Sergey Smorgon, Krasniyarsk, RU;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); G01N 21/88 (2006.01); G01N 21/952 (2006.01); G06T 3/00 (2006.01); G06T 5/00 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0004 (2013.01); G01N 21/8803 (2013.01); G01N 21/8806 (2013.01); G01N 21/952 (2013.01); G06T 3/0043 (2013.01); G06T 5/006 (2013.01); G06T 2207/30108 (2013.01); G06T 2207/30164 (2013.01);
Abstract

A method of inspecting two or more sides of an object is provided. The method includes generating one set of image data of two or more sides of the object, such as by using spherical mirror segments that project all sides of the object onto a single image and generating an X by Y array of image data of the single image. The projection of the image data is then compensated for, such as by identifying inspection processes to locate defects of the object in the projected image data or by converting the image data from the projected inspection coordinates to Cartesian coordinates. Predetermined inspection processes are then performed on the compensated image data, such as by using the inspection processes that are optimized for use with the projected image data or by converting the projected image data into a Cartesian format and using Cartesian image data inspection processes.


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