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:
Mar. 30, 2021

Filed:

Jan. 10, 2020
Applicant:

Qingdao University of Technology, Shandong, CN;

Inventors:

Chengjun Chen, Shandong, CN;

Chunlin Zhang, Shandong, CN;

Dongnian Li, Shandong, CN;

Jun Hong, Shandong, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06T 19/20 (2011.01); H04N 7/18 (2006.01);
U.S. Cl.
CPC ...
G06T 7/11 (2017.01); G06T 19/20 (2013.01); H04N 7/18 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30108 (2013.01); G06T 2219/004 (2013.01); G06T 2219/2012 (2013.01);
Abstract

The present invention relates to an assembly monitoring method based on deep learning, comprising steps of: creating a training set for a physical assembly body, the training set comprising a depth image set Dand a label image set Lof a 3D assembly body at multiple monitoring angles, wherein i represents an assembly step, the depth image set Din the ith step corresponds to the label image set Lin the ith step, and in label images in the label image set L, different parts of the 3D assembly body are rendered by different colors; training a deep learning network model by the training set; and obtaining, by the depth camera, a physical assembly body depth image C in a physical assembly scene, inputting the physical assembly body depth image C into the deep learning network model, and outputting a pixel segmentation image of the physical assembly body, in which different parts are represented by pixel colors to identify all the parts of the physical assembly body. In the present invention, parts in the assembly body can be identified, and the assembly steps, as well as the occurrence of assembly errors and the type of errors, can be monitored for the parts.


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