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:
Apr. 19, 2022

Filed:

Apr. 11, 2019
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Kwansik Yang, Suwon-si, KR;

Jaehong Kim, Suwon-si, KR;

Sangkyung Lee, Suwon-si, KR;

Byeongcheol Hyeon, Suwon-si, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G09G 3/20 (2006.01); G06F 3/14 (2006.01);
U.S. Cl.
CPC ...
G09G 3/2092 (2013.01); G06F 3/1446 (2013.01); G09G 2300/026 (2013.01); G09G 2320/0233 (2013.01); G09G 2320/043 (2013.01); G09G 2320/0693 (2013.01); G09G 2354/00 (2013.01); G09G 2360/16 (2013.01);
Abstract

An electronic device is disclosed. The disclosed electronic device comprises a display including a first display module and a second display module, a processor, and a memory, wherein the memory may store instructions that cause the processor to store first data obtained from the first display module and second display data obtained from the second display module, accumulate the first data over a predetermined period to obtain an average value of the first data, accumulate the second data over a predetermined period to obtain an average value of the second data, and control the display to display guide information requesting the positions of the first display module and the second display module to change using the average value of the first data and the average value of the second data. In addition, at least a portion of the electronic device may use a rule-based model or an artificial intelligence data recognition model trained according to at least one of a machine learning, a neural network, or a deep learning algorithm. The rule-based model or the artificial intelligence data recognition model may estimate whether to replace the display module by using, as input values, the first data generated by the first display module and the second data generated by the second display module.


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