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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.

Patent No.:

US 12111267 B1

PDFFull Text
Date of Patent:
Oct. 08, 2024

Filed:

Sep. 25, 2023

System for detecting surface type of object and artificial neural network-based method for detecting surface type of object

Applicant:

Getac Holdings Corporation, Taoyuan, TW;

Inventor:

Kun-Yu Tsai, Taipei, TW;

Assignee:

Getac Holdings Corporation, , TW;

Attorneys:

Andy M. Han

Han IP PLLC

Primary Examiner:

Boubacar Abdou Tchoussou

Int. Cl.
CPC ...
G01N 21/88 (2006.01); G01J 3/28 (2006.01); G01N 21/01 (2006.01); G01N 21/3581 (2014.01); G01N 21/952 (2006.01); G01N 21/956 (2006.01); G06F 17/16 (2006.01); G06F 18/214 (2023.01); G06N 3/04 (2023.01); G06N 3/047 (2023.01); G06N 3/063 (2023.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/40 (2017.01); G06T 7/45 (2017.01); G06T 7/586 (2017.01); G06V 10/143 (2022.01); G06V 10/145 (2022.01); G06V 10/22 (2022.01); G06V 10/24 (2022.01); G06V 10/25 (2022.01); G06V 10/60 (2022.01); G06V 20/64 (2022.01);
U.S. Cl.
CPC ...
G01N 21/8806 (2013.01); G01J 3/2823 (2013.01); G01N 21/01 (2013.01); G01N 21/3581 (2013.01); G01N 21/8851 (2013.01); G01N 21/952 (2013.01); G01N 21/956 (2013.01); G06F 17/16 (2013.01); G06F 18/2148 (2023.01); G06N 3/04 (2013.01); G06N 3/047 (2023.01); G06N 3/063 (2013.01); G06N 3/08 (2013.01); G06T 7/0004 (2013.01); G06T 7/11 (2017.01); G06T 7/40 (2013.01); G06T 7/45 (2017.01); G06T 7/586 (2017.01); G06T 7/97 (2017.01); G06V 10/143 (2022.01); G06V 10/145 (2022.01); G06V 10/22 (2022.01); G06V 10/242 (2022.01); G06V 10/25 (2022.01); G06V 10/60 (2022.01); G06V 20/64 (2022.01); G06V 20/647 (2022.01); G01N 2021/8887 (2013.01); G06T 2207/10152 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A system for detecting a surface type of an object includes a driver component, a driver component, and a plurality of photosensitive elements. The surface of the object is divided along a first direction into a plurality of areas, and the driver component sequentially moves one of the plurality of areas to a detection position. The light source component faces the detection position and provides light of a plurality of spectra that are different from one another to illuminate the detection position. The photosensitive elements face different sections of the area at the detection position, to capture detection images of different sections of the area located at the detection position under the light of each of the spectra. One photosensitive axis of the photosensitive elements is parallel to the normal line while another photosensitive axis of the photosensitive elements is between the normal line and the first direction.

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