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:
Dec. 07, 2021

Filed:

Aug. 14, 2018
Applicant:

Beijing Baidu Netcom Science and Technology Co., Ltd., Beijing, CN;

Inventors:

Tianhan Xu, Beijing, CN;

Faen Zhang, Beijing, CN;

Kai Zhou, Beijing, CN;

Qian Wang, Beijing, CN;

Kun Liu, Beijing, CN;

Yuanhao Xiao, Beijing, CN;

Dongze Xu, Beijing, CN;

Jiayuan Sun, Beijing, CN;

Lan Liu, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06K 9/46 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00288 (2013.01); G06K 9/00228 (2013.01); G06K 9/00268 (2013.01); G06K 9/4628 (2013.01); G06K 9/6256 (2013.01); G06K 9/6274 (2013.01);
Abstract

An integrated facial recognition method and system. The method includes: receiving a request for acquiring an integrated facial recognition service sent by a user terminal, which includes: an identifier of a user-selected model associated with facial recognition of the user, and an identifier of an operation selected by the user from candidate operations; and executing distributedly an operation selected by the user from the candidate operations on the user-selected model associated with the facial recognition of the user to obtain an operation result, and storing the operation result. The embodiment has realized completing the operations such as training a model or developing a facial recognition application, without the need of buying hardware and establishing a software environment by the user, thereby saving the development cost and improving the convenience of using the facial recognition service.


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