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:
Jul. 02, 2024

Filed:

Jul. 10, 2019
Applicant:

Canaan Bright Sight Co., Ltd, Beijing, CN;

Inventors:

Minli Liu, Beijing, CN;

Nangeng Zhang, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06F 13/16 (2006.01); G06F 18/21 (2023.01); G06N 3/04 (2023.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 10/94 (2022.01);
U.S. Cl.
CPC ...
G06F 13/1668 (2013.01); G06F 18/21 (2023.01); G06N 3/04 (2013.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 10/955 (2022.01);
Abstract

An image recognition processing method and apparatus. The method comprises: obtaining original image data, convolutional neural network configuration parameters, and convolutional neural network operation parameters, the original image data comprising data of M pixel points (); performing convolutional neural network operation on the original image data by a convolutional neural network operation module () according to the convolutional neural network configuration parameters and the convolutional neural network operation parameters, wherein the convolutional neural network operation module () comprises N operation components () which are provided in parallel, each operation component () comprises a convolution operation unit (), a batch processing operation unit (), and an activation operation unit () which are sequentially connected, the N operation components () respectively simultaneously perform convolution operation, batch processing operation, and activation operation on data of N pixel points in the original image data, and N is a positive integer smaller than or equal to M (). The method improves the real-time performance of image recognition processing.


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