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:
Feb. 01, 2022

Filed:

Oct. 26, 2017
Applicant:

Hailo Technologies Ltd., Ra'anana, IL;

Inventors:

Avi Baum, Givat Shmuel, IL;

Or Danon, Kiryat Ono, IL;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2006.01); G06F 12/02 (2006.01); G06N 3/063 (2006.01); G06F 12/06 (2006.01); G06N 20/00 (2019.01); G06F 30/30 (2020.01); G06F 30/27 (2020.01); G06F 7/501 (2006.01); G06F 7/523 (2006.01); G06F 9/50 (2006.01); G06F 17/10 (2006.01); G06F 5/01 (2006.01); G06N 3/08 (2006.01); G06F 13/16 (2006.01); G06F 9/30 (2018.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01); G06N 3/02 (2006.01);
U.S. Cl.
CPC ...
G06N 3/04 (2013.01); G06F 5/01 (2013.01); G06F 7/501 (2013.01); G06F 7/523 (2013.01); G06F 9/30054 (2013.01); G06F 9/5016 (2013.01); G06F 9/5027 (2013.01); G06F 12/0207 (2013.01); G06F 12/0646 (2013.01); G06F 12/0692 (2013.01); G06F 13/1663 (2013.01); G06F 17/10 (2013.01); G06F 30/27 (2020.01); G06F 30/30 (2020.01); G06K 9/46 (2013.01); G06K 9/62 (2013.01); G06N 3/02 (2013.01); G06N 3/0454 (2013.01); G06N 3/063 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06N 20/00 (2019.01); G06N 3/082 (2013.01); Y02D 10/00 (2018.01);
Abstract

A novel and useful augmented artificial neural network (ANN) incorporating an existing artificial neural network (ANN) coupled to a supplemental ANN and a first-in first-out (FIFO) stack for storing historical output values of the network. The augmented ANN exploits the redundant nature of information present in an input data stream. The addition of the supplemental ANN along with a FIFO enables the augmented network to look back into the past in making a decision for the current frame. It provides context aware object presence as well as lowers the rate of false detections and misdetections. The output of the existing ANN is stored in a FIFO to create a lookahead system in which both past output values of the supplemental ANN and 'future' values of the output of the existing ANN are used in making a decision for the current frame. In addition, the mechanism does not require retraining the entire neural network nor does it require data set labeling.


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