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:
Jan. 12, 2021

Filed:

Oct. 26, 2018
Applicant:

Emc Ip Holding Company Llc, Hopkinton, MA (US);

Inventors:

Assaf Natanzon, Tel Aviv, IL;

Amihai Savir, Sansana, IL;

Oshry Ben-Harush, Kibbutz Galon, IL;

Anat Parush Tzur, Beer Sheva, IL;

Assignee:

EMC IP Holding Company LLC, Hopkinton, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/625 (2014.01); H04N 19/61 (2014.01); G06N 3/04 (2006.01); G06F 17/14 (2006.01);
U.S. Cl.
CPC ...
H04N 19/625 (2014.11); G06F 17/147 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); H04N 19/61 (2014.11);
Abstract

Techniques are provided for sensor data compression in a multi-sensor Internet of Things environment. An exemplary method comprises obtaining sensor data from a plurality of sensors satisfying one or more of predefined sensor proximity criteria and predefined similar sensor type criteria; applying an image-based compression technique to the sensor data to generate compressed sensor data; and providing the compressed sensor data to a data center. The image-based compression technique comprises a discrete cosine transform technique, a video compression technique, and/or an auto-encoder deep learning technique that utilizes one or more over-fitted bidirectional recurrent convolutional neural networks. The sensor data is optionally normalized prior to being applied to the image-based compression technique.


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