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:
Nov. 26, 2024

Filed:

Nov. 02, 2018
Applicant:

Sensormatic Electronics, Llc, Boca Raton, FL (US);

Inventors:

Peter Alexander Ainsworth, Oxfordshire, GB;

Ian C. Westmacott, Tewksbury, MA (US);

Martin J. Donaghy, Antrim, GB;

Derek Boyes, Armagh, GB;

Terry Neill, Antrim, GB;

John McKenna, County Derry, GB;

Anne Gallagher, Belfast, GB;

Mark Paterson, Newtownards Down, GB;

Ashish Italiya, Newtownabbey, GB;

Assignee:

SENSORMATIC ELECTRONICS, LLC, Boca Raton, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/0631 (2023.01); A61B 5/1171 (2016.01); A61B 5/16 (2006.01); G06Q 10/105 (2023.01); G06Q 10/1093 (2023.01); G06V 40/16 (2022.01); G07C 9/00 (2020.01); G07C 9/25 (2020.01); G07C 9/30 (2020.01); G07C 9/37 (2020.01); G08B 13/196 (2006.01); H04L 9/40 (2022.01); H04N 7/18 (2006.01); H04W 4/02 (2018.01); H04W 4/029 (2018.01); G06Q 50/26 (2024.01);
U.S. Cl.
CPC ...
H04L 63/102 (2013.01); A61B 5/1176 (2013.01); A61B 5/165 (2013.01); G06Q 10/0631 (2013.01); G06Q 10/105 (2013.01); G06Q 10/1093 (2013.01); G06V 40/166 (2022.01); G06V 40/172 (2022.01); G07C 9/00904 (2013.01); G07C 9/257 (2020.01); G07C 9/30 (2020.01); G07C 9/37 (2020.01); G08B 13/19608 (2013.01); H04L 63/105 (2013.01); H04N 7/181 (2013.01); H04W 4/023 (2013.01); H04W 4/029 (2018.02); A61B 2503/24 (2013.01); G06Q 50/26 (2013.01); G06V 40/16 (2022.01); G06V 40/174 (2022.01);
Abstract

Methods and system for monitoring and assessing employee moods are disclosed. A proposed enterprise employee monitoring system includes surveillance cameras, a facial recognition module, an emotional analyzer module, and an employee database. The surveillance cameras capture image data including employee individuals within the enterprise. The facial recognition module identifies the individuals in the image data, and the emotional analyzer module determines an emotional state of the individuals based upon the image data. The employee database stores employee information and the emotional state information from the emotional analyzer module, based upon the identification performed by the facial recognition module.


Find Patent Forward Citations

Loading…