US 12,084,062 B2
Facial recognition and monitoring device, system, and method
Megan Gray, Memphis, TN (US); and Jacob Sutton, Bowling Green, KY (US)
Assigned to Moment AI, Inc., Arlington, VA (US)
Filed by MOMENT AI, INC., Memphis, TN (US)
Filed on Jun. 28, 2023, as Appl. No. 18/343,040.
Application 18/343,040 is a continuation of application No. 17/621,554, granted, now 11,738,756, previously published as PCT/US2020/040327, filed on Jun. 30, 2020.
Claims priority of provisional application 62/868,953, filed on Jun. 30, 2019.
Prior Publication US 2023/0339475 A1, Oct. 26, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. B60W 40/08 (2012.01); A61B 5/18 (2006.01); B60Q 1/46 (2006.01); B60Q 1/50 (2006.01); B60Q 1/52 (2006.01); B60W 60/00 (2020.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 20/59 (2022.01); G06V 40/16 (2022.01)
CPC B60W 40/08 (2013.01) [A61B 5/18 (2013.01); B60Q 1/46 (2013.01); B60Q 1/52 (2013.01); B60Q 1/544 (2022.05); B60W 60/0016 (2020.02); G06V 10/82 (2022.01); G06V 20/46 (2022.01); G06V 20/597 (2022.01); G06V 40/161 (2022.01); G06V 40/171 (2022.01); B60W 2040/0818 (2013.01); B60W 2420/403 (2013.01); B60W 2540/221 (2020.02); B60W 2540/26 (2013.01); B60W 2556/45 (2020.02)] 16 Claims
OG exemplary drawing
 
1. A method for recognizing and monitoring one or more users for an occurrence of a health event of the one or more users comprising:
a) receiving incoming video data by one or more processors related to the one or more users;
b) preprocessing the video data by the one or more processors;
c) extracting facial data by the one or more processors from the video data to identify the one or more users;
d) determining a presence, a probability, and/or an absence of the health event in the one or more users by the one or more processors by comparing the facial data with one or more stored facial data models accessible by the one or more processors;
e) generating one or more notifications based on recognizing the presence and/or the probability of the health event; and
f) upon recognizing the presence and/or the probability of the health event, transmitting one or more emergency signals from the one or more processors to a vehicle to enable one or more safety protocols of the vehicle;
wherein the vehicle includes two or more sensing devices, wherein the two or more sensing devices includes one or more cameras which receive an incoming video stream which is converted to the incoming video data, and wherein the two or more sensing devices includes one or more motion sensors, heart rate monitors, breathing monitors, or a combination thereof;
wherein the one or more stored facial data models include a plurality of facial data pre-stored within one or more storage mediums and already associated with one or more irregular health conditions; and
wherein the one or more stored facial data models are determined using supervised machine learning in which the plurality of facial data is stored and associated with known irregular health conditions.