US 12,444,196 B2
Predictive system for elopement detection
Walter Eadelman, Belmont, MI (US); Adam Jamison Whitmore, Caledonia, MI (US); James Zampa, Grand Rapids, MI (US); Daniel William Michaels, Belmont, MI (US); and Scott Priolo, Belmont, MI (US)
Assigned to AVASURE, LLC, Belmont, MI (US)
Filed by AvaSure, LLC, Belmont, MI (US)
Filed on Nov. 1, 2022, as Appl. No. 17/978,527.
Claims priority of provisional application 63/277,241, filed on Nov. 9, 2021.
Prior Publication US 2023/0141862 A1, May 11, 2023
Int. Cl. G06V 20/52 (2022.01); G06V 20/40 (2022.01); G06V 40/16 (2022.01); H04N 7/18 (2006.01); H04N 23/695 (2023.01)
CPC G06V 20/52 (2022.01) [G06V 20/44 (2022.01); G06V 40/168 (2022.01); G06V 40/172 (2022.01); H04N 7/183 (2013.01); H04N 23/695 (2023.01)] 20 Claims
OG exemplary drawing
 
1. A patient monitoring system comprising:
a camera that selectively delivers a video feed to a monitoring station;
a processor that evaluates the video feed, wherein the processor converts the video feed into a plurality of data points for an elopement detection system, and wherein the plurality of data points for the elopement detection system correspond at least to a combination of facial features and components of clothing for each person within the video feed, wherein the processor is further configured to;
associate the combination of facial features and the components of clothing for each person to define a confirmed association;
identify, for each confirmed association, whether the person is a patient or a non-patient;
verify the confirmed association of the patient by comparing updated data points from the video feed with the confirmed association; and
activate an alert when the confirmed association of the patient is unverified based upon a comparison with the updated data points.