US 11,688,265 B1
System and methods for safety, security, and well-being of individuals
Victor Aquino, Charlottesville, VA (US); Melony Bennis, Woodbridge, VA (US); Tien Comlekoglu, Charlottesville, VA (US); Jefferson Griscavage, Charlottesville, VA (US); and Carl Hildebrandt, Charlottesville, VA (US)
Assigned to Vuetech Health Innovations LLC, Charlottesville, VA (US)
Filed by Vuetech Health Innovations, LLC, Charlottesville, VA (US)
Filed on Mar. 11, 2022, as Appl. No. 17/692,396.
Application 17/692,396 is a continuation of application No. 17/402,583, filed on Aug. 15, 2021, granted, now 11,282,367.
Claims priority of provisional application 63/066,296, filed on Aug. 16, 2020.
This patent is subject to a terminal disclaimer.
Int. Cl. G08B 23/00 (2006.01); G08B 21/04 (2006.01); G06V 40/20 (2022.01); G06V 40/16 (2022.01); G06V 20/40 (2022.01)
CPC G08B 21/0476 (2013.01) [G06V 20/41 (2022.01); G06V 40/166 (2022.01); G06V 40/23 (2022.01); G08B 21/043 (2013.01); G06V 20/44 (2022.01)] 22 Claims
OG exemplary drawing
 
1. A system for automated, private, and, personalized metric analyses of persons, comprising:
a video camera system;
a processor system configured to receive data from the video camera system; and
a non-transitory, computer-readable storage medium having encoded thereon, machine instructions executable by the processor system to process raw image data of video frames captured by the video camera system, wherein the processor system:
for a first video frame, executes video frame operations to produce distilled, contextualized data, comprising:
detects person objects in the first video frame;
detects and identifies non-person objects in the first video frame;
identifies and classifies a person object as a person for metric analysis; and
determines a posture of the person,
repeats the video frame operations for second and subsequent video frames,
identifies changes in posture of the person from the second and subsequent video frames,
using the changes in posture, determines motion of the person,
provides person privacy, comprising automatically and immediately following each video frame operation on a video frame, deletes all raw image data of the video frame, and
based on the posture changes and the motion, generates a private, personalized metric analysis for the person.