US 12,236,402 B2
Video enhanced time tracking system and method
Philip Markowitz, Los Angeles, CA (US)
Filed by Philip Markowitz, Los Angeles, CA (US)
Filed on Jul. 28, 2023, as Appl. No. 18/227,806.
Application 18/227,806 is a continuation of application No. 17/396,071, filed on Aug. 6, 2021, granted, now 11,748,712.
Application 17/396,071 is a continuation in part of application No. 17/418,750, abandoned, previously published as PCT/US2021/038189, filed on Jun. 21, 2021.
Application 17/418,750 is a continuation of application No. 16/932,545, filed on Jul. 17, 2020, granted, now 10,977,619, issued on Apr. 13, 2021.
Prior Publication US 2023/0376909 A1, Nov. 23, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 10/1091 (2023.01); G06V 20/40 (2022.01); G06V 20/52 (2022.01); G06V 40/16 (2022.01); H04N 7/18 (2006.01)
CPC G06Q 10/1091 (2013.01) [G06V 20/40 (2022.01); G06V 20/52 (2022.01); G06V 40/172 (2022.01); H04N 7/183 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A reporting system for measuring work productivity of at least one worker working for a client, the system comprising:
a video capturing apparatus having a camera, a display, and a processor;
the processor configured to store images of various workspaces of the at least one worker and various projects performed by the at least one worker;
the processor configured to cause a first algorithm to identify a particular workspace among the various workspaces;
the processor configured to cause a second algorithm to identify a particular project among the various projects;
the processor configured to track time, and to capture image data from the particular workspace while the particular project is performed;
the processor configured to attribute the captured image data and the tracked time to the particular workspace, the particular project, the at least one worker, and the at least one client;
wherein the processor configured to prepare a report of the particular project, based on the particular workspace, the tracked time, and the captured image data; and
wherein the first algorithm is machine learning algorithm that learns characteristics of the various workspaces to identify the particular workspace among the various workspaces.