US 11,720,986 B1
System and method of automated real estate analysis
Donald Charles Catalano, Northport, NY (US)
Filed by Donald Charles Catalano, Northport, NY (US)
Filed on Dec. 19, 2022, as Appl. No. 18/68,480.
Application 18/068,480 is a continuation of application No. 17/525,874, filed on Nov. 13, 2021, granted, now 11,532,058.
Application 17/525,874 is a continuation of application No. 17/239,568, filed on Apr. 24, 2021, granted, now 11,182,865, issued on Nov. 23, 2021.
Claims priority of provisional application 63/014,955, filed on Apr. 24, 2020.
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 50/16 (2012.01); G06F 9/54 (2006.01); G06Q 30/0601 (2023.01)
CPC G06Q 50/16 (2013.01) [G06F 9/547 (2013.01); G06Q 30/0643 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
using at least one real-world real estate property (real estate property) and at least one internet connected sensor comprising at least one camera to automatically monitor activities of a plurality of visitors to said at least one real estate property, and automatically report said activities of said plurality of visitors to at least one internet server;
each said visitor being a human real-world visitor with a field of view;
at least some of said visitors carrying user-assigned personal mobile computerized devices (personal mobile computerized devices) that wirelessly transmit unique identification codes that can be traced to specific visitors and specific visitor characteristics;
said at least one real estate property having designated locations of interest;
each said visitor having at least an orientation corresponding to said visitor's field of view;
said at least one internet connected sensor covers at least one said designated location of interest;
using at least one processor, images from said at least one camera, and any of automated vision software and AI image recognition software to automatically determine, as a function of time, distances between said visitors and said designated locations of interest, and/or orientation of said visitors with respect to at least some said designated locations of interest;
automatically receiving said wirelessly transmitted unique identification codes, and determining said specific visitor characteristics for at least some said visitors; and
automatically determining, for at least some said visitor characteristics, if at least some locations of interest correlate with statistically higher or lower distances and/or orientations between at least some said visitor characteristics and at least some said designated locations of interest.