US 10,891,813 B2
Cognitive vetting system for unsolicited residential visitors
Lee A. Carbonell, Flower Mound, TX (US); Tsz Cheng, Grand Prairie, TX (US); Jeff L. Edgington, Fort Worth, TX (US); and Pandian Mariadoss, Allen, TX (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Apr. 7, 2020, as Appl. No. 16/841,960.
Application 16/841,960 is a continuation of application No. 16/184,292, filed on Nov. 8, 2018, granted, now 10,650,627.
Prior Publication US 2020/0234520 A1, Jul. 23, 2020
Int. Cl. G07C 9/00 (2020.01); G06N 5/04 (2006.01)
CPC G07C 9/00563 (2013.01) [G06N 5/043 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for cognitive vetting, the method comprising:
determining, by one or more processors, that an identified person is not expected; and
generating, by one or more processors, a recommendation as to whether the identified person should be permitted entry based on analyzing a plurality of historical information relevant to at least one past interaction with the identified person, wherein analyzing the plurality of historical information includes generating a numerical score.