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 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.