IP Library Granted Patent US 10,891,813
Granted Patent B2
US 10,891,813 · App. 16/841,960 · Granted Jan 12, 2021

Cognitive vetting system for unsolicited residential visitors

Inventors: Lee A. Carbonell (Flower Mound, TX); Tsz Cheng (Grand Prairie, TX); Jeff L. Edgington (Fort Worth, TX); Pandian Mariadoss (Allen, TX)
Assignee: International Business Machines Corporation
G07C9/00563G06N5/043
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Quick Facts
Patent No.
US 10,891,813
App. No.
16/841,960
Granted
Jan 12, 2021
Kind
B2
Abstract

A method, computer system, and a computer program product for cognitive vetting is provided. The present invention may include determining that an identified person is not expected. The present invention may include retrieving historical information relevant to a past interaction with the identified person. The present invention may then include enabling a present interaction with the identified person. The present invention may lastly include determining a recommendation based on an analysis of the retrieved historical information and the present interaction.

Claims (39)

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.

2. The method of claim 1 , wherein determining that the identified person is not expected further comprises:

utilizing, by one or more processors, a visual recognition technique to verify an identity of the identified person.

3. The method of claim 1 , wherein the plurality of historical information relevant to the at least one past interaction with the identified person is selected from the group consisting of a recorded video clip, a recorded audio clip, and an insight.

4. The method of claim 1 , further comprising:

enabling, by one or more processors, a present interaction with the identified person by utilizing a chatbot to engage in conversation.

5. The method of claim 1 , wherein generating the recommendation based on analyzing the plurality of historical information relevant to the at least one past interaction with the identified person further comprises:

analyzing, by one or more processors, a historical interaction, wherein the historical interaction is selected from the group consisting of a tone of voice, a personality, and a video.

6. The method of claim 1 , wherein the numerical score is a value between 1 and 10 corresponding to an average of at least one considered factor based on the plurality of historical information.

7. The method of claim 1 , further comprising:

generating, by one or more processors, an alert.

8. A computer system for cognitive vetting, comprising:

one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:

determining that an identified person is not expected; and

generating 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.

9. The computer system of claim 8 , wherein determining that the identified person is not expected further comprises:

utilizing a visual recognition technique to verify an identity of the identified person.

10. The computer system of claim 8 , wherein the plurality of historical information relevant to the at least one past interaction with the identified person is selected from the group consisting of a recorded video clip, a recorded audio clip, and an insight.

11. The computer system of claim 8 , further comprising:

enabling a present interaction with the identified person by utilizing a chatbot to engage in conversation.

12. The computer system of claim 8 , wherein generating the recommendation based on analyzing the plurality of historical information relevant to the at least one past interaction with the identified person further comprises:

analyzing a historical interaction, wherein the historical interaction is selected from the group consisting of a tone of voice, a personality, and a video.

13. The computer system of claim 8 , wherein the numerical score is a value between 1 and 10 corresponding to an average of at least one considered factor based on the plurality of historical information.

14. The computer system of claim 8 , further comprising:

generating an alert.

15. A computer program product for cognitive vetting, comprising:

one or more computer-readable storage media and program instructions stored on at least one of the one or more tangible storage media, the program instructions executable by a processor to cause the processor to perform a method comprising:

determining that an identified person is not expected; and

generating 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.

16. The computer program product of claim 15 , wherein determining that the identified person is not expected further comprises:

utilizing a visual recognition technique to verify an identity of the identified person.

17. The computer program product of claim 15 , wherein the plurality of historical information relevant to the at least one past interaction with the identified person is selected from the group consisting of a recorded video clip, a recorded audio clip, and an insight.

18. The computer program product of claim 15 , further comprising:

enabling a present interaction with the identified person by utilizing a chatbot to engage in conversation.

19. The computer program product of claim 15 , wherein generating the recommendation based on analyzing the plurality of historical information relevant to the at least one past interaction with the identified person further comprises:

analyzing a historical interaction, wherein the historical interaction is selected from the group consisting of a tone of voice, a personality, and a video.

20. The computer program product of claim 15 , wherein the numerical score is a value between 1 and 10 corresponding to an average of at least one considered factor based on the plurality of historical information.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 7, 2020
From: CARBONELL, LEE A.; CHENG, TSZ; EDGINGTON, JEFF L.; MARIADOSS, PANDIAN
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 052330/0823 →
Continuity (2)
Continuation 16184292 · Nov 8, 2018
Related Publication 20200234520A1 · Jul 23, 2020