Invention Grant
- Patent Title: Non-intrusive image identification
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Application No.: US17097993Application Date: 2020-11-13
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Publication No.: US11657607B2Publication Date: 2023-05-23
- Inventor: Shikhar Kwatra , Zachary A. Silverstein , Frank Eduardo Chávez Malpartida , Sarbajit K. Rakshit
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Cuenot Forsythe & Kim, LLC
- Main IPC: G06V20/10
- IPC: G06V20/10 ; G06F16/22 ; G06N20/00 ; H04L43/0811 ; H04L67/52 ; G06F18/21

Abstract:
Non-intrusive image identification includes acquiring an image and connectivity data at a network-connected computing node via a data communications network. The image is captured by an image-capturing device remotely located from the computing node. The connectivity data is associated with one or more devices located within a predetermined vicinity of the image-capturing device. Connectivity data can be correlated with electronically stored networking data associated with the one or more devices to determine an identity of one or more device users. The correlating includes electronically searching one or more network-connected sources of networking data and, based on the connectivity data, matching the one or more devices to the one or more device users. Image-tagging data corresponding to one or more selected individual device users is generated, and the image is tagged with the image-tagging data for identifying one or more individuals appearing in the image.
Public/Granted literature
- US20220156495A1 NON-INTRUSIVE IMAGE IDENTIFICATION Public/Granted day:2022-05-19
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