Invention Grant
- Patent Title: Machine learning system, method, and computer program for inferring user presence in a residential space
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Application No.: US16925187Application Date: 2020-07-09
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Publication No.: US11605027B2Publication Date: 2023-03-14
- Inventor: Gil Rosen , Vivi Miranda , Gilli Shama , Amir Lapid , Eytan Kabilou , Ilan Levy
- Applicant: Amdocs Development Limited
- Applicant Address: CY Limassol
- Assignee: Amdocs Development Limited
- Current Assignee: Amdocs Development Limited
- Current Assignee Address: CY Limassol
- Agency: Zilka-Kotab, P.C.
- Main IPC: G06N20/00
- IPC: G06N20/00 ; H04L67/50 ; H04L67/54 ; G06Q50/16 ; G05B19/042 ; G06N5/04 ; H04L43/04 ; H04L43/0876

Abstract:
As described herein, a machine learning system, method, and computer program are provided for inferring user presence in a residential space. In use, network usage data is collected from a residential network router operating in a residential space. Additionally, the network usage data is processed by a machine learning algorithm to infer whether a user is present in the residential space. Further, the inference is output for performing one or more related actions.
Public/Granted literature
- US20220012630A1 MACHINE LEARNING SYSTEM, METHOD, AND COMPUTER PROGRAM FOR INFERRING USER PRESENCE IN A RESIDENTIAL SPACE Public/Granted day:2022-01-13
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