Invention Grant
- Patent Title: Systems and methods for detecting and classifying anomalies in a network of moving things
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Application No.: US15174759Application Date: 2016-06-06
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Publication No.: US10313212B2Publication Date: 2019-06-04
- Inventor: Eduardo Mota , Rui Costa , Diogo Carreira
- Applicant: Veniam, Inc.
- Applicant Address: US CA Mountain View
- Assignee: Veniam, Inc.
- Current Assignee: Veniam, Inc.
- Current Assignee Address: US CA Mountain View
- Agency: McAndrews, Held & Malloy, Ltd.
- Main IPC: H04L12/00
- IPC: H04L12/00 ; G06F13/00 ; H04L12/26 ; H04L29/08 ; H04L12/24

Abstract:
Systems and methods for detecting and classifying anomalies in a network of moving things. As non-limiting examples, various aspects of this disclosure provide configurable and adaptable systems and methods, for example in a network of moving things, for detecting various operational anomalies, classifying such anomalies, and/or reporting such anomalies.
Public/Granted literature
- US20170085449A1 SYSTEMS AND METHODS FOR DETECTING AND CLASSIFYING ANOMALIES IN A NETWORK OF MOVING THINGS Public/Granted day:2017-03-23
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