Invention Grant
- Patent Title: Object detection on local devices using remotely generated machine learning models
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Application No.: US15854803Application Date: 2017-12-27
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Publication No.: US10657418B2Publication Date: 2020-05-19
- Inventor: Mattias Marder
- 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
- Agent Gregory Kirsch
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06N20/00 ; G06K9/62 ; G06K9/78 ; G06K9/18

Abstract:
Embodiments of the present invention may provide automated techniques for quickly and easily installing a different model for image recognition on each of numerous devices without doing manual configuration of each and every device. For example, in an embodiment, a computer-implemented method for configuring devices may comprise capturing data at a device, transmitting the captured data to a remote system, receiving configuration data for the device, wherein the configuration data has been generated by processing the captured data at the remote system using a plurality of different machine learning techniques and generating the configuration data based on at least one of the plurality of different machine learning techniques, and configuring the device using the received configuration data.
Public/Granted literature
- US20190197355A1 COGNITIVE DATA TRAINING ON LOCAL DEVICES Public/Granted day:2019-06-27
Information query