Cognitive data training on local devices
AssigneeInternational Business Machines Corporation
InventorMATTIAS MARDER
Life of this patent
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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.
Claims18
A computer-implemented method for configuring devices comprising:
- 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.
A computer program product for configuring devices, the computer program product comprising a non-transitory computer readable storage having program instructions embodied therewith, the program instructions executable by a computer, to cause the computer to perform a method comprising:
- 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.
A system for detecting objects, the system comprising a camera and a computing device, the computing device comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor to perform:
- capturing data at the 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.
Dependencies are inferred from the claim text.