Method and apparatus for distributed edge learning
AssigneeMotorola Solutions, Inc.
InventorShervin Sabripour
Life of this patent
Estimating the term…
Abstract
An object learning system, method, and device. The object learning device includes an electronic processor configured to provide an identifier based on target to at least one auxiliary object learning device and initiate an edge learning process on the target to create first preprocessed object recognition data. The electronic processor is further configured to receive second preprocessed object recognition data corresponding to the target from the at least one auxiliary object learning device and create, based on the first and the second preprocessed object recognition data, a classifier of the target.
Claims15
An object learning device comprising:
- a camera;
- and
- an electronic processor configured to
- detect a target within a first field of view of the camera;
- provide an identifier, based on the target, to at least one auxiliary object learning device having a second camera and the target within a second field of view of the second camera;
- initiate an edge learning process on the target, via the camera, to create first preprocessed object recognition data;
- and
- cause the first preprocessed object recognition data and a second preprocessed object recognition data created by the at least one auxiliary object learning device to be provided to a remote computing device via one or more intervening networks for creation of a classifier of the target based on the first and the second preprocessed objection recognition data.
A method of object learning on an edge of a distributed network, the method comprising:
- detecting, via a camera of a first object learning device, a target within a first field of view of the camera;
- providing an identifier, based on the target, to at least one auxiliary object learning device;
- initiating, via the electronic processor of the first object learning device, an object learning process on the target, creating a first preprocessed object recognition data;
- and
- causing the first preprocessed object recognition data and the second preprocessed object recognition data created by the at least one auxiliary object learning device to be provided to a remote computing device via one or more intervening networks for creation of a classifier of the target based on the first and the second preprocessed objection recognition data.
An object learning system comprising:
- an auxiliary object learning device including a first electronic processor configured to initiate a first edge learning process on a target to create first preprocessed object recognition data;
- and
- an object learning device including a second electronic processor configured to provide an identifier, based on the target, to the auxiliary object learning device;
- initiate a second edge learning process on the target to create second preprocessed object recognition data;
- and
- cause the first preprocessed object recognition data and the second preprocessed object recognition data to be provided to a remote computing device via one or more intervening networks for creation of a classifier of the target based on the first and the second preprocessed objection recognition data.
Dependencies are inferred from the claim text.