METHOD AND APPARATUS FOR DISTRIBUTED EDGE LEARNING
First Claim
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1. An object learning device comprising:
- an electronic processor configured toprovide an identifier, based on a target, to at least one auxiliary object learning device,initiate an edge learning process on the target to create first preprocessed object recognition data,receive second preprocessed object recognition data corresponding to the target from the at least one auxiliary object learning device,create, based on the first and the second preprocessed object recognition data, a classifier of the target, andidentify an object based on the classifier.
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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.
9 Citations
18 Claims
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1. An object learning device comprising:
an electronic processor configured to provide an identifier, based on a target, to at least one auxiliary object learning device, initiate an edge learning process on the target to create first preprocessed object recognition data, receive second preprocessed object recognition data corresponding to the target from the at least one auxiliary object learning device, create, based on the first and the second preprocessed object recognition data, a classifier of the target, and identify an object based on the classifier. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method of object learning on a distributed network, the method comprising:
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providing, via a master node, an identifier, based on target, to at least one auxiliary node; initiating, via an electronic processor of the master node, an edge learning process on the target, creating a first preprocessed object recognition data; receiving, at the master node, a second preprocessed object recognition data from the at least one auxiliary node; creating, via the electronic processor, based on the first and the second object recognition data, a classifier of the target; and identifying an object based on the classifier. - View Dependent Claims (8, 9, 10, 11, 12)
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13. An object learning system comprising:
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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, receive first preprocessed object recognition data corresponding to the target from the auxiliary object learning device, create, based on the first and the second preprocessed object recognition data, a classifier of the target, and identify an object based on the classifier. - View Dependent Claims (14, 15, 16, 17, 18)
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Specification