Object learning and identification using neural networks

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United States of America Patent

PATENT NO 11854226
SERIAL NO

17326156

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Abstract

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An object identification method is disclosed. The method includes training a first neural network for a first set of conditions regarding a first plurality of objects, training a second neural network for a second set of conditions regarding a second plurality of objects, receiving a plurality of target images associated with a target set of conditions in which to identify objects, analyzing the plurality of target images using the first and second neural networks to identify objects in the plurality of target images resulting in object identification information, and selecting the first neural network or the second neural network as a preferred neural network for the target set of conditions based on an analysis of the object identification information.

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Patent Owner(s)

  • TERRACLEAR INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Butterfield, Isabelle Bellevue, US 10 37
Dimmit, William David Seattle, US 9 36
du, Preez Jacobus Snoqualmie, US 14 86
Frei, Brent Ronald Bellevue, US 10 37
Holmgren, Clifford Spanaway, US 10 37
Kollmorgen, Thayne Eugene, US 9 36
McMaster, Dwight Galen Burien, US 9 36
Nayak, Vivek Ullal Seattle, US 10 37
Racine, Michael Bellevue, US 15 55
Rhys-Jones, Dafydd Daniel Tacoma, US 9 36

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