Brian V Mathews

US Patent:

20210142456, May 13, 2021

Filed:

Nov 12, 2020

Appl. No.:

16/949752

Inventors:

- San Francisco CA, US
Konstantinos Boulis - Redmond WA, US
Oytun Akman - Oakland CA, US
Julio Soldevilla Estrada - Seattle WA, US
Brian Philip Mathews - Burlingame CA, US

Assignee:

Bright Machines, Inc. - San Francisco CA

International Classification:

G06T 7/00
G06T 1/20

Abstract:

A vision analytics and validation (VAV) system for providing an improved inspection of robotic assembly, the VAV system comprising a trained neural network three-way classifier, to classify each component as good, bad, or do not know, and an operator station configured to enable an operator to review an output of the trained neural network, and to determine whether a board including one or more “bad” or a “do not know” classified components passes review and is classified as good, or fails review and is classified as bad. In one embodiment, a retraining trigger to utilize the output of the operator station to train the trained neural network, based on the determination received from the operator station.