US 12,488,307 B2
Control tower and enterprise management platform with robotic process automation systems managing product outcomes and activities
Charles Howard Cella, Pembroke, MA (US); Richard Spitz, Fort Lauderdale, FL (US); and Teymour S. El-Tahry, Birmingham, MI (US)
Assigned to STRONG FORCE VCN PORTFOLIO 2019, LLC, Fort Lauderdale, FL (US)
Filed by STRONG FORCE VCN PORTFOLIO 2019, LLC, Fort Lauderdale, FL (US)
Filed on Aug. 30, 2021, as Appl. No. 17/461,173.
Application 17/461,173 is a continuation of application No. PCT/US2020/059227, filed on Nov. 5, 2020.
Claims priority of provisional application 63/087,292, filed on Oct. 4, 2020.
Claims priority of provisional application 63/069,533, filed on Aug. 24, 2020.
Claims priority of provisional application 63/054,606, filed on Jul. 21, 2020.
Claims priority of provisional application 63/016,976, filed on Apr. 28, 2020.
Claims priority of provisional application 62/969,153, filed on Feb. 3, 2020.
Claims priority of provisional application 62/931,193, filed on Nov. 5, 2019.
Prior Publication US 2022/0035342 A1, Feb. 3, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 10/0637 (2023.01); B25J 9/16 (2006.01); G05B 13/02 (2006.01); G05B 19/4155 (2006.01); G06F 16/23 (2019.01); G06F 16/27 (2019.01); G06F 16/28 (2019.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 30/27 (2020.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); G06Q 10/0631 (2023.01); G06Q 10/0633 (2023.01); G06Q 10/0635 (2023.01); G06Q 10/067 (2023.01); G06Q 10/08 (2023.01); G06Q 10/083 (2024.01); G06Q 10/0833 (2023.01); G06Q 10/0835 (2023.01); G06Q 10/087 (2023.01); G06Q 10/10 (2023.01); G06Q 30/018 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/0202 (2023.01); G06Q 30/0601 (2023.01); G06Q 50/26 (2024.01); H04L 67/1097 (2022.01); H04L 67/12 (2022.01); B64U 101/64 (2023.01); G16Y 10/40 (2020.01); G16Y 10/45 (2020.01); G16Y 10/75 (2020.01); G16Y 40/10 (2020.01); H04W 84/04 (2009.01)
CPC G06Q 10/0833 (2013.01) [B25J 9/163 (2013.01); G05B 13/0265 (2013.01); G05B 19/4155 (2013.01); G06F 16/2315 (2019.01); G06F 16/27 (2019.01); G06F 16/284 (2019.01); G06F 18/214 (2023.01); G06F 18/2178 (2023.01); G06F 30/27 (2020.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06Q 10/06313 (2013.01); G06Q 10/06315 (2013.01); G06Q 10/0633 (2013.01); G06Q 10/0635 (2013.01); G06Q 10/06375 (2013.01); G06Q 10/067 (2013.01); G06Q 10/08 (2013.01); G06Q 10/083 (2013.01); G06Q 10/0835 (2013.01); G06Q 10/0838 (2013.01); G06Q 10/087 (2013.01); G06Q 10/103 (2013.01); G06Q 30/018 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0202 (2013.01); G06Q 30/0206 (2013.01); G06Q 30/0631 (2013.01); G06Q 50/26 (2013.01); H04L 67/1097 (2013.01); H04L 67/12 (2013.01); B64U 2101/64 (2023.01); G05B 2219/40408 (2013.01); G06Q 2220/00 (2013.01); G06Q 2220/10 (2013.01); G16Y 10/40 (2020.01); G16Y 10/45 (2020.01); G16Y 10/75 (2020.01); G16Y 40/10 (2020.01); H04W 84/042 (2013.01)] 31 Claims
OG exemplary drawing
 
27. A method of automating value chain network entity actions, the method comprising:
directing, with a set of network connectivity facilities, a set of value chain network entities to connect to features of a value chain network;
configuring a cloud-based platform with a micro-services architecture to manage or monitor the set of value chain network entities from a point of origin to a point of customer use;
automating, with a robotic process automation layer of a set of adaptive intelligence facilities executing on at least one processor, a set of actions for at least a subset of applications with respect to the set of value chain network entities, the set of actions including at least one of classification of a product defect in an image, inspection of a product in an image, or inspection of product quality data from a set of sensors;
preparing a first set of training data based on information associated with the subset of applications collected by a data collection layer;
training, with the at least one processor, the robotic process automation layer based on the first set of training data to use the information collected by the data collection layer for automating at least one of the set of actions; and
retraining the robotic process automation layer for automating the at least one of the set of actions using a second set of information including a portion of a set of outcomes and activities involving the subset of applications for which the robotic process automation layer automates the set of action.