US 12,278,940 B2
Automated inspection data collection for machine learning applications
Raf Peeters, San Mateo, CA (US); Antoon De Cleen, Diest (BE); Pieter Ieven, Genk (BE); and Ruben Praets, Leopoldsburg (BE)
Assigned to Qcify Inc., San Mateo, CA (US)
Filed by QCIFY, INC., San Mateo, CA (US)
Filed on Feb. 6, 2023, as Appl. No. 18/106,211.
Application 18/106,211 is a continuation in part of application No. 17/985,747, filed on Nov. 11, 2022.
Application 17/985,747 is a continuation in part of application No. 17/979,618, filed on Nov. 2, 2022.
Application 17/979,618 is a continuation in part of application No. 17/967,621, filed on Oct. 17, 2022.
Application 17/967,621 is a continuation in part of application No. 17/735,263, filed on May 3, 2022, granted, now 11,632,534.
Application 17/735,263 is a continuation of application No. 17/132,500, filed on Dec. 23, 2020, granted, now 11,451,761, issued on Sep. 20, 2022.
Application 17/132,500 is a continuation in part of application No. 16/861,156, filed on Apr. 28, 2020, granted, now 11,202,057, issued on Dec. 14, 2021.
Application 16/861,156 is a continuation in part of application No. 16/257,056, filed on Jan. 24, 2019, granted, now 10,778,961, issued on Sep. 15, 2020.
Application 16/257,056 is a continuation in part of application No. 16/031,956, filed on Jul. 10, 2018, granted, now 10,257,496, issued on Apr. 9, 2019.
Application 16/031,956 is a continuation in part of application No. 15/995,126, filed on Jun. 1, 2018, granted, now 10,298,909, issued on May 21, 2019.
Application 15/995,126 is a continuation of application No. 15/817,240, filed on Nov. 19, 2017, granted, now 10,021,370, issued on Jul. 10, 2018.
Application 15/817,240 is a continuation in part of application No. 15/219,870, filed on Jul. 26, 2016, granted, now 10,021,369, issued on Jul. 10, 2018.
Prior Publication US 2023/0188697 A1, Jun. 15, 2023
Int. Cl. H04N 13/243 (2018.01); G06T 7/00 (2017.01); H04N 23/56 (2023.01); H04N 23/66 (2023.01); H04N 13/254 (2018.01)
CPC H04N 13/243 (2018.05) [G06T 7/0004 (2013.01); G06T 7/0008 (2013.01); H04N 23/56 (2023.01); H04N 23/66 (2023.01); G06T 2207/10021 (2013.01); G06T 2207/30128 (2013.01); H04N 13/254 (2018.05)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
(a) manually collecting measurement data of a sample, wherein the manually collected measurement data includes manually generated quality measurement value;
(b) collecting automated measurement data of a sample, wherein the automated measurement data includes an image of the sample and an automatically generated quality measurement value;
(c) determining a difference between the manually generated quality measurement value and the automatically generated quality measurement value;
(d) determining a confidence value based on the difference between the manually generated quality measurement value and the automatically generated quality measurement value; and
(e) causing the automated measurement data to be stored in a memory device if the confidence value is less than the confidence threshold value, wherein the automated measurement data is flagged for machine learning training.