| CPC G06T 7/0004 (2013.01) [G01B 1/00 (2013.01); G01B 11/00 (2013.01); G01N 21/211 (2013.01); G01N 21/4738 (2013.01); G06F 30/367 (2020.01); G06N 20/00 (2019.01); G01B 2210/56 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10152 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30148 (2013.01)] | 20 Claims |

|
1. A method, comprising:
receiving first image data relating to at least one first wafer lot from an imager system;
receiving measured metrology data relating to the at least one first wafer lot from metrology equipment;
applying one or more machine learning techniques to the first image data and the measured metrology data to generate at least one predictive model for predicting at least one of virtual metrology data or virtual cell metrics data of wafer lots; and
utilizing the at least one generated predictive model to generate at least one of first virtual metrology data or first virtual cell metrics data for the at least one first wafer lot,
wherein the first image data comprises color data corresponding to features of each wafer of the at least one first wafer lot represented in the first image data.
|