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公开(公告)号：US20220084181A1
公开(公告)日：2022-03-17
申请号：US17477025
申请日：2021-09-16
发明人： Philipp ISKEN , Sandra BITTORF , Oliver KROEHL , Claudia BRAMLAGE , Markus VOGEL , Stefan SILBER , Gaetano BLANDA , Olivia LEWIS , Daniel HAAKE
摘要： A method for qualitative and/or quantitative characterization of a coating surface is provided, comprising: providing a program recognizing coating surface defect types; determining, by the program, whether a camera(s) coupled to the program is within a predefined distance range and/or within a predefined image acquisition angle range relative to a currently presented coating surface; depending on the determination: generating a feedback signal indicative of whether adjustment of the position of the camera(s) is within predefined distance range and/or within the predefined image acquisition angle range, and/or automatically adjusting the relative distance of the camera and and/or automatically adjusting the angle of the camera; enabling the camera to acquire an image of the coating surface only when the camera(s) is/are within the predefined distance range and/or image acquisition angle range; processing the digital image for recognizing coating surface defects; and outputting a characterization of the coating surface.
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公开(公告)号：US20220082508A1
公开(公告)日：2022-03-17
申请号：US17476983
申请日：2021-09-16
发明人： Philipp ISKEN , Sandra BITTORF , Oliver KROEHL , Claudia BRAMLAGE , Markus VOGEL , Stefan SILBER , Gaetano BLANDA , Olivia LEWIS , Daniel HAAKE
摘要： The invention relates to a method for providing a coating composition-related prediction program, the method comprising: providing a database (204, 904) comprising associations of qualitative and/or quantitative characterizations of coating surfaces and one or more parameters; training a machine learning model for providing a predictive model (M2, M3) having learned to correlate qualitative and/or quantitative characterizations of one or more coating surfaces with one or more of the parameters; and providing a composition-quality-prediction program configured for using the predictive model (M2) for predicting the properties of a coating surface to be produced from one or more input parameters; and/or providing a composition-specification-prediction program configured for using the predictive model (M3) for predicting, based on an input specifying at least a desired coating surface characterization, one or more output parameters related to a coating composition predicted to generate a coating surface having the input surface characterizations.
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