Abstract: A method for detecting a phase separation of a waterborne or solvent-borne or solvent-free coating composition includes providing the coating composition in a receptacle; providing a measurement instrument for receiving the receptacle, the measurement instrument including a measurement probe; controlling the measurement instrument to a) displace the measurement probe through the coating composition along a predefined measurement path with a predefined speed profile, the predefined measurement path extending along a length axis of the receptacle, b) acquire a force-displacement profile by measuring a force exercised on the measurement probe while the probe is being displaced along the predefined measurement path with the predefined speed profile; processing the force-displacement profile for detecting at least one phase separation of the coating composition; and outputting a detection result.

Abstract: Disclosed embodiments may include a system for data monitoring. The system may receive data associated with a user. The system may determine a rating corresponding to the user based on the received data. The system may dynamically generate a score by aggregating the rating and a respective second rating of additional user(s). The system may determine whether the score satisfies a first threshold. Responsive to determining the score satisfies the first threshold, the system may cause a user device to display, via a GUI, the score in a first format. Responsive to determining the score does not satisfy the first threshold, the system may determine whether the score satisfies a second threshold. Responsive to determining the score satisfies the second threshold, the system may generate a first modified GUI comprising the score in a second format, and may cause the user device to display the first modified GUI.

Abstract: 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

Abstract: A method for detecting a phase separation of a waterborne or solvent-borne or solvent-free coating composition includes providing the coating composition in a receptacle; providing a measurement instrument for receiving the receptacle, the measurement instrument including a measurement probe; controlling the measurement instrument to a) displace the measurement probe through the coating composition along a predefined measurement path with a predefined speed profile, the predefined measurement path extending along a length axis of the receptacle, b) acquire a force-displacement profile by measuring a force exercised on the measurement probe while the probe is being displaced along the predefined measurement path with the predefined speed profile; processing the force-displacement profile for detecting at least one phase separation of the coating composition; and outputting a detection result.

Abstract: 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