Abstract: A layer thickness measurement system includes a support to hold a substrate, an optical sensor to capture a color image of at least a portion of the substrate, and a controller. The controller is configured to receive the color image from the optical sensor, perform a color correction on the color image to generate an adjusted color image having increased color contrast, determine a coordinate of the pixel in a coordinate space of at least two dimensions including a first color channel and a second color channel from color data in the adjusted color image for each of the adjusted color image, and calculate a value representative of a thickness based on the coordinate of the pixel of the adjusted color image in the coordinate space.

Abstract: Exemplary semiconductor processing systems may include a substrate support defining an aperture therethrough. The processing systems may include a light assembly having a light source that emits an optical signal that is directed toward the aperture. The optical signal may have a high angle of incidence relative to the substrate support. The processing systems may include a photodetector aligned with an angle of reflectance of the optical signal.

Abstract: Exemplary semiconductor processing systems may include a substrate support defining an aperture therethrough. The processing systems may include a light assembly having a light source that emits an optical signal that is directed toward the aperture. The optical signal may have a high angle of incidence relative to the substrate support. The processing systems may include a photodetector aligned with an angle of reflectance of the optical signal. A controller for the processing system may be programmed to receive an amount of the optical signal received by the photodetector and determine a thickness of the outermost layer of film. The controller may include a model trained to classify based on the optical signal. The output of the model may be used to control a process performed on the substrate.

Abstract: A method of classification of a film non-uniformity on a substrate includes obtaining a color image of a substrate with the color image comprising a plurality of color channels, obtaining a standard color for the color image of the substrate, for each respective pixel along a path in the color image determining a difference vector between the a color of the respective pixel and the standard color to generate a sequence of difference vectors, sorting the pixels along the path into a plurality of regions including at least one normal region and at least one abnormal region based on the sequence of difference vectors, and classifying the at least one abnormal region as overpolished or underpolished based on at least one difference vector of a pixel at a boundary between the abnormal region and an adjacent normal region.

Abstract: A method of classification of a film non-uniformity on a substrate includes obtaining a color image of a substrate with the color image comprising a plurality of color channels, obtaining a standard color for the color image of the substrate, for each respective pixel along a path in the color image determining a difference vector between the a color of the respective pixel and the standard color to generate a sequence of difference vectors, and sorting the pixels along the path into a plurality of regions including at least one normal region and at least one abnormal region based on the sequence of difference vectors, including comparing a multiplicity of the difference vectors in the sequence to a threshold.

Abstract: A method of determining whether a substrate is properly polished includes obtaining an image of the substrate, obtaining intensity values of a luminance plane for the image, generating an intensity histogram from the intensity values of the luminance plane, and analyzing the intensity histogram to determine whether the intensity histogram meets one or more criteria.

Abstract: A layer thickness measurement system includes a support to hold a substrate, an optical sensor to capture a color image of at least a portion of the substrate, and a controller. The controller is configured to receive the color image from the optical sensor, perform a color correction on the color image to generate an adjusted color image having increased color contrast, determine a coordinate of the pixel in a coordinate space of at least two dimensions including a first color channel and a second color channel from color data in the adjusted color image for each of the adjusted color image, and calculate a value representative of a thickness based on the coordinate of the pixel of the adjusted color image in the coordinate space.

Abstract: A layer thickness measurement system includes a support to hold a substrate, an optical sensor to capture a color image of at least a portion of the substrate, and a controller. The controller is configured to receive the color image from the optical sensor, store a function that provides a value representative of a thickness as a function of position along a predetermined path in a coordinate space of at least two dimensions including a first color channel and a second color channel, for a pixel of the color image determine a coordinate of the pixel in the coordinate space from color data in the color image, determine a position of a point on the predetermined path that is closest to the coordinate, and calculate a value representative of a thickness from the function and the position of the point on the predetermined path.

Abstract: A layer thickness measurement system includes a support to hold a substrate, an optical sensor to capture a color image of at least a portion of the substrate, and a controller. The controller is configured to receive the color image from the optical sensor, store a function that provides a value representative of a thickness as a function of position along a predetermined path in a coordinate space of at least two dimensions including a first color channel and a second color channel, for a pixel of the color image determine a coordinate of the pixel in the coordinate space from color data in the color image, determine a position of a point on the predetermined path that is closest to the coordinate, and calculate a value representative of a thickness from the function and the position of the point on the predetermined path.

Abstract: A method of determining whether a substrate is properly polished includes obtaining an image of the substrate, obtaining intensity values of a luminance plane for the image, generating an intensity histogram from the intensity values of the luminance plane, and analyzing the intensity histogram to determine whether the intensity histogram meets one or more criteria.