Abstract: A method includes identifying one or more images of an edge of a susceptor pocket formed in an upper surface of a susceptor of a substrate processing system. An angle identification component is disposed in the susceptor pocket. The method further includes causing, based on the one or more images, performance of an action associated with the susceptor.

Abstract: A method includes determining, by a processing device based on an image of a substrate processing equipment part that forms holes, a clockwise holes spiral and an anti-clockwise holes spiral of the holes. The method further includes identifying, by the processing device, a first subset of the holes in at least one of the clockwise holes spiral or the anti-clockwise holes spiral that are at least partially clogged. A corrective action associated with the substrate processing equipment part is to be performed based on the first subset of the holes that are at least partially clogged.

Abstract: The present disclosure includes edge defect detection via image analytics. A method includes identifying an image of an edge of a susceptor pocket formed by a susceptor of a substrate processing system. The method further includes predicting, based on the image, whether property values of the edge of the susceptor meet threshold values. The method further includes, responsive to the property values of the edge meeting threshold values, causing performance of a corrective action associated with the susceptor.

Abstract: A method includes identifying an image of a substrate processing equipment part that forms a plurality of holes. The method further includes determining, by a processing device based on the image, a corresponding neighboring angular distance of each of the plurality of holes and a corresponding area of each of the plurality of holes. The method further includes identifying, by the processing device, a first subset of the plurality of holes that are at least partially clogged based on at least one of the corresponding neighboring angular distance or the corresponding area of each of the plurality of holes. A corrective action associated with the substrate processing equipment part is to be performed based on the first subset of the plurality of holes that are at least partially clogged.

Abstract: The present disclosure includes edge defect detection via image analytics. A method includes identifying an image of an edge of a susceptor pocket formed by a susceptor of a substrate processing system. The method further includes predicting, based on the image, whether property values of the edge of the susceptor meet threshold values. The method further includes, responsive to the property values of the edge meeting threshold values, causing performance of a corrective action associated with the susceptor.

Abstract: A method includes identifying an image of a substrate processing equipment part that forms a plurality of holes. The method further includes determining, by a processing device based on the image, a corresponding neighboring angular distance of each of the plurality of holes and a corresponding area of each of the plurality of holes. The method further includes identifying, by the processing device, a first subset of the plurality of holes that are at least partially clogged based on at least one of the corresponding neighboring angular distance or the corresponding area of each of the plurality of holes. A corrective action associated with the substrate processing equipment part is to be performed based on the first subset of the plurality of holes that are at least partially clogged.