Abstract: Computer vision systems and methods for information extraction from inspection tag images are provided. The system receives an image of an inspection tag, detects one or more tags in the image, crops and aligns the image to focus on the detected one or more tags, and processes the cropped and aligned image to automatically extract information from the depicted inspection tag. Each tag identified by the system can be bounded by a tag-box that bounds the detected tag, and a tag quality score can be calculated for each tag-box. One or more visual features can be extracted after cropping of the image, and pixel-level prediction can be performed on the image to predict and/or correct an orientation of the image. Word-level and line-level optical character recognition (OCR) is then performed on the cropped and aligned image of the tag in order to extract a plurality of information from the tag.

Abstract: A foundry media pellet includes a sintered ceramic material having a size from about 10 AFS GFN to about 110 AFS GFN, and a surface roughness of less than about 4 microns.

Abstract: A foundry media pellet includes a sintered ceramic material having a size from about 10 AFS GFN to about 110 AFS GFN, and a surface roughness of less than about 4 microns.

Abstract: A foundry media pellet includes a sintered ceramic material having a size from about 10 AFS GFN to about 110 AFS GFN, and a surface roughness of less than about 4 microns.