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公开(公告)号:US20240344920A1
公开(公告)日:2024-10-17
申请号:US18685086
申请日:2022-08-22
Applicant: AMGEN INC.
Inventor: Al Patrick Goodwin , Joseph Peter Bermacki , Thomas Clark Pearson , Graham F. Milne , Jonathan Parsons , Corey Bishop , Barry Donohoe , Osvaldo Perez-Varela
CPC classification number: G01M3/38 , G01B11/2522 , G01N21/909 , G01N2201/0612
Abstract: An apparatus, system, or method for vial seal inspection may be based on three-dimensional data that is representative of at least a portion of a vial seal. More particularly, apparatuses, systems, and methods for vial seal inspection may include at least one laser triangulation sensor.
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公开(公告)号:US20240095983A1
公开(公告)日:2024-03-21
申请号:US18039898
申请日:2021-12-01
Applicant: AMGEN INC.
Inventor: Al Patrick Goodwin , Joseph Peter Bernacki , Graham F. Milne , Thomas Clark Pearson , Aman Mahendra Jain , Jordan Ray Fine , Kenneth E. Hampshire , Aik Jun Tan , Osvaldo Perez Varela , Nishant Mukesh Gadhvi
Abstract: Various techniques facilitate the development of an image library that can be used to train and/or validate an automated visual inspection (AVI) model, such an AVI neural network for image classification. In one aspect, an arithmetic transposition algorithm is used to generate synthetic images from original images by transposing features (e.g., defects) onto the original images, with pixel-level realism. In other aspects, digital inpainting techniques are used to generate realistic synthetic images from original images. Deep learning-based inpainting techniques may be used to add, remove, and/or modify defects or other depicted features. In still other aspects, quality control techniques are used to assess the suitability of image libraries for training and/or validation of AVI models, and/or to assess whether individual images are suitable for inclusion in such libraries.
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公开(公告)号:US20220261977A1
公开(公告)日:2022-08-18
申请号:US17670745
申请日:2022-02-14
Applicant: AMGEN INC.
Inventor: Al Patrick Goodwin , Graham F. Milne , Thomas C. Pearson , Jordan Ray Fine
Abstract: An automated inspection system includes a sensor system that includes a sensor and is configured to generate a plurality of syringe scans by scanning each of a plurality of syringes. Each of the plurality of syringe scans is indicative of distance relative to the sensor. The automated inspection system also includes one or more processors configured to, for each of the plurality of syringes, analyze the respective syringe scan to determine (i) a first distance to a first portion (e.g., flange) of the syringe and (ii) a second distance to a second portion (e.g., plunger) of the syringe, and calculate a distance between the first and second portions based on the first distance and the second distance.
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