- Patent Title: Artificial intelligence software for document quality inspection
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Application No.: US17243887Application Date: 2021-04-29
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Publication No.: US11694315B2Publication Date: 2023-07-04
- Inventor: Kilho Shin , Kendrick Esperanza Wong
- Applicant: KYOCERA Document Solutions Inc.
- Applicant Address: JP Osaka
- Assignee: KYOCERA Document Solutions Inc.
- Current Assignee: KYOCERA Document Solutions Inc.
- Current Assignee Address: JP Osaka
- Agency: GrowIP Law Group LLC
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06N3/08

Abstract:
A system employs a trained model to detect artifact(s) associated with artifact type(s) appearing in a reproduction of a source image (a test image). The system determines differences between the test image and the source image and outputs probabilities that the artifact(s) in the test image are associated with each of the artifact type(s). A dataset for training the model includes: (i) a reference category including reference image(s) without any artifacts; and (ii) artifact categories, each corresponding to a respective one of the artifact types and including noised images associated with the respective artifact type. Each noised image includes one of the reference images and an artifact associated with the respective artifact type. The model is trained to detect the artifact type(s) by providing the model with the dataset and causing the model to process differences between each noised image and the reference image in the noised image.
Public/Granted literature
- US20220351356A1 Artificial Intelligence Software for Document Quality Inspection Public/Granted day:2022-11-03
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