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公开(公告)号:US10899138B2
公开(公告)日:2021-01-26
申请号:US16429778
申请日:2019-06-03
Applicant: Applied Vision Corporation
Inventor: Richard A. Sones , Michael Leo Kress , Amir Novini
Abstract: Described herein are various technologies pertaining to an automated light field illumination container inspection and manufacture system. The system includes a plurality of cameras that capture images of a container when the container is illuminated by way of light field illumination. Bands in images that include reflections in the exterior surface of the sidewall are identified, and a determination is made as to whether the container is defective based upon the identified bands.
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公开(公告)号:US20190283445A1
公开(公告)日:2019-09-19
申请号:US16429778
申请日:2019-06-03
Applicant: Applied Vision Corporation
Inventor: Richard A. Sones , Michael Leo Kress , Amir Novini
Abstract: Described herein are various technologies pertaining to an automated light field illumination container inspection and manufacture system. The system includes a plurality of cameras that capture images of a container when the container is illuminated by way of light field illumination. Bands in images that include reflections in the exterior surface of the sidewall are identified, and a determination is made as to whether the container is defective based upon the identified bands.
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公开(公告)号:US20190195619A1
公开(公告)日:2019-06-27
申请号:US15855934
申请日:2017-12-27
Applicant: Applied Vision Corporation
Inventor: Michael Leo Kress , Amir Novini , Richard A. Sones , Kellen Reusser
IPC: G01B11/06
CPC classification number: G01B11/06
Abstract: Described herein are various technologies pertaining to determining whether at least a portion of a sidewall of a glass container has insufficient thickness. A glass container inspection system comprises an infrared camera in communication with a computing system. The infrared camera is configured to capture an infrared image of an exterior of the sidewall of the glass container at long-wavelength infrared as the glass container undergoes a temperature change. The computing system receives the infrared image from the infrared camera and outputs an indication that at least the portion of the sidewall of the glass container has insufficient thickness based on the infrared image. The indication may also be based on a statistical model derived from infrared images of glass containers having sidewalls of known sufficient thickness.
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