- 专利标题: USE OF ARTIFICIAL INTELLIGENCE MODELS TO IDENTIFY FASTENERS AND PERFORM RELATED OPERATIONS
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申请号: US18441840申请日: 2024-02-14
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公开(公告)号: US20240253235A1公开(公告)日: 2024-08-01
- 发明人: Ademola Ayodeji ORIDATE , William WILDER , Spencer VOISS
- 申请人: Wilder Systems Inc.
- 申请人地址: US TX Austin
- 专利权人: Wilder Systems Inc.
- 当前专利权人: Wilder Systems Inc.
- 当前专利权人地址: US TX Austin
- 主分类号: B25J9/16
- IPC分类号: B25J9/16 ; B25J9/00 ; B25J13/00 ; B64F5/40 ; G06F16/22 ; G06F18/23 ; G06T7/70
摘要:
Aspects of the disclosure are directed towards artificial intelligence-based modeling of target objects, such as aircraft parts. In an example, a system initially trains a machine learning (ML) model based on synthetic images generated based on multi-dimensional representation of target objects. The same system or a different system subsequently further trains the ML model based on actual images generated by cameras positioned by robots relative to target objects. The ML model can be used to process an image generated by a camera positioned by a robot relative to a target object based on a multi-dimensional representation of the target object. The output of the ML model can indicate, for a detected target, position data, a target type, and/or a visual inspection property. This output can then be used to update the multi-dimensional representation, which is then used to perform robotics operations on the target object.
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