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公开(公告)号:US20210279850A1
公开(公告)日:2021-09-09
申请号:US17196730
申请日:2021-03-09
Applicant: Bid Group Technologies Ltd.
Inventor: Gabriel Beaudet , Francis Clement , Alexandre Prevost , Guy Morissette
Abstract: A system and method for detecting the origin of wooden planks in a sawmill is provided. The method scans surfaces of processed planks and, with the help of an AI algorithm comprising a deep-learning algorithm, determines the origin of said planks based on analysed parameters of the planks. The parameters used in the analysis are mainly properties of tool marks and the resulting analysis provides tools and equipment used. The deep learning algorithm may be in a self-learning mode or in a supervised training mode.
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公开(公告)号:US11861877B2
公开(公告)日:2024-01-02
申请号:US17196730
申请日:2021-03-09
Applicant: Bid Group Technologies Ltd.
Inventor: Gabriel Beaudet , Francis Clement , Alexandre Prevost , Guy Morissette
CPC classification number: G06V10/44 , G06T7/001 , G06T7/11 , G06T7/40 , G06T7/73 , G06V10/764 , G06T2207/20076 , G06T2207/20081 , G06T2207/30161
Abstract: A system and method for detecting the origin of wooden planks in a sawmill is provided. The method scans surfaces of processed planks and, with the help of an AI algorithm comprising a deep-learning algorithm, determines the origin of said planks based on analysed parameters of the planks. The parameters used in the analysis are mainly properties of tool marks and the resulting analysis provides tools and equipment used. The deep learning algorithm may be in a self-learning mode or in a supervised training mode.
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