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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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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：US20220065841A1
公开(公告)日：2022-03-03
申请号：US17445974
申请日：2021-08-26
Applicant: BID GROUP TECHNOLOGIES LTD.
Inventor： Francis Clement , Guy Morissette
Abstract: A method for characterizing undebarked wooden logs and computing optimal debarking parameters in real time is provided. The method comprises a scanning device upstream of a debarker for providing data, usually in the form of images, to a deep learning algorithm model. The model may be trained with human assistance or not to detect and identify, with an acceptable amount of certainty, characteristics of undebarked logs. The characteristics are used in an optimization software and classified in an index table. The index table is used to determine optimized parameters for debarking the log.
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公开(公告)号：US12163947B2
公开(公告)日：2024-12-10
申请号：US17445974
申请日：2021-08-26
Applicant: BID GROUP TECHNOLOGIES LTD.
Inventor： Francis Clement , Guy Morissette
Abstract: A method for characterizing undebarked wooden logs and computing optimal debarking parameters in real time is provided. The method comprises a scanning device upstream of a debarker for providing data, usually in the form of images, to a deep learning algorithm model. The model may be trained with human assistance or not to detect and identify, with an acceptable amount of certainty, characteristics of undebarked logs. The characteristics are used in an optimization software and classified in an index table. The index table is used to determine optimized parameters for debarking the log.
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