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公开(公告)号:US11636336B2
公开(公告)日:2023-04-25
申请号:US16729453
申请日:2019-12-29
Applicant: Industrial Technology Research Institute
Inventor: Mao-Yu Huang , Po-Yen Hsieh , Chih-Neng Liu , Tsann-Tay Tang
IPC: G06N3/08 , G01N21/956 , G06T7/00 , G06N3/045
Abstract: A training device and a training method for a neural network model. The training method includes: obtaining a data set; completing, according to the data set, a plurality of artificial intelligence (AI) model trainings to generate a plurality of models corresponding to the plurality of AI model trainings respectively; selecting, according to a first constraint, a first model set from the plurality of models; and selecting, according to a second constraint, the neural network model from the first model set.
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公开(公告)号:US20240212372A1
公开(公告)日:2024-06-27
申请号:US18086976
申请日:2022-12-22
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor: Chih-Neng Liu , Hung-Chun Chou , Tsann-Tay Tang
IPC: G06V20/70 , G06T7/70 , G06V10/75 , G06V10/771
CPC classification number: G06V20/70 , G06T7/70 , G06V10/751 , G06V10/771 , G06V2201/06
Abstract: An automatic objects labeling method includes: capturing M consecutive image frames at one station of an assembly line. Performing an object detection step which includes selecting a detection image frame that displays an operation using a work piece against a target object from the M consecutive image frames; and calibrating the position range of the target object in the detection image frame; retracing from the detection image frame to select an Nth retraced image frame from the M consecutive image frames; obtaining a labeled image of the target object from the Nth retraced image frame according to the position range; comparing the labeled image with images of the M consecutive image frames to find at least one other labeled image similar to the target object; and storing both the labeled image and the at least one other labeled image as the same labeled data set.
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公开(公告)号:US11703457B2
公开(公告)日:2023-07-18
申请号:US17135999
申请日:2020-12-29
Applicant: Industrial Technology Research Institute
Inventor: Yi-Heng Yang , Cheng-Yang Tsai , Li-Hua Wang , Tsann-Tay Tang , Te-Ming Chen
CPC classification number: G01N21/8851 , G01S17/86 , G01S17/89 , G06N20/00 , G06T7/0002 , G06T17/00 , G01N2021/8887 , G06T2207/10028 , G06T2207/20084
Abstract: The disclosure provides a structure diagnosis system and a structure diagnosis method. The structure diagnosis system includes: a lidar scanner scanning a structure to generate a point cloud data; an input interface receiving the point cloud data; and a processor receiving the point cloud data and generating a point cloud data set. The processor executes a surface degradation and geometry abnormal coupling diagnosis module to: marking a first point cloud range of a surface degradation area according to color space value of the point cloud data set; marking a second point cloud range of a geometry abnormal area according to coordinate value of the point cloud data set; when an abnormal area includes the first point cloud range and the second point cloud range at least partially overlapping each other, determining surface degradation or geometry abnormal occurring at the abnormal area and mark the abnormal area with a predetermined mode.
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公开(公告)号:US20210174200A1
公开(公告)日:2021-06-10
申请号:US16729453
申请日:2019-12-29
Applicant: Industrial Technology Research Institute
Inventor: Mao-Yu Huang , Po-Yen Hsieh , Chih-Neng Liu , Tsann-Tay Tang
IPC: G06N3/08 , G06N3/04 , G01N21/956 , G06T7/00
Abstract: A training device and a training method for a neural network model are provided. The training method includes: obtaining a data set; completing, according to the data set, a plurality of artificial intelligence (AI) model trainings to generate a plurality of models corresponding to the plurality of AI model trainings respectively; selecting, according to a first constraint, a first model set from the plurality of models; and selecting, according to a second constraint, the neural network model from the first model set.
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公开(公告)号:US20230118614A1
公开(公告)日:2023-04-20
申请号:US17534340
申请日:2021-11-23
Applicant: Industrial Technology Research Institute
Inventor: Mao-Yu Huang , Sen-Chia Chang , Ming-Yu Shih , Tsann-Tay Tang , Chih-Neng Liu
Abstract: An electronic device and a method for training a neural network model are provided. The method includes: obtaining a first neural network model and a first pseudo-labeled data; inputting the first pseudo-labeled data into the first neural network model to obtain a second pseudo-labeled data; determining whether a second pseudo-label corresponding to the second pseudo-labeled data matching a first pseudo-label corresponding to the first pseudo-labeled data; in response to the second pseudo-label matching the first pseudo-label, adding the second pseudo-labeled data to a pseudo-labeled dataset; and training the first neural network model according to the pseudo-labeled dataset.
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公开(公告)号:US09311366B2
公开(公告)日:2016-04-12
申请号:US13941560
申请日:2013-07-15
Applicant: Industrial Technology Research Institute
Inventor: Tsann-Tay Tang , Yu-Feng Hsu , Ming-Yu Shih
CPC classification number: G06F17/30551 , G06F17/30064 , G06F17/30241 , G06F17/30861 , G06F17/30867
Abstract: An interactive object retrieval method is provided. The present method includes receiving a time-space searching condition and a query, and selecting a plurality of searching results from an object database in accordance with the time-space searching condition, a similarity between the query and each of a plurality of data records of a first category in the object database, and a time information and a location information corresponding to each of a plurality of data records of a second category in the object database. The method further includes receiving at least one user input corresponding to at least one of the searching results, and determining a display manner of the searching results on a user interface in accordance with the at least one user input and the similarity between the query and each searching result.
Abstract translation: 提供了交互式对象检索方法。 本方法包括接收时空搜索条件和查询,并且根据时空搜索条件从对象数据库中选择多个搜索结果,查询与多个数据记录中的每一个之间的相似度 对象数据库中的第一类别,以及与对象数据库中的第二类别的多个数据记录中的每一个对应的时间信息和位置信息。 该方法还包括接收与至少一个搜索结果相对应的至少一个用户输入,以及根据该至少一个用户输入和查询与每个用户界面之间的相似度,确定用户界面上的搜索结果的显示方式 搜索结果。
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公开(公告)号:US20220205926A1
公开(公告)日:2022-06-30
申请号:US17135999
申请日:2020-12-29
Applicant: Industrial Technology Research Institute
Inventor: Yi-Heng Yang , Cheng-Yang Tsai , Li-Hua Wang , Tsann-Tay Tang , Te-Ming Chen
Abstract: The disclosure provides a structure diagnosis system and a structure diagnosis method. The structure diagnosis system includes: a lidar scanner scanning a structure to generate a point cloud data; an input interface receiving the point cloud data; and a processor receiving the point cloud data and generating a point cloud data set. The processor executes a surface degradation and geometry abnormal coupling diagnosis module to: marking a first point cloud range of a surface degradation area according to color space value of the point cloud data set; marking a second point cloud range of a geometry abnormal area according to coordinate value of the point cloud data set; when an abnormal area includes the first point cloud range and the second point cloud range at least partially overlapping each other, determining surface degradation or geometry abnormal occurring at the abnormal area and mark the abnormal area with a predetermined mode.
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公开(公告)号:US20140188847A1
公开(公告)日:2014-07-03
申请号:US13941560
申请日:2013-07-15
Applicant: Industrial Technology Research Institute
Inventor: Tsann-Tay Tang , Yu-Feng Hsu , Ming-Yu Shih
IPC: G06F17/30
CPC classification number: G06F17/30551 , G06F17/30064 , G06F17/30241 , G06F17/30861 , G06F17/30867
Abstract: An interactive object retrieval method is provided. The present method includes receiving a time-space searching condition and a query, and selecting a plurality of searching results from an object database in accordance with the time-space searching condition, a similarity between the query and each of a plurality of data records of a first category in the object database, and a time information and a location information corresponding to each of a plurality of data records of a second category in the object database. The method further includes receiving at least one user input corresponding to at least one of the searching results, and determining a display manner of the searching results on a user interface in accordance with the at least one user input and the similarity between the query and each searching result.
Abstract translation: 提供了交互式对象检索方法。 本方法包括接收时空搜索条件和查询,并且根据时空搜索条件从对象数据库中选择多个搜索结果,查询与多个数据记录中的每一个之间的相似度 对象数据库中的第一类别,以及与对象数据库中的第二类别的多个数据记录中的每一个对应的时间信息和位置信息。 该方法还包括接收与至少一个搜索结果相对应的至少一个用户输入,以及根据该至少一个用户输入和查询与每个用户界面之间的相似度,确定用户界面上的搜索结果的显示方式 搜索结果。
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