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公开(公告)号：US11756085B2
公开(公告)日：2023-09-12
申请号：US16728232
申请日：2019-12-27
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Chih-Chia Chang , Yu-Hsin Lin , Hsin-Yi Chen , Sen-Yih Chou , Yu-Ying Lan
IPC: G06Q30/02 , G06Q30/0283 , G06K7/14 , G06V40/10 , G06Q30/0238
CPC classification number: G06Q30/0283 , G06K7/1413 , G06Q30/0238 , G06Q30/0281 , G06V40/10
Abstract: An integrated system of a physical consumption environment and a network consumption environment and a control method thereof are provided. The control method of the integrated system of the physical consumption environment and the network consumption environment includes the following steps. A biological characteristic image of a consumer in the physical consumer environment is obtained. The biological characteristic image is identified to obtain an identity information from an identity database. An activity of the consumer in the physical consumption environment is detected. A product followed by the consumer and/or a physical behavior information are obtained according to the activity of the consumer in the physical consumption environment. A network behavior information of the consumer in the network consumer environment is obtained according to the identity information. A price of the product is dynamically adjusted according to the physical behavior information and the network behavior information.
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公开(公告)号：US10552474B2
公开(公告)日：2020-02-04
申请号：US15851647
申请日：2017-12-21
Applicant: Industrial Technology Research Institute
Inventor： Hsin-Yi Chen , Chia-Liang Yeh , Sen-Yih Chou
Abstract: An image recognition method adapted to recognize a target image is provided. The method includes: providing the target image; training a learning database based on a plurality of feature blocks of the target image; randomly obtaining a plurality of incomplete feature blocks of the target image; adding the plurality of incomplete feature blocks into the learning database to form an enhancement learning database; and recognizing the target image based on the enhancement learning database. In addition, an image recognition device is also provided.
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公开(公告)号：US20230178219A1
公开(公告)日：2023-06-08
申请号：US17563060
申请日：2021-12-28
Applicant: Industrial Technology Research Institute
Inventor： Hsiao-Wei Liu , Tseng-Wei Lai , Sen-Yih Chou
IPC: G16H30/40 , G16H50/20 , G06V10/774 , G06N20/20
CPC classification number: G16H30/40 , G16H50/20 , G06V10/774 , G06N20/20
Abstract: An electronic device and a method for determining medical images are provided. The method includes: obtaining an input image; inputting the input image into a first machine learning model to generate a labeled image, wherein the labeled image includes a plurality of area images; inputting the labeled image into a second machine learning model to generate a plurality of area determination data corresponding to the plurality of area images; and displaying a determination result including the plurality of area determination data.
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4.发明申请TEMPERATURE SENSING APPARATUS, LASER PROCESSING SYSTEM, AND TEMPERATURE MEASURING METHOD 有权温度感测装置，激光加工系统和温度测量方法公开(公告)号：US20160096236A1
公开(公告)日：2016-04-07
申请号：US14504433
申请日：2014-10-02
Applicant: Industrial Technology Research Institute
Inventor： Chia-Hung Cho , Yi-Chen Hsieh , Kai-Ping Chuang , Sen-Yih Chou , Chun-Jen Lin
IPC: B23K26/34 , B23K26/067 , B23K26/30 , G01J5/08 , B23K26/03
CPC classification number: B23K26/342 , B22F3/1055 , B22F2003/1056 , B23K26/032 , B23K26/034 , B23K26/082 , B23K26/707 , B29C64/153 , B29C67/0077 , G01J5/0803 , G01J5/0806 , G01J5/0828 , G01J5/0846 , G01J2005/106 , Y02P10/295
Abstract: A temperature sensing apparatus configured to measure a temperature distribution of a surface to be measured is provided. The temperature sensing apparatus includes a lens set, a filtering module, a plurality of sensor arrays, and a processing unit. The lens set is configured to receive radiation from the surface to be measured. The filtering module is configured to filter the radiation from the lens set into a plurality of radiation portions respectively having different wavelengths. The sensor arrays are configured to respectively sense the radiation portions. The processing unit is configured to calculate an intensity ratio distribution of the radiation between the different wavelengths according to the radiation portions respectively sensed by the sensor arrays and determine the temperature distribution according to the intensity ratio distribution. A laser processing system and a temperature measuring method are also provided.
Abstract translation: 提供了一种被配置为测量待测表面的温度分布的温度感测装置。 温度感测装置包括透镜组，滤光模块，多个传感器阵列和处理单元。 透镜组被配置为从待测量的表面接收辐射。 滤波模块被配置为将来自透镜组的辐射滤波成分别具有不同波长的多个辐射部分。 传感器阵列被配置成分别感测辐射部分。 处理单元被配置为根据由传感器阵列分别感测的辐射部分来计算不同波长之间的辐射的强度比分布，并根据强度比分布确定温度分布。 还提供了激光加工系统和温度测量方法。
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公开(公告)号：US12136485B2
公开(公告)日：2024-11-05
申请号：US17563060
申请日：2021-12-28
Applicant: Industrial Technology Research Institute
Inventor： Hsiao-Wei Liu , Tseng-Wei Lai , Sen-Yih Chou
IPC: G16H30/40 , G06N20/20 , G06V10/774 , G16H50/20
Abstract: An electronic device and a method for determining medical images are provided. The method includes: obtaining an input image; inputting the input image into a first machine learning model to generate a labeled image, wherein the labeled image includes a plurality of area images; inputting the labeled image into a second machine learning model to generate a plurality of area determination data corresponding to the plurality of area images; and displaying a determination result including the plurality of area determination data.
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Patent Agency Ranking
公开(公告)号：US11880747B2
公开(公告)日：2024-01-23
申请号：US16728285
申请日：2019-12-27
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Hsin-Cheng Lin , Sen-Yih Chou
IPC: G06N20/00 , G06V20/20 , G06F18/214 , G06F18/2415 , G06V10/77
CPC classification number: G06N20/00 , G06F18/2148 , G06F18/2415 , G06V10/7715 , G06V20/20
Abstract: An image recognition method, a training system for an object recognition model and a training method for an object recognition model are provided. The image recognition method includes the following steps. At least one original sample image of an object in a field and an object range information and an object type information in the original sample image are obtained. At least one physical parameter is adjusted to generate plural simulated sample images of the object. The object range information and the object type information of the object in each of the simulated sample images are automatically marked. A machine learning procedure is performed to train an object recognition model. An image recognition procedure is performed on an input image.
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公开(公告)号：US11823438B2
公开(公告)日：2023-11-21
申请号：US17184319
申请日：2021-02-24
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Ting-Hsun Cheng , Yu-Ju Chao , Hsin-Cheng Lin , Chih-Chia Chang , Yu-Hsin Lin , Sen-Yih Chou
IPC: G06V10/774 , G06T5/00 , G06T7/11 , G06V20/00
CPC classification number: G06V10/774 , G06T5/002 , G06T7/11 , G06V20/00 , G06T2207/20081
Abstract: A recognition system and an image augmentation and training method thereof are provided. The image augmentation and training method of a recognition system includes the following steps. A plurality of image frames are obtained, wherein each of the image frames includes an object pattern. A plurality of environmental patterns are obtained. The object pattern is separated from each of the image frames. A plurality of image parameters are set. The image frames, based on the object patterns and the environmental patterns, are augmented according to the image parameters to increase the number of the image frames. A recognition model is trained using the image frames.
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公开(公告)号：US11069084B2
公开(公告)日：2021-07-20
申请号：US16231701
申请日：2018-12-24
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Hsin-Yi Chen , Chia-Liang Yeh , Hsin-Cheng Lin , Sen-Yih Chou
Abstract: An object identification method includes: establishing a training data base including a photographing distance of a training image and a training camera parameter; in photographing a target test object, obtaining a test image, a depth image, an RGB image and a test camera parameter; and based on the training database, the depth image and the test camera parameter, adjusting the RGB image wherein the adjusted RGB image having a size equivalent to the training image of the training database.
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公开(公告)号：US10769803B2
公开(公告)日：2020-09-08
申请号：US16231724
申请日：2018-12-24
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor： Yu-Ying Lan , Hsin-Cheng Lin , Sen-Yih Chou
Abstract: A sight vector detecting method includes: capturing a user image by an image capture unit and a depth capture unit to obtain a first image and a distance information; based on the first image and the distance information, finding an eye center location of the user; predicting a user sight location by a gaze model to find a target sight location of the user on a target; based on the eye center location of the user, finding a first word coordinate of the eye center location of the user; based on the target sight location of the user, finding a second word coordinate of the target sight location of the user; and based on the first word coordinate of the eye center location of the user and the second word coordinate of the target sight location of the user, calculating a sight vector of the user.
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公开(公告)号：US20190057112A1
公开(公告)日：2019-02-21
申请号：US15851647
申请日：2017-12-21
Applicant: Industrial Technology Research Institute
Inventor： Hsin-Yi Chen , Chia-Liang Yeh , Sen-Yih Chou
CPC classification number: G06F16/583 , G06K9/03 , G06K9/3233 , G06K9/6256 , G06N3/0454 , G06N3/08 , H04N5/23219
Abstract: An image recognition method adapted to recognize a target image is provided. The method includes: providing the target image; training a learning database based on a plurality of feature blocks of the target image; randomly obtaining a plurality of incomplete feature blocks of the target image; adding the plurality of incomplete feature blocks into the learning database to form an enhancement learning database; and recognizing the target image based on the enhancement learning database. In addition, an image recognition device is also provided.
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