in:(ZHANG SHUN-BO)
Ceiling fan blade annular joint seat structure
TW108214532U
[ZHANG SHUN-BO, ZHANG FU-KANG]
TW;TW
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Device detection system
TW110206770U
[HUANG XI-XUAN, HUANG ZHE-XUAN, ZHANG SHU-XIU, ZHAN HAO-ZHONG, ZHANG SHUN-BO, ZHOU JIA-ROU]
TW
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Character recognitin system
TW109207051U
[HUANG XI-XUAN, HUANG ZHE-XUAN, ZHAN HAO-ZHONG, ZHANG SHU-XIU, ZHANG SHUN-BO, LIN JUN-YOU]
TW
A character recognition system is provided. The character recognition system includes a database and a processor. The database stores a large amount of data that has completed character classification and marking as the first training data. The processor is connected to the database and includes a first layer training circuit, a correction circuit, and a second layer training circuit. The first layer training circuit is used to make the machine learning model use the first training data for training. The correction circuit is connected to the first layer training circuit, used to manually correct at least one character which is incorrectly recognized by the machine learning model, and generate at least one mark in the test data to indicate what the corresponding at least one character is. The second layer training circuit is connected to the correction circuit, used to make the machine learning model further use the test data with the at least one mark as the second training data for training.
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Image inspection system
TW109207049U
[HUANG XI-XUAN, HUANG ZHE-XUAN, ZHAN HAO-ZHONG, ZHANG SHU-XIU, ZHANG SHUN-BO, LIN JUN-YOU]
TW
An image inspection system is provided. The image inspection system includes a transceiver, a storage and a processor. The transceiver is used to receive a test image. The storage is connected to the transceiver, used to store the test image. The processor is connected to the storage, and the processor includes a setting circuit and an operation circuit. The setting circuit is used to provide an operation interface so that the user can self-define a plurality of areas on the test image. The operation circuit is connected to the setting circuit, used to use different machine learning model for each of the areas to detect.
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Yarn-spreading device and method of using the same to perform yarn-spreading on fiber bundle capable of preventing the fiber bundle from breakage during the yarn-spreading process thereby achieving an excellent yarn-spreading effect
TW106133191A
[ZHANG XIU-CHENG, ZHAO YU-XIANG, GONG XUAN, CHEN ZHENG-LUN, WANG SHUN-BO, LIU CHING-HAN]
TW
A yarn-spreading device comprises a yarn-guiding module and an air-flow yarn-spreading module. The yarn-guiding module has a yarn-guiding roller for conveying the fiber bundle. The air-flow yarn-spreading module is adjacent to the yarn-guiding module, and has a heater, a gas supply source and a gas nozzle. The heater has a heating channel for allowing the fiber bundle to pass through, so that the heater heats up the fiber bundle conveyed from the yarn-guiding roller. The gas nozzle is connected to the gas supply source for jetting gas flow to the heated fiber bundle, so as to expand the fiber bundle into a plurality of fiber filaments. With the aforementioned yarn-spreading device, it is able to overcome the problem that the fiber bundle is easily broken during the yarn-spreading process, thereby achieving an excellent yarn-spreading effect.
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TW106133191A
[ZHANG XIU-CHENG, ZHAO YU-XIANG, GONG XUAN, CHEN ZHENG-LUN, WANG SHUN-BO, LIU CHING HAN]
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Forming equipment with reinforced composite material containing ultra-thin thermoplastic fibers
TW107205479U
[CHEN ZHENG-LUN, ZHANG XIU-CHENG, GONG XUAN, WANG SHUN-BO, LIN MIN-JING]
TW
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