公开(公告)号：US20230301751A1

公开(公告)日：2023-09-28

申请号：US17817409

申请日：2022-08-04

Applicant: Quanta Computer Inc.

Inventor： Kai-Ju CHENG ,  Yu-Hsun CHEN ,  Hao-Ping LEE ,  Tong-Ming HSU ,  Chin-Yuan TING ,  Shao-Ang CHEN ,  Kuan-Chung CHEN ,  Hsin-Lun HSIEH

IPC: A61C7/00 ,  A61C19/04

CPC classification number: A61C7/002 ,  A61C19/04

Abstract: A distinguishing device for dental plaque and dental calculus includes a light-emitting diode, an image sensing unit, and a processor. The light-emitting diode movies in a first direction and is separated from teeth in an oral cavity by a predetermined distance in a second direction. The second direction is perpendicular to the first direction. The light-emitting diode generates a blue light to illuminate the teeth, so that dental plaque on the teeth generates a first autofluorescence and dental calculus on the teeth generates a second autofluorescence. The image sensing unit is configured to sense the first autofluorescence and the second autofluorescence. The processor is coupled to the image sensing unit to distinguish a dental plaque area from a dental calculus area on the teeth according to the first autofluorescence and the second autofluorescence.

公开(公告)号：US20210074011A1

公开(公告)日：2021-03-11

申请号：US16707234

申请日：2019-12-09

Applicant: Quanta Computer Inc.

Inventor： Kai-Ju CHENG ,  Kuan-Chung CHEN ,  Yu-Cheng CHIEN ,  Chung-Sheng WU ,  Hao-Ping LEE ,  Chin-Yuan TING ,  Yu-Hsun CHEN ,  Shao-Ang CHEN ,  Jia-Chyi WANG ,  Chih-Wei SUNG

IPC: G06T7/593 ,  G06T7/00 ,  G06T7/73

Abstract: A tooth-position recognition system includes an electronic device and a calculation device. The electronic device includes a first camera. The first camera is configured to capture a plurality of tooth images. The calculation device includes a second camera and a processor. The second camera is configured to capture a user image. The processor is configured to receive the tooth images, compare the corresponding position of each pixel in each tooth image to generate a depth map, and input the tooth images, the depth map, and a plurality of first tooth-region identifiers into a tooth deep-learning model. The tooth deep-learning model outputs a plurality of deep-learning probability values that are the same in number as the first tooth-region identifiers. The processor inputs the user image and the plurality of second tooth-region identifiers into a user-image deep-learning model.

公开(公告)号：US20200090639A1

公开(公告)日：2020-03-19

申请号：US16242325

申请日：2019-01-08

Applicant: Quanta Computer Inc.

Inventor： Yi-Ling CHEN ,  Chih-Wei SUNG ,  Yu-Cheng CHIEN ,  Kuan-Chung CHEN

IPC: G10L15/06 ,  G10L15/07 ,  G06F16/61

Abstract: The speech correction system includes a storage device, an audio receiver and a processing device. The processing device includes a speech recognition engine and a determination module. The storage device is configured to store a database. The audio receiver is configured to receive an audio signal. The speech recognition engine is configured to identify a key speech pattern in the audio signal and generate a candidate vocabulary list and a transcode corresponding to the key speech pattern; wherein the candidate vocabulary list includes a candidate vocabulary corresponding to the key speech pattern and a vocabulary score corresponding to the candidate vocabulary. The determination module is configured to determine whether the vocabulary score is greater than a score threshold. If the vocabulary score is greater than the score threshold, the determination module stores the candidate vocabulary corresponding to the vocabulary score in the database.

公开(公告)号：US20190355137A1

公开(公告)日：2019-11-21

申请号：US16211354

申请日：2018-12-06

Applicant: Quanta Computer Inc.

Inventor： Kai-Ju CHENG ,  Yu-Cheng CHIEN ,  Yi-Ling CHEN ,  Kuan-Chung CHEN

IPC: G06T7/521

Abstract: A method for improving the efficiency of reconstructing a three-dimensional model is provided. The method includes: dividing a series of different Gray code binary illumination patterns into a plurality of groups; converting binary values of Gray code binary illumination patterns in each group to a plurality of sets of two specific values to generate decimal illumination patterns corresponding to the specific values; overlapping the decimal illumination patterns in each group to a grayscale illumination pattern; using a projector to project each grayscale illumination pattern onto an object from a projection direction; using a camera to capture one or more object images of the object; reverting the object images to non-overlapping Gray code binary images corresponding to the object images; and reconstructing the depth of the object according to the non-overlapping Gray code binary images..

公开(公告)号：US20240355106A1

公开(公告)日：2024-10-24

申请号：US18519676

申请日：2023-11-27

Applicant: Quanta Computer Inc.

Inventor： Chia-Yuan CHANG ,  Kai-Ju CHENG ,  Shao-Ang CHEN ,  Kuan-Chung CHEN

IPC: G06V10/82 ,  G06V20/70

CPC classification number: G06V10/82 ,  G06V20/70

Abstract: A method for training a segmentation model is provided. The method includes using first training images to train a segmentation model. The method includes using second training images to train an image generator. The method includes inputting real images into the segmentation model to generate predicted annotation images. The method includes inputting the predicted annotation images into the image generator to generate fake images. The method includes updating the segmentation model and the image generator according to a loss caused by differences between the real images and the fake images.

公开(公告)号：US20230298316A1

公开(公告)日：2023-09-21

申请号：US17847739

申请日：2022-06-23

Applicant: Quanta Computer Inc.

Inventor： Chia-Yuan CHANG ,  Kai-Ju CHENG ,  Yu-Hsun CHEN ,  Hao-Ping LEE ,  Tong-Ming HSU ,  Chin-Yuan TING ,  Shao-Ang CHEN ,  Kuan-Chung CHEN

IPC: G06V10/764 ,  G06V10/40 ,  G06V10/74 ,  G06V10/762

CPC classification number: G06V10/764 ,  G06V10/40 ,  G06V10/761 ,  G06V10/762

Abstract: An image classifying device is provided in the invention. The image classifying device includes a storage device, a calculation circuit and a classifying circuit. The storage device stores information corresponding to a plurality of image classes. The calculation circuit obtains a target image from an image extracting device and obtains the feature vector of the target image. The calculation circuit obtains a first estimation result corresponding to the target image based on the information corresponding to the plurality of image classes and the feature vector and obtains a second estimation result corresponding to the target image based on a reference image, wherein the reference image corresponds to one of the image classes. The classifying circuit adds the target image into one of the image classes based on the first estimation result and the second estimation result.