公开(公告)号：US11069341B2

公开(公告)日：2021-07-20

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 ,  G06F16/61 ,  G10L15/07

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：US10440217B2

公开(公告)日：2019-10-08

申请号：US15963540

申请日：2018-04-26

Applicant: QUANTA COMPUTER INC.

Inventor： Kai-Ju Cheng ,  Yu-Cheng Chien ,  Chung Sheng Wu

IPC: H04N13/257 ,  H04N1/193

Abstract: The present disclosure relates to a three dimensional (3D) scanning apparatus. The 3D scanning apparatus includes an image sensor and a processor. The image sensor has a first sensing area and a second sensing area. The first sensing area is configured to capture a first set of images of an object. The second sensing area is configured to capture a second set of images of the object. The processor is configured to establish a first model based on the first set of images and to establish a second model based on the second set of images. The processor is further configured to compare a correspondence between the first model and the second model.

公开(公告)号：US11037317B2

公开(公告)日：2021-06-15

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：US10740916B2

公开(公告)日：2020-08-11

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：US11907340B2

公开(公告)日：2024-02-20

申请号：US17389623

申请日：2021-07-30

Applicant: Quanta Computer Inc.

Inventor： Kai-Ju Cheng ,  Yu-Hsun Chen ,  Yu-Cheng Chien ,  Chin-Yuan Ting ,  Shao-Ang Chen

IPC: G06F18/2431 ,  G06V10/40 ,  G06N3/08 ,  G06F18/213 ,  G06F18/23213

CPC classification number: G06F18/2431 ,  G06F18/213 ,  G06F18/23213 ,  G06N3/08 ,  G06V10/40

Abstract: An image positioning device is provided in the invention. The image positioning device includes a calculation circuit and a positioning circuit. The calculation circuit obtains a plurality of images from an image capturing device and classifies the images into a plurality of main groups based on a first algorithm, wherein each main group corresponds to a different area and the calculation circuit classifies the images of each main group into a plurality of sub-groups based on a feature of each image of each main group and a clustering algorithm. The positioning circuit is coupled to the calculation circuit. The positioning circuit positions each sub-group in the area corresponding to each main group based on the relative position relationship between each sub-group of each main group.

公开(公告)号：US10885914B2

公开(公告)日：2021-01-05

申请号：US16255943

申请日：2019-01-24

Applicant: Quanta Computer Inc.

Inventor： Kuan-Chung Chen ,  Chih-Wei Sung ,  Yu-Cheng Chien ,  Yi-Ling Chen

IPC: G10L15/22 ,  G10L15/30 ,  G10L15/14

Abstract: The speech correction system includes a storage device and a processing device. The storage device stores a first database. The processing device includes an audio receiver, a speech recognition engine, a calculation module, and a determination module. The audio receiver receives multiple voice inputs. The speech recognition engine recognizes the voice inputs, generates multiple candidate vocabularies corresponding to each of the voice inputs, and generates a vocabulary probability corresponding to each of the candidate vocabularies. The calculation module performs a specific operation on the vocabulary probabilities corresponding to the same candidate vocabulary, to generate a plurality of corresponding operation results. The determination module determines whether each of the operation results is greater than a score threshold, and stores at least one output result that is greater than the score threshold to the first database.