公开(公告)号：US12062175B2

公开(公告)日：2024-08-13

申请号：US17585837

申请日：2022-01-27

Applicant: HON HAI PRECISION INDUSTRY CO., LTD.

Inventor： I-Hua Chen ,  Wan-Jhen Lee ,  Tzu-Chen Lin ,  Chin-Pin Kuo

IPC: G06T7/10 ,  G06T11/00

CPC classification number: G06T7/10 ,  G06T11/00 ,  G06T2207/30004

Abstract: A method for processing images, an electronic device, and a storage medium are provided. A head portrait of a subject is obtained from a camera device. A hair region and a scalp region are identified from the head portrait. A proportion of the scalp region is calculated. The proportion of the scalp region is compared with a preset value, and baldness of the subject is determined accordingly. If found to be bald, complementary color processing is performed by processing the scalp region using a hair color of the hair region, and an updated head portrait is obtained after finishing the complementary color processing. The method automatically detects baldness and supplements the hair color in the scalp region.

公开(公告)号：US12125193B2

公开(公告)日：2024-10-22

申请号：US17572859

申请日：2022-01-11

Applicant: HON HAI PRECISION INDUSTRY CO., LTD.

Inventor： I-Hua Chen ,  Tung-Tso Tsai ,  Chin-Pin Kuo ,  Tzu-Chen Lin

IPC: G06T7/00 ,  G06F18/214 ,  G06F18/22 ,  G06V10/40 ,  G06V10/764 ,  G06V10/82

CPC classification number: G06T7/001 ,  G06F18/214 ,  G06F18/22 ,  G06V10/40 ,  G06V10/764 ,  G06V10/82 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30108

Abstract: A method of detecting defects revealed in images of finished products includes importing flawless images into an autoencoder for model training and obtaining reconstructed images from them. The reconstructed images are compared with the flawless images to obtain groups of test errors. An error threshold is selected from the groups of the test errors according to preset rules. In practice, obtaining an image to be tested, and a reconstructed image to be tested, and an error to be tested; determining detection of the image to be tested according to the error and the error threshold; and importing the image into a classifier for defect classification if the image is found to reveal a defect. An electronic device and a non-volatile storage medium for performing the above-described method, are also disclosed.

公开(公告)号：US11354801B2

公开(公告)日：2022-06-07

申请号：US16788577

申请日：2020-02-12

Applicant: HON HAI PRECISION INDUSTRY CO., LTD.

Inventor： Tzu-Chen Lin ,  Chin-Pin Kuo ,  Tung-Tso Tsai ,  Guo-Chin Sun ,  I-Hua Chen ,  Wan-Jhen Lee

IPC: G06K9/00 ,  G06T7/00 ,  G06T7/11 ,  G06T7/223

Abstract: A method for detecting a tumor from images which are required to be shrunken in resolution obtains one or more first images. Then, the method segments or divides the detection images into a number of detection image blocks according to an input size of training data of a convolutional neural network architecture, before segmenting, each of the plurality of detection image blocks comprising coordinate values. The detection image blocks are input into a preset tumor detection model to generate image blocks of a result of the detection images. The method merges the image blocks into a single image according to the coordinate values of each detection image block. Colors of normal areas, abnormal areas, and overlapping areas of the abnormal areas are all different. The method generates a final detection according to color depths in the image. A tumor detection device and a non-transitory storage medium are provided.

公开(公告)号：US10733481B2

公开(公告)日：2020-08-04

申请号：US16260414

申请日：2019-01-29

Applicant: HON HAI PRECISION INDUSTRY CO., LTD.

Inventor： Jung-Yi Lin ,  Chin-Pin Kuo ,  I-Hua Chen

IPC: G06K9/62 ,  G06K9/00 ,  G06N3/04

Abstract: A cloud device, a terminal device, and an image classification system and method includes the terminal reading an image to be classified; transmitting an instruction of image classification to the cloud device; determining whether the instruction of image classification comprises an intermediate operation result of the first partial operation; performing the second partial operation to obtain an image classification result, when the instruction of image classification comprises intermediate operation result of the first partial operation; and transmitting the image classification result to the terminal device; performing the first partial operation to obtain the intermediate operation result, when the intermediate operation result is not contained in the instruction of image classification; transmitting the intermediate operation result to the terminal device; and performing the second partial operation to obtain an image classification result.

公开(公告)号：US09898946B2

公开(公告)日：2018-02-20

申请号：US15069224

申请日：2016-03-14

Applicant: HON HAI PRECISION INDUSTRY CO., LTD.

Inventor： Chin-Pin Kuo ,  Tung-Tso Tsai ,  Tsung-Yuan Tu ,  Yu-Cheng Chen ,  I-Hua Chen ,  Chun-Chang Chang ,  Shuo-Yen Chung ,  Chien-Tsung Lee

IPC: G09G1/14 ,  G09G3/00 ,  G06F3/14 ,  G09G3/34

CPC classification number: G09G3/008 ,  G06F3/14 ,  G09G3/3486 ,  G09G2340/0407

Abstract: A magnetic scanning method includes acquiring an image from a storage device of a magnetic scanning device, controlling a magnetic read-write head of the magnetic scanning device to touch a reference point on a plane, generating an electric signal which reflects relevant information of the acquired image, inputting the electric signal reflecting the relevant information of the acquired image to the magnetic read-write head, when the electric signal reflecting the relevant information of the acquired image flows through the magnetic read-write head, controlling the magnetic read-write head to generate a magnetic field corresponding to the electric signal, controlling the magnetic read-write head to move and scan the plane from the reference point, to magnetize the magnetic powder on the plane by the magnetic field, and driving the magnetic powder to move relatively to generate an image similar to the acquired image.

公开(公告)号：US10714088B2

公开(公告)日：2020-07-14

申请号：US16018174

申请日：2018-06-26

Applicant: HON HAI PRECISION INDUSTRY CO., LTD.

Inventor： Jung-Yi Lin ,  Chin-Pin Kuo ,  I-Hua Chen

IPC: G10L15/24 ,  G10L15/04 ,  G06K9/00

Abstract: A speech recognition device includes a speech acquiring unit, a speech outputting unit, a camera unit, and a processor. The processor obtains speech input acquired by the speech acquiring unit, obtains images acquired by the camera unit, chronologically links the obtained speech and the obtained images together, compares the obtained speech to a speech database to confirm matching speech and a confidence level of the matching speech, determines whether the confidence level of the matching speech exceeds a predetermined confidence level, and outputs the matching speech when the confidence level of the matching speech exceeds the predetermined confidence level.