公开(公告)号：US20240362936A1

公开(公告)日：2024-10-31

申请号：US18586908

申请日：2024-02-26

Applicant: ASUSTeK COMPUTER INC.

Inventor： Hong-Ru SHEN ,  Shu-Chiao LIAO ,  Yu-Ju CHIEN ,  Hung-Ju LIN ,  Shin-Ning GUO

IPC: G06V20/70 ,  G06T7/11 ,  G06V10/25 ,  G06V10/40 ,  G06V10/774

CPC classification number: G06V20/70 ,  G06T7/11 ,  G06V10/25 ,  G06V10/40 ,  G06V10/774 ,  G06T2207/20132

Abstract: An anomaly labeled-assistant detection system and a method thereof are provided. The anomaly labeled-assistant detection system includes a computing apparatus and a storage apparatus. The computing apparatus includes an anomaly labeled detection model, where the computing apparatus detects a plurality of pieces of labeled image data with a labeled category through the anomaly labeled detection model, the anomaly labeled detection model respectively generates an inference category corresponding to each piece of labeled image data, and the computing apparatus compares the labeled category and the inference category according to each piece of labeled image data, and automatically lists the labeled image data as anomaly labeled data when the labeled category of the labeled image data is different from the inference category. The storage apparatus is electrically connected to the computing apparatus, to store the labeled image data.

公开(公告)号：US20240029401A1

公开(公告)日：2024-01-25

申请号：US18060078

申请日：2022-11-30

Applicant: ASUSTeK COMPUTER INC.

Inventor： Yun-Jhih CHIN ,  Shu-Chiao LIAO ,  Jia-En LEE

IPC: G06V10/764 ,  G06V10/26 ,  G06T7/11

CPC classification number: G06V10/764 ,  G06V10/26 ,  G06T7/11 ,  G06T2207/20132

Abstract: Disclosed are an image detection auxiliary system and an image detection method. An image capture device is used to generate an original image. A computing device receives the original image and preprocesses the original image as an input image. The computing device uses a classification model to obtain a feature parameter corresponding to the input image, and inputs the feature parameter to a probability function to calculate an image focus score. Finally, the computing device performs formal detection or subsequent processing of generating a second warning signal according to the image focus score.

公开(公告)号：US20230350772A1

公开(公告)日：2023-11-02

申请号：US18073300

申请日：2022-12-01

Applicant: ASUSTEK COMPUTER INC.

Inventor： Cheng-Wei GU ,  Shu-Chiao LIAO ,  Ming-Hung CHUNG ,  Yao-Hsun HUANG ,  Yuan-I TSENG ,  Hung-Ju LIN

IPC: G06F11/273 ,  G06F1/3296

CPC classification number: G06F11/2733 ,  G06F1/3296

Abstract: A power supply health check system for checking a health state of an under-test power supply is provided. The under-test power supply supplies power to a main board which has a voltage signal during operation. The health check system includes a detecting module, a deep learning model, and a processing unit. The detecting module is electrically connected to the main board to detect the voltage signal and convert the voltage signal into a digital signal. The deep learning model is established by using frequency-domain voltage data of a plurality of healthy power. The processing unit is configured to: collect the digital signal and store the digital signal as under-test time-domain voltage data; convert the under-test time-domain voltage data into under-test frequency-domain voltage data; and calculate, based on the under-test frequency-domain voltage data and the deep learning model, a health indicator for determining the health state of the under-test power supply.

公开(公告)号：US20230385759A1

公开(公告)日：2023-11-30

申请号：US18173228

申请日：2023-02-23

Applicant: ASUSTeK COMPUTER INC.

Inventor： Shin-Ning GUO ,  Hong-Ru SHEN ,  Fu-Xiong XU ,  Shu-Chiao LIAO

IPC: G06Q10/087

CPC classification number: G06Q10/087

Abstract: Disclosed are an intelligent replenishment monitoring system and method. The intelligent replenishment monitoring system includes at least one image capture device and a computing device. The image capture device captures at least one shelf to generate a shelf image. The computing device is in signal connection to the image capture device to receive the shelf image. The computing device performs first-stage identification on the shelf image according to a commodity region positioning model, to identify a commodity region image from the shelf image. The computing device performs second-stage identification on the commodity region image according to the at least one commodity replenishment model, to obtain commodity information corresponding to the commodity region image, and generates replenishment information according to the commodity information, so that a staff member replenishes the commodities according to the replenishment information.

公开(公告)号：US20210390404A1

公开(公告)日：2021-12-16

申请号：US17337645

申请日：2021-06-03

Applicant: ASUSTeK COMPUTER INC.

Inventor： Yuan-I TSENG ,  Po-Yin LAI ,  Shu-Chiao LIAO

IPC: G06N3/08 ,  G06N3/04

Abstract: The disclosure provides a signal detection method. The signal detection method includes: collecting initial data; pre-processing the initial data to obtain an original signal; reconstructing the original signal by using an optimized deep learning model, to generate a reconstructed signal; and comparing the original signal with the reconstructed signal, to determine whether there is an abnormality in the original signal. The disclosure further provides an electronic device using the signal detection method.