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：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.