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：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.