公开(公告)号：US20230215149A1

公开(公告)日：2023-07-06

申请号：US18010480

申请日：2020-07-02

Applicant: XII Lab

Inventor： Woo Yung LEE ,  Dae Su CHUNG ,  Se Hun KIM

IPC: G06V10/774 ,  G16H30/40

CPC classification number: G06V10/7753 ,  G16H30/40 ,  G06V2201/031

Abstract: A deep learning system establishes a simple process of generating a deep learning model, and provides an intuitive, natural and easy interaction in performing feedback on image input, manual labelling and automated labelling required for the above-described operations. Therefore, a user without expertise in deep learning can have an opportunity to directly generate and use a user-customized image identification deep learning model for identifying a desired object to be identified.

公开(公告)号：US20230229700A1

公开(公告)日：2023-07-20

申请号：US17923247

申请日：2020-07-02

Applicant: XII Lab

Inventor： Woo Yung LEE ,  Dae Su CHUNG

IPC: G06F16/783 ,  G06F16/732 ,  G06F16/75

CPC classification number: G06F16/7837 ,  G06F16/732 ,  G06F16/75

Abstract: A system for integrated analysis and management of video data includes a routing server configured to receive video data from an external input video providing device, a video database configured to store the received video data, a video analyzing server cluster including a plurality of video analyzing servers configured to analyze the video data, a metadata database configured to store metadata of the video data, and a video search server configured to search the metadata database and the video database. As described in various embodiments of the present disclosure, the system can perform integrated analysis of various video data received from a number of channels and provide an analysis result, and can also rapidly provide an accurate search result in response to a user's request for search.