公开(公告)号：US20240054774A1

公开(公告)日：2024-02-15

申请号：US18058248

申请日：2022-11-22

申请人： WAVE3D CO., LTD.

发明人： Kyung-Sik Seo

IPC分类号： G06V10/82 ,  G06V40/12 ,  G06V10/774 ,  G06Q10/10

CPC分类号： G06V10/82 ,  G06V40/1359 ,  G06V10/774 ,  G06Q10/1053

摘要： A method of providing user propensity analysis service using artificial intelligence-based fingerprints includes: generating a learning model for determining fingerprint types, configured to collect data samples including fingerprints through an execution of a program in a computing device, and determine at least 12 types of fingerprints through image analysis and artificial intelligence learning on the collected data samples; collecting data adapted to determine propensities of the fingerprints, then establishing determination data for determining the propensities for each of at least 12 or more types of fingerprints based on the determined propensities; when a fingerprint image of the user is input, applying the input fingerprint image to the learning model for determining the fingerprint type to determine the fingerprint type of the user; and generating user propensity information using the determined data for the fingerprint type and providing the user propensity information to the user.

公开(公告)号：USD884553S1

公开(公告)日：2020-05-19

申请号：US29670941

申请日：2018-11-20

申请人： WAVE3D Co., Ltd

设计人： Kyung Sik Seo

公开(公告)号：US20190287419A1

公开(公告)日：2019-09-19

申请号：US16195760

申请日：2018-11-19

申请人： WAVE3D CO.,LTD.

发明人： Kyung Sik SEO

IPC分类号： G09B19/00

摘要： The present invention relates to a coding education system, and more particularly, to a coding education system using a drone which enables to more effectively operate a programming education for controlling a drone. An exemplary embodiment of the present invention provides a coding education system using a drone comprising: a content database for storing coding education contents for a drone; a learning management database for storing information about a coding educatee and a coding educator, information about a registered user registered in association with the coding educatee, information about learning progress for coding educatee, and information about learning result for the coding educatee; a coding education server for managing a corresponding event as an event of the learning progress and the learning result occurs and providing a authoring tool for coding education to use the coding education contents stored in the content database; a user terminal for the registered user; a first educational terminal for the coding educatee; a second educational terminal for the coding educator; and an education site management device installed at a site where the coding education is performed to monitor the site.

公开(公告)号：US20190235067A1

公开(公告)日：2019-08-01

申请号：US16195759

申请日：2018-11-19

申请人： WAVE3D CO.,LTD.

发明人： Kyung Sik SEO

IPC分类号： G01S13/536 ,  G01S13/56 ,  G01S7/35

CPC分类号： G01S13/536 ,  G01S7/352 ,  G01S13/56 ,  G01S2007/356

摘要： The present invention relates to a moving object detection technique, and more particularly, to a real-time moving object detection method using a continuous wave radar that detects a moving object in real time using a Robust Principal Component Analysis through Gradient descent. An exemplary embodiment of the present invention provides a moving object detection method in real-time using FMCW radar comprising: collecting input data by extracting Fast Fourier Transform (FFT) information from a reflection signal received in a continuous wave radar in a detection region; preprocessing to perform compensation and correction on the collected input data; modeling a lower noise background using a Robust Principal Component Analysis through Gradient descents to separate a foreground moving objects corresponding to a noise background and a moving object from the preprocessed data; and detecting a position of a noise-free foreground moving objects by performing an Automatic Multiscale-Based Peak Detection (AMPD) after applying the Robust Principal Component Analysis (RPCA).