Title:
ARTIFICIAL INTELLIGENCE-BASED MODULE IDENTIFICATION AND ASSISTANT SYSTEM
Document Type and Number:
WIPO Patent Application WO/2020/101196
Kind Code:
A1
Abstract:
Provided is an artificial intelligence-based module identification and assistant system. The artificial intelligence-based module identification and assistant system comprises: a module learning device which generates a deep learning-based module learning model on the basis of a module image provided from a camera, learns the module learning model, and generates module data; a server unit which stores the module learning model and the module data in a database; a host device which identifies a proposed module by using the camera, receives the module data corresponding to the identified module from the server unit to display the received module data to a user, and displays, to the user, whether there is an error in a product configuration using the module; and an IoT edge device which controls the module used for the product configuration, and monitors the connection relationship of the module, wherein the host device recognizes the module connected to the IoT edge device and displays, in real time to the user, status information on the module running on the IoT edge device.
Inventors:
PARK CHAN MIN (KR)
KOO CHUN LEE (KR)
KOO CHUN LEE (KR)
Application Number:
PCT/KR2019/013792
Publication Date:
May 22, 2020
Filing Date:
October 20, 2019
Export Citation:
Assignee:
ICORE E&C CO LTD (KR)
International Classes:
G06F11/30; G06K9/20; G06N3/08; H04L29/08
Foreign References:
| KR20150103884A | 2015-09-14 | |||
| KR20180032514A | 2018-03-30 | |||
| KR20120015149A | 2012-02-21 | |||
| JP2017026755A | 2017-02-02 | |||
| US9990587B2 | 2018-06-05 | |||
| KR101686070B1 | 2016-12-13 |
Attorney, Agent or Firm:
KIM, Seong Gyu (KR)
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