The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 12, 2020
Filed:
Oct. 20, 2017
Center for Integrated Smart Sensors Foundation, Yuseong-gu, Daejeon, KR;
Korea Advanced Institute of Science and Technology (Kaist), Yuseong-gu, Daejeon, KR;
Dong Su Han, Daejeon, KR;
Jin Woo Shin, Daejeon, KR;
Byeok San Lee, Daejeon, KR;
Jin Young Yang, Seoul, KR;
CENTER FOR INTEGRATED SMART SENSORS FOUNDATION, Yuseong-Gu, Daejeon, KR;
KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY (KAIST), Yuseong-Gu, Daejeon, KR;
Abstract
The present disclosure relates to apparatus and method for training a learning system to detect event. The present disclosure provides apparatus and method for training a learning system that includes an event related keyword collecting unit that collects an event related keyword inputted by a user, a related keyword collecting unit that collects at least one related keyword from a word database by transmitting an event related keyword to the word database, an event related image collecting unit that collects at least one event related image that is related to a search formula from an image database by transmitting the search formula to the image database, and a training unit that trains a learning system by communicating with the learning system with a use of an event related image as training data. In consequence, it is capable of setting a specific event to be detected by an apparatus for training a learning system by a user after a system is installed, and it is possible to train a learning system sustainably and sufficiently regarding a specific event and achieve a high accuracy of training the learning system.