Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

딥 러닝 기반의 라인 이미지 센서를 이용한 지폐 적합 판단 시스템

Full metadata record
DC Field Value Language
dc.contributor.author박강령-
dc.contributor.author김동섭-
dc.contributor.author팜단투엔-
dc.date.accessioned2025-09-09T08:05:03Z-
dc.date.available2025-09-09T08:05:03Z-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/60229-
dc.title딥 러닝 기반의 라인 이미지 센서를 이용한 지폐 적합 판단 시스템-
dc.title.alternativeDeep Learning-based Banknote Fitness Classification Using the Reflection Images by Visible-Light One-dimensional Line Image Sensor-
dc.typePatent-
dc.publisher.location대한민국-
dc.contributor.assignee동국대학교산학협력단-
dc.date.application2018-02-23-
dc.date.registration2020-03-25-
dc.type.iprs특허-
dc.identifier.patentRegistrationNumber10-2095511-
dc.identifier.patentApplicationNumber10-2018-0022068-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Electronics and Electrical Engineering > 4. Patents

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Park, Gang Ryung photo

Park, Gang Ryung
College of Engineering (Department of Electronics and Electrical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE