Title:
BEAN SORTING METHOD AND ELECTRONIC DEVICE FOR SUPPORTING SAME
Document Type and Number:
WIPO Patent Application WO/2024/019222
Kind Code:
A1
Abstract:
An electronic device according to one embodiment comprises a camera module and at least one processor, wherein the at least one processor can be configured to: acquire a plurality of images of beans through the camera module; calculate, on the basis of the plurality of images, probabilities that the beans belong to each of a plurality of categories; and sort the beans on the basis of the probabilities. The present disclosure relates to a technology developed through an "AI-based coffee bean automatic sorting system" of the Seoul Special City Seoul Business Agency 2021 Artificial Intelligence (AI) Technology Business Support Project (CY210016).
Inventors:
HWANG TAEJIN (KR)
CHAE KYUYEOL (KR)
CHAE KYUYEOL (KR)
Application Number:
PCT/KR2022/013521
Publication Date:
January 25, 2024
Filing Date:
September 08, 2022
Export Citation:
Assignee:
MINDFORGE CO LTD (KR)
International Classes:
A23F5/02; B07C5/342; G06T7/00; H04N9/73
Foreign References:
| JP2021065350A | 2021-04-30 | |||
| JP3858030B2 | 2006-12-13 | |||
| KR102296107B1 | 2021-08-31 | |||
| JP2019524421A | 2019-09-05 |
Other References:
ARBOLEDA EDWIN R.; FAJARDO ARNEL C.; MEDINA RUJI P.: "Classification of coffee bean species using image processing, artificial neural network and K nearest neighbors", 2018 IEEE INTERNATIONAL CONFERENCE ON INNOVATIVE RESEARCH AND DEVELOPMENT (ICIRD), IEEE, 11 May 2018 (2018-05-11), pages 1 - 5, XP033355554, DOI: 10.1109/ICIRD.2018.8376326
Attorney, Agent or Firm:
LEE, Keon-Joo et al. (KR)
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