Title:
WASTE CLASSIFICATION SYSTEM BASED ON VISION-HYPERSPECTRAL FUSION DATA
Document Type and Number:
WIPO Patent Application WO/2024/010120
Kind Code:
A1
Abstract:
The present invention is a waste classification system based on vision-hyperspectral fusion data, comprising: a first training data generation unit that generates first training data for a target object via a first artificial intelligence model trained by using a hyperspectral image of waste acquired via a hyperspectral sensor; a second training data generation unit that generates second training data for the target object via a second artificial intelligence model trained by using a vision image of waste acquired via a vision camera; and a waste classification unit that performs waste classification for the target object by applying the first training data and the second training data to a third artificial intelligence model.
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Inventors:
PARK TAEHYUNG (KR)
Application Number:
PCT/KR2022/009935
Publication Date:
January 11, 2024
Filing Date:
July 08, 2022
Export Citation:
Assignee:
AETECH CORP (KR)
International Classes:
B07C5/36; B07C5/342; G06N3/04; G06N3/08; G06N20/10; G06N20/20; G06T7/11; G06V10/764; G06V10/82
Foreign References:
| JP2020062633A | 2020-04-23 | |||
| KR20180051239A | 2018-05-16 | |||
| KR20190050145A | 2019-05-10 | |||
| JP2021137738A | 2021-09-16 |
Other References:
HAN-CHEOL SONG: "Development of artificial intelligence combined high-speed automation sorting process for waste plastic recycling", SCIENCEON, 1 October 2019 (2019-10-01), XP093124607, Retrieved from the Internet [retrieved on 20240129]
Attorney, Agent or Firm:
LEE, Sang Yeol (KR)
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