Title:
SYSTEM AND METHOD FOR ANALYZING ABNORMAL BEHAVIOR PATTERN THROUGH IMAGE RECOGNITION OF AQUARIUM FISH
Document Type and Number:
WIPO Patent Application WO/2020/111593
Kind Code:
A1
Abstract:
Disclosed are a system and method for analyzing an abnormal behavior pattern through image recognition of aquarium fish. The system for analyzing an abnormal behavior pattern through image recognition of aquarium fish according to an embodiment of the present invention comprises: an image data reception unit for receiving a captured image of an aquarium organism existing in a water tank; an aquarium organism data extraction unit for extracting, from the received image, aquarium organism data including fish species, health information, and behavioral information about the aquarium organism; an abnormal behavior analysis unit for analyzing the aquarium organism data for abnormal behavior of the aquarium organism to determine whether the aquarium organism has a disease; and a responsive action control unit for extracting and displaying a responsive action to the disease when an aquarium organism having the disease is found as a result of the determining by the abnormal behavior analysis unit.
Inventors:
LEE SUNGJONG (KR)
KIM MINHWAN (KR)
KIM MINHWAN (KR)
Application Number:
PCT/KR2019/015430
Publication Date:
June 04, 2020
Filing Date:
November 13, 2019
Export Citation:
Assignee:
SOOSANGST CO LTD (KR)
International Classes:
A61B5/00; A61B5/11
Foreign References:
| KR20170105406A | 2017-09-19 | |||
| KR20180057785A | 2018-05-31 | |||
| KR20150031390A | 2015-03-24 | |||
| JP2006262848A | 2006-10-05 | |||
| US20090031966A1 | 2009-02-05 |
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