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Kafe 바로가기주관연구기관 | 국립축산과학원 National Institute of Animal Science |
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연구책임자 | 김종복 |
참여연구자 | 곽정훈 , 양가영 , 장동화 |
보고서유형 | 최종보고서 |
발행국가 | 대한민국 |
언어 | 한국어 |
발행년월 | 2021-02 |
과제시작연도 | 2020 |
주관부처 | 농촌진흥청 Rural Development Administration(RDA) |
등록번호 | TRKO202100010125 |
과제고유번호 | 1395063032 |
사업명 | 반려동물산업활성화핵심기반기술개발(R&D) |
DB 구축일자 | 2021-10-09 |
키워드 | 위치기반.지능형.위기관리.원스탑.반려동물.Location-based.Intelligent.Crisis Management.Customizedone-stop.Companion Animal. |
사용자 맟춤형 반려동물 위기관리 통합 플랫폼을 개발하고, 반려견 비문인식 기술, 입양예측 모델 및 이미지 기반 유실견 검색 기술 등 플랫폼과 연계되는 핵심기술을 개발하여 서비스 고도화 함
(출처 : 요약서 3p)
□ Purpose&Contents
Development of a Korean-style "Pet Animal Crisis Management Platform Service" that allows pets and related agencies to respond quickly and conveniently in the event of a pet crisis.
□ Results
1. Development of Pet Animal Crisis Management Platform Service
- APP Sys
□ Purpose&Contents
Development of a Korean-style "Pet Animal Crisis Management Platform Service" that allows pets and related agencies to respond quickly and conveniently in the event of a pet crisis.
□ Results
1. Development of Pet Animal Crisis Management Platform Service
- APP System for Companion Users
- Web System for Animal Hospitals
- Web System for Pet Private Shelters
- Web System for Operations Managers
2. Identification of Pet Dog based on Biometric Recognition
- Development of a device for acquiring images of biometric information using the method of inducing dog interest
- Development of algorithm to acquire biometric information image of dogs using artificial intelligence technology
- Development of individual identification technology based on dog muzzle pattern image
- Development of pet dog registration & identification system based on dog’s muzzle pattern image
3. Establishment of big data system and development of matching, recommendation, prediction algorithm
- Acquisition of APMS and animal hospital data and establishment of big data system
- Development of prediction model for the probability of adoption of abandoned dogs
- Development of image-based search algorithm for missing dogs
□ Expected Contribution
1. Utilization plan
- Build real operating companion big data through active platform utilization, integrate scattered crisis handling platforms based on established big data, communityize pet relationships, simplify and intelligent use, upgrade pet education, strengthen hospital management platforms, refine statistics and AI recommended models, upgrade object recognition algorithms, improve product/service/pathological advertising/system revenue management based on pet risk management projects.
2. Expected effects
- Vitalization of hospital systems, universalization of user systems, activation of the pet market through the advancement of AI algorithms, strengthening the competitiveness of the pet industry, and ultimately contributing to improving the health welfare of the people and pets.
(출처 : SUMMARY 5p)
과제명(ProjectTitle) : | - |
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연구책임자(Manager) : | - |
과제기간(DetailSeriesProject) : | - |
총연구비 (DetailSeriesProject) : | - |
키워드(keyword) : | - |
과제수행기간(LeadAgency) : | - |
연구목표(Goal) : | - |
연구내용(Abstract) : | - |
기대효과(Effect) : | - |
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