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Poster: MR and IoT convergence platform with AI support for disaster recognition
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Publication Year
2019-06-12
Journal
MobiSys 2019 - Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services
Publisher
Association for Computing Machinery, Inc
Citation
MobiSys 2019 - Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, pp.614-615
Keyword
Artifical IntelligenceDisaster CountermeasureDisaster RecognitionInternet of ThingsMixed-Reality
Mesh Keyword
AI systemsArtifical intelligenceDisaster countermeasuresDisaster situationsFast recognitionMicroSoftMR devices
All Science Classification Codes (ASJC)
Computer Science ApplicationsComputer Networks and Communications
Abstract
Because disaster situations can cause damage to people and property, fast recognition and Countermeasure is important. IoT and MR, the technologies that have become popular nowadays, expected to play a key role in this domain. In this paper, we will introduce MR and IoT Convergence Platform with AI Support for Disaster Recognition This platform can recognize a disaster situation with sensors and AI system, and report to the user's MR devices. Also, we build a prototype using OneM2M-based Mobius Platform, Microsoft Hololens, and CNN-based AI Camera for proving feasibility.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36492
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072090429&origin=inward
DOI
https://doi.org/10.1145/3307334.3328652
Journal URL
http://dl.acm.org/citation.cfm?id=3307334
Type
Conference
Funding
This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2018-0-01431) supervised by the IITP(Institute for Information & communications Technology Promotion).
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Roh, Byeong-hee Image
Roh, Byeong-hee노병희
Department of Software and Computer Engineering
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