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Conference Paper Multi-Log Analysis Platform for Supporting Public Safety Service
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Authors
Hyunho Park, Eunjung Kwon, Eui-Suk Jung, Sungwon Byon, Hyun-Woo Lee, Yong-Tae Lee
Issue Date
2017-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2017, pp.1138-1140
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2017.8190878
Project Code
17HR3300, Platform Development of Multi-log based Multi-Modal Data Convergence Analysis and Situational Response, Lee Yong Tae
Abstract
In recent days, demands for public safety services have increased because of increased crimes. This paper proposes multi-log analysis platform (M-LAP) for supporting public safety service. The M-LAP gathers image and sensor data of people, objects, and places, and then analyzes the data for detecting and predicting dangerous situations. The M-LAP also provides protectors (e.g., police officer) and people to be protected with information for responding dangerous situations. The M-LAP will contribute to reducing a crime rates and stabilizing society.
KSP Keywords
Public safety, analysis platform, log analysis, sensor data