Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: 23, Pages: 1-5
Byung Sung Kim1 , Do Yeon Kim2 , Keun Won Kim3 and Seong Taek Park2*
1 Department of BI, ATMAN Partners, Seoul - 135-910, South Korea; [email protected]
2 Department of Management Information Systems, Chungbuk National University, Cheongju, Chungcheongbuk-do - 362763, South Korea; [email protected], [email protected]
3 Department of Management, Sogang University, Seoul - 121742, South Korea; [email protected]
CCTVs are already much ingrained into our lives, and can be commonly seen not only in public spaces but also in private ones. Although CCTVs were developed for military purposes at first, nowadays they are used for the purpose of the safety of society. Furthermore, the public sectors such as fire stations, local governments, and the police also make use of CCTVs, and the range of use includes crime prevention, traffic information collection, traffic enforcement, and so on. In other sectors, the use of CCTV for safety in private spaces like apartments, houses, buildings, stores, and elevators is becoming common. Precedent studies on utilization of CCTV, however, mainly focused on legal aspects and parts about crime prevention. Nonetheless, CCTVs are not only for crime prevention, and they are in use for various fields: traffic management, traffic enforcement, disaster, fire management, facilities management, harbor management, and so on. Accordingly, this research aims to suggest in the explorative way the methods for fire prevention and suppression using big data (CCTV), and based on these, new approaches to securing safety against disaster.
Keywords: Big data, CCTV, Fire Response Time
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