A Multi-Modal Framework for Future Emergency Systems

被引：2

作者：

Basil, Ahmed Osama ^{[1
]}

Mu, Mu ^{[1
]}

Agyeman, Michael Opoku ^{[1
]}

机构：

[1] Univ Northampton, Fac Arts Sci & Technol, Northampton, England

来源：

2019 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI 2019) | 2019年

基金：

英国科研创新办公室;

关键词：

D O I：

10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00048

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Internet of Things (IoT) envisages a world of connected devices paired with automation systems that aid everyone in their daily activities and communities at large. One of the most prominent use cases of IoT is emergency services. Based on the lessons learned from the tragic Grenfell Tower incident in the UK, we designed an IoT framework that aims at supporting rescue services to quickly locate and identify victims in an event of emergency by using a range of heterogeneous smart systems. Based on the framework design, a prototype is developed using a RFID access control and a drone system. We also incorporate design specifications that minimise the risk of data and privacy breaches.

引用

页码：17 / 20

页数：4

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