Victim detection platform in IoT paradigm

Abstract

Summary The advent of Internet of Things (IoT) paradigm is having a great ripple effect in the field of disaster management as well as many other areas. Victim detection has been studied as rescuer‐ or victim‐oriented approach, which utilises the IoT advanced technologies, but they have weaknesses according to disaster types. In this paper, we propose a Victim Detection Platform (VDP) architecture combining both approaches using various advanced technologies such as IoT, drone and edge/cloud computing to offer higher quality services, which ultimately result in swifter, better responses and more lives saved. First, we have reviewed related literature regarding three crucial issues (ie, multi‐modal evaluation for reliable data, edge‐based real‐time response, and privacy‐preserved Big Data analysis) to satisfy the service. In order to achieve these important aspects, the VDP architecture is described along with roles/relations of technologies and concepts leveraged to and data sources considered in the platform. To explore the realisation possibility of the proposed approach in real disasters, a validation scenario considering the critical issues and details in a victim detection task is illustrated, and then appropriate techniques, which will be utilised in the proposed VDP, and its justifications are discussed. Finally, we debate how the techniques are harmonised in the VDP and what the challenges are.

An Optimized Multi-Task Learning Model for Disaster Classification and Victim Detection in Federated Learning Environments

“…Another pool of literature is exploring the potential of IoT technologies in detecting victims. Unmanned aerial vehicle (UAV) has emerged as one of the effective IoT solutions for dealing with a broad affected area [30]. In [18], the authors leveraged a MobileNet-SSD model to detect victims of natural disaster through Raspberry Pi camera installed on a drone.…”

Special issue on toward the Internet of Things of year 2020: Applications and future trends

“…Victim detection has been studied as rescuer‐ or victim‐oriented approach, which utilizes the IoT advanced technologies, but they have weaknesses according to disaster types. In the contribution by Hong and Akerkar 6 “Victim detection platform in IoT paradigm,” authors propose a victim detection platform (VDP) architecture combining both approaches using various advanced technologies such as IoT, drone, and edge/cloud computing to offer higher quality services, which ultimately result in swifter, better responses, and more lives saved. First, the authors have reviewed related literature regarding three crucial issues (ie, multimodal evaluation for reliable data, edge‐based real‐time response, and privacy‐preserved Big Data analysis) to satisfy the service.…”