Assignment: AR- IOT integrated with Cloud Computing for earthquake evacuation and rescue operation


Assignment: AR- IOT integrated with Cloud Computing for earthquake evacuation and rescue operation


Job Project

ROle

I worked on drafting the first article on this along with all the AR research done for this and also contributed significantly on the research and working of the Wireless Sensor Network.

Time

July 2021-June 2021

Category

Human-Computer Interaction (HCI), Augmented Reality (AR), Mixed Reality (MR), Internet of things, Digital electronics, Wireless Communication Network

Team

Azam Anwar, Nikhil Bhatt… +2

Overview

Overview

Overview

The convergence of augmented reality (AR) and the Internet of Things (IoT) represents a groundbreaking advancement in the realm of human-computer interaction. This research endeavor explores and evaluates the integration of AR and IoT-embedded sensors, seamlessly combined with cloud computing, to enhance evacuation and rescue procedures in earthquake-prone areas (EPA). The existing systems deployed within EPA have demonstrated limited efficacy in safeguarding civilian lives. Often, the inadequate dissemination of reliable guidelines during disasters contributes significantly to casualties. This study proposes an interconnected network of sensors strategically positioned within buildings across EPA, tasked with processing and directly disseminating critical information to civilians. Leveraging AR technology, the data and guidelines can be presented with enhanced clarity and precision. Through this approach, civilians can discern the safety status of buildings promptly and accurately, allowing them to make much more informed decision.

Challenges

Challenges

Challenges

Integrating AR with WSN

Exploring cloud computing to make it more efficient

Make physical prototypes without any significant funding

Access to some specific data from earthquake-prone zones

Studying and researching concrete and science involved in it.

Working

Working

Working

The envisioned EMPS model is set to be seamlessly integrated into the structures and edifices overseen by the EPA. During seismic events, an array of sensors will actively gather pertinent data, transmitting it to a central data processing unit. Within this unit, the data will undergo comprehensive analysis and synthesis, culminating in the generation of a dependable output. This resultant output will provide an up-to-the-moment assessment of the structural robustness and overall health of the buildings, effectively categorizing them as either secure or hazardous.

The real-time data streams from multiple EMPS installations will be meticulously collated to formulate a coherent evacuation strategy. The timely updates will be seamlessly disseminated to civilians through their individual AR headsets or mobile devices. Augmented Reality (AR) will materialize as an invaluable tool, affording citizens a tangible visualization of safe havens and vulnerable structures, thus mitigating the potential for pandemonium and stampedes.

Harnessing the potential of cloud technology, this critical information will be relayed to users via AR cloud anchors. These anchors will serve as virtual tethers, enabling the projection of augmented reality data onto the visual interface. Consequently, whenever a user gazes upon a building or street, the AR interface will promptly furnish an overlay depicting the structural stability of the edifice or the percentage of secure structures lining the road.

This innovative integration of real-time data analysis, augmented reality, and cloud-based dissemination heralds a revolutionary paradigm in disaster response and public safety.

View the case study

References:

S. Saha and A. Majumdar, ”Data centre temperature monitoring with ESP8266 based Wireless Sensor Network and cloud based dashboard with real time alert system,” 2017 Devices for Integrated Circuit (DevIC), 2017, pp. 307-310, doi: 10.1109/DEVIC.2017.8073958.

Arroyo P, Herrero JL, Suarez JI, Lozano J. Wireless Sensor Network Combined with

Cloud Computing for Air Quality Monitoring. Sensors (Basel). 2019 Feb 8;19(3):691. doi: 10.3390/s19030691. PMID: 30744013; PMCID: PMC6387342.

Teerawat Issariyakul and Ekram Hossain. 2010. Introduction to Network Simulator NS2 (1st. ed.). Springer Publishing Company, Incorporated.

H. ZEMRANE, A. N. ABBOU, Y. BADDI and A. HASBI, ”Wireless Sensor Networks as part of IOT: Performance study of WiMax - Mobil protocol,” 2018 4th International

Conference on Cloud Computing Technologies and Applications (Cloudtech), 2018, pp. 1-8, doi: 10.1109/CloudTech.2018.8713351.

https://doi.org/10.3182/20090520-3-KR-3006.00038.

https://doi.org/10.1016/j.proeng.2014.11.577.