Research Article
I-CVSSDM: IoT Enabled Computer Vision Safety System for Disaster Management
@ARTICLE{10.4108/eetiot.5046, author={Parameswaran Ramesh and Vidhya N and Panjavarnam B and Shabana Parveen M and Deepak Athipan A M B and Bhuvaneswari P T V}, title={I-CVSSDM: IoT Enabled Computer Vision Safety System for Disaster Management}, journal={EAI Endorsed Transactions on Internet of Things}, volume={10}, number={1}, publisher={EAI}, journal_a={IOT}, year={2024}, month={2}, keywords={IoT, SSD, Mobi Net, Raspberry pi, Alert System}, doi={10.4108/eetiot.5046} }- Parameswaran Ramesh
Vidhya N
Panjavarnam B
Shabana Parveen M
Deepak Athipan A M B
Bhuvaneswari P T V
Year: 2024
I-CVSSDM: IoT Enabled Computer Vision Safety System for Disaster Management
IOT
EAI
DOI: 10.4108/eetiot.5046
Abstract
INTRODUCTION: Around the world, individuals experience flooding more frequently than any other natural calamity. OBJECTIVES: The motivation behind this research is to provide an Internet of Things (IoT)-based early warning assistive system to enable monitoring of water logging levels in flood-affected areas. Further, the SSD-MobiNET V2 model is used in the developed system to detect and classify the objects that prevail in the flood zone. METHODS: The developed research is validated in a real-time scenario. To enable this, a customized embedded module is designed and developed using the Raspberry Pi 4 model B processor. The module uses (i) a pi-camera to capture the objects and (ii) an ultrasonic sensor to measure the water level in the flood area. RESULTS: The measured data and detected objects are periodically ported to the cloud and stored in the cloud database to enable remote monitoring and further processing. CONCLUSION: Also, whenever the level of waterlogged exceeds the threshold, an alert is sent to the concerned authorities in the form of an SMS, a phone call, or an email.
Copyright © 2024 P. Ramesh et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
