Parameswaran Ramesh, Vidhya N, Panjavarnam B, Shabana Parveen M, Deepak Athipan A M B, B. P. T. V
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引用次数: 0
摘要
引言：在世界各地，人们遭遇洪灾的频率高于其他自然灾害。目标：这项研究的动机是提供一个基于物联网（IoT）的预警辅助系统，以监测受洪水影响地区的积水程度。此外，开发的系统还使用了 SSD-MobiNET V2 模型来检测洪水区域内的物体并对其进行分类。方法：所开发的研究在实时场景中进行了验证。为此，使用 Raspberry Pi 4 B 型处理器设计和开发了一个定制的嵌入式模块。该模块使用(i) pi 摄像头捕捉物体，(ii) 超声波传感器测量洪水区域的水位。结果：测量到的数据和检测到的物体会定期移植到云端，并存储在云数据库中，以便进行远程监控和进一步处理。结论：此外，只要内涝水位超过阈值，就会以短信、电话或电子邮件的形式向有关部门发出警报。
I-CVSSDM: IoT Enabled Computer Vision Safety System for Disaster Management
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.
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