Real-time WSN based early flood detection and control monitoring system

Thekkil, Tibin Mathew; Prabakaran, N.

doi:10.1109/icicict1.2017.8342828

Cited by 24 publications

(13 citation statements)

References 8 publications

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“…People often cannot get evacuated immediately, which leads to the sudden death of hundreds of people. Thekkil et al [ 32 ] presented a wireless sensor network-based early flood detection control monitoring system. This system uses CMOS image sensors to gather data in the form of images and transmits these images via wireless sensor nodes to remote monitoring stations using Zigbee and Global System for Mobile (GSM) communication networks.…”

Section: Cmos Image Sensor Applicationsmentioning

confidence: 99%

CMOS Image Sensors in Surveillance System Applications

Sukhavasi

Elleithy

Abuzneid

et al. 2021

Sensors

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Recent technology advances in CMOS image sensors (CIS) enable their utilization in the most demanding of surveillance fields, especially visual surveillance and intrusion detection in intelligent surveillance systems, aerial surveillance in war zones, Earth environmental surveillance by satellites in space monitoring, agricultural monitoring using wireless sensor networks and internet of things and driver assistance in automotive fields. This paper presents an overview of CMOS image sensor-based surveillance applications over the last decade by tabulating the design characteristics related to image quality such as resolution, frame rate, dynamic range, signal-to-noise ratio, and also processing technology. Different models of CMOS image sensors used in all applications have been surveyed and tabulated for every year and application.

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Section: Cmos Image Sensor Applicationsmentioning

confidence: 99%

CMOS Image Sensors in Surveillance System Applications

Sukhavasi

Elleithy

Abuzneid

et al. 2021

Sensors

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“…This approach provides a convenient and cost-effective way to monitor flood-prone sites in real time [40]. Furthermore, Thekkil et al [41] and Balaji et al [42] utilised ZigBee and Global System for Mobile (GSM) to transmit acquired camera images and generate flood-related warnings. The study also utilised the scale-invariant feature transform (SIFT) algorithm for the autonomous monitoring of flood.…”

Section: Computer Vision and Iot Sensors For Early Warning Systemsmentioning

confidence: 99%

Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review

Arshad

Ogie

Barthélemy

et al. 2019

Sensors

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Floods are amongst the most common and devastating of all natural hazards. The alarming number of flood-related deaths and financial losses suffered annually across the world call for improved response to flood risks. Interestingly, the last decade has presented great opportunities with a series of scholarly activities exploring how camera images and wireless sensor data from Internet-of-Things (IoT) networks can improve flood management. This paper presents a systematic review of the literature regarding IoT-based sensors and computer vision applications in flood monitoring and mapping. The paper contributes by highlighting the main computer vision techniques and IoT sensor approaches utilised in the literature for real-time flood monitoring, flood modelling, mapping and early warning systems including the estimation of water level. The paper further contributes by providing recommendations for future research. In particular, the study recommends ways in which computer vision and IoT sensor techniques can be harnessed to better monitor and manage coastal lagoons—an aspect that is under-explored in the literature.

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“…If it alerts danger, alarm will be beeped. [2] Analyn N. Yumang et.al. has developed a standalone flood water level monitoring system for the community in Kahilom Street Pandacan, Manila.…”

Section: Literature Reviewmentioning

confidence: 99%

Review on Flood Monitoring and Early Warning System

Bhosale¹

2018

IJRASET

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A natural disaster which is a sudden event that causes widespread destruction, lots of collateral damage or loss of life, brought about by forces other than the acts of human beings. Disaster can be a type of earthquake, epidemics, extreme temperature, flood, landslides, and storms. Not only in India but also all over word floods are the most common and most destructive natural disaster where lot of mankind and environmental loss is done. According to National Geographic $6 billion damage and 140 people killed due to flood in the united states. This review paper gives you an overall review on the flood monitoring system and Early warning system implemented by people in the different flood prone areas around the world. Also, this paper consists of a comparative table of various technologies used to monitor and to alert at a particular flood prone area.

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Real-time WSN based early flood detection and control monitoring system

Cited by 24 publications

References 8 publications

CMOS Image Sensors in Surveillance System Applications

CMOS Image Sensors in Surveillance System Applications

Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review

Review on Flood Monitoring and Early Warning System

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