Paper Title : Flood Monitoring System Using Iot And Machine Learning
ISSN : 2394-2231
Year of Publication : 2020
MLA Style: MUKUL LAKHOTIA, KUSHAGRA GOYAL, KARAN PAMNANI,LOKESH MALVIYA " Flood Monitoring System Using Iot And Machine Learning " Volume 7 - Issue 3 May-June ,2020 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
APA Style: MUKUL LAKHOTIA, KUSHAGRA GOYAL, KARAN PAMNANI,LOKESH MALVIYA " Flood Monitoring System Using Iot And Machine Learning " Volume 7 - Issue 3 May-June ,2020 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
Detecting floods in real-time and taking rapid actions are of utmost importance to save human lives, loss of infrastructures, and personal properties. The main objective of our project is to develop a flash flood warning system to monitor the water level rise in rivers which are prone to severe flood. Here we develop a low-cost, low-power system using a Raspberry Pi camera to detect the rising water level. We employ image processing, edge detection and prediction method to detect the rising water level and predict the time of impact. In the hardware section we use Raspberry-Pi, which has main tasks as an image processor and do an update to the system. OpenCV library is used as Image Processing Software. Some method which we use in the project are Region of Interest, Edge detection, Grayscale and Threshold etc. The machine will read and track the water level using those methods. If the water level reaches the defined level, this device will produce an early warning of imminent floods by updating the water level timeline
 JiraponSunkpho and ChaiwatOotamakorn,“Real-time flood monitoring and warning system  Chang, N. and Guo Da-Hai.,“Urban Flash Flood Monitoring, Mapping and Forecasting via a Tailored Sensor Network System, Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control 2006,” issue 23-25, pp. 757-761, April 2006  RamKumar Narayanan, VM Lekshmy, Sethuraman Rao, Kalyan Sasidhar,“A Novel Approach to Urban Flood Monitoring Using Computer Vision ”IEEE - 33044  H. H. JaehyoungYu,“Remote detection and monitoring of a water level using narrow band channel ”Journal of Information Science and Engineering 26,71-82, 2010.  K. Khurana and R. Awasthi,“Techniques for Object Recognition in Images and MultiObject Detection ”—2018  G Natividad and J M Mendez,“Flood Monitoring and Early Warning System Using Ultrasonic Sensor ”Conf. Ser.: Mater. Sci. Eng. 325 012020 View the  Bhavana B Nair Sethuraman N Rao, “Flood Monitoring using Computer Vision”,International Journal Of Computer Science And Applications Vol. 4, IEEE Xplore
Hough Line Transform, Raspberry Pi, Grayscale, SIFT.