Riverbank Monitoring using Image Processing for Early Flood Warning System via IoT

This paper is presented a system that monitor the river water level by using computer vision with image processing and IoT. developed to detect riverbank applying where edge detection technique applied on both images captured video camera. The flood severity determined comparing level. Then, upload IoT platform. A notification sent people when reached certain critical via Telegram app which one of social media applications. available Raspberry Pi 3 Model B usedas controller in this hardware device 5MP camera module.The platform used Ubidots user can be notified through it. main contribution work integration Cloud as an early monitoring responding climate change determining alert community condition. Experimental results shown it viable approach combine artificial intelligent makes comparison Canny Edge Detection threshold for bank also had been tested lab (indoor) environment outdoor check suitability operate at real environment.