Water resource analysis with artificial intelegence for urban risk mitigation management using Hydroflux

Abstract

With so many threats of natural and non-natural disasters, flood must be anticipated with technology based management. Nowadays society 5.0 is the solution to many of the change facing Indonesia, such as implentation of artificial intelegence for early warning system and decision support system of flood disaster mitigation. So, singularity technology needs for resolve the problems. This research is a preleminary test of Hydrolux sistem. It uses computer vision technology in measuring the water level, monitoring the area, and detecting objects (garbage). The sampling process conducted with creating the AI model by collecting the garbage data, data annotation, collect the SSD object detection model, transfer learning, convert to intel OpenVINO, optimizing the model, and run the model in intel NCS2. The result of this research is an informative research frameworkd and reference point for academics, government, and practitioners.