Virtual Booth

Sidoarjo Regency is a delta region located between river flows and coastal areas, making it highly vulnerable to flooding, especially during heavy rainfall and high-water flow conditions. One of the contributing factors to flooding in delta areas is the accumulation of waste in rivers, drainage channels, and narrow waterways, which can obstruct water flow and reduce drainage capacity. This project proposes FloodWatch Drone, an AI-powered Unmanned Aerial Vehicle system designed to detect river waste and assess its potential impact on flood risk in Sidoarjo.

FloodWatch Drone uses aerial images captured by a drone to identify waste accumulation along rivers, including plastic waste, organic debris, and large floating objects. The collected images are processed using computer vision and artificial intelligence to classify the type, density, and distribution of waste. The system then analyzes simple flood risk indicators, such as waste concentration, blockage location, obstruction of river width, and proximity to bridges, settlements, or drainage outlets. Based on this analysis, the system generates visual reports and risk categories to support early warning and decision-making.

The proposed innovation aims to assist local communities, environmental agencies, and disaster management stakeholders in monitoring critical river sections more efficiently. By integrating UAV-based image acquisition, AI-driven waste detection, and flood risk assessment, FloodWatch Drone offers a practical and scalable solution for river monitoring and flood prevention. This innovation is expected to contribute to environmental protection and disaster mitigation in Sidoarjo as a delta region that requires continuous waterway management.