RiverEye

This project develops an intelligent drone-based river inspection system using high-definition cameras with full-color night vision and infrared lighting, combined with AI algorithms to detect and classify pollutants. It automates data collection and analysis, greatly improving efficiency and reducing labor costs. By merging aerial mobility with adaptive machine learning, the system enables rapid pollution identification and networked data transmission, offering a cost-effective, scalable solution for proactive water quality management. Prioritizing hardware-software synergy over complex sensors, it helps municipalities achieve faster, smarter environmental monitoring compared to traditional inspection methods.