AquAegis deploys a network of IoT sensors throughout municipal water infrastructure to continuously monitor the flow of water and detect anomalies indicating possible leaks.

These sensors communicate data to a centralized platform where machine learning algorithms analyze patterns to predict potential leaks.

When a leak is identified, the system alerts maintenance teams via a cloud-based dashboard, enabling prompt action.

Additionally, the platform offers predictive analytics to optimize maintenance schedules and resource allocation.

AquAegis provides municipalities with a proactive approach to managing water infrastructure, reducing water loss by up to 30% and lowering maintenance costs through predictive insights.

Unlike existing isolated solutions, AquAegis integrates various technologies for comprehensive and scalable monitoring.

Technologically, IoT sensors and cloud computing are mature enough for implementation.

The initial costs for installing sensors may be high, but long-term savings and improved water management justify the investment.

Integration with existing systems poses moderate complexity, requiring skilled technical teams for deployment.