Development of a smart dashboard for monitoring fungal growth in building structures using UAV and GIS integration

This innovation introduces the development of a smart dashboard that integrates Unmanned Aerial Vehicle (UAV) imagery and Geographic Information System (GIS) data to monitor and visualise fungal growth patterns in building structures. Fungal growth in building structures carries significant pressures on structural integrity, indoor air quality, and human health, especially in humid and poorly ventilated environments. Early detection and continuous monitoring are critical to prevent widespread contamination and costly remediation. The significance of this project lies in its ability to provide building managers, maintenance teams, and researchers with real-time, location-based insights into potential fungal infestations. The objective is to create a centralised digital platform that collects, processes, and displays spatial and environmental data to support timely decision-making and risk justifications. The methodology involves deploying the UAV equipped with high-resolution cameras and RGB sensors to capture imagery of building surfaces, especially in hard-to-reach areas. These images are then georeferenced and analysed using GIS tools to identify moisture-prone zones and early fungal growth indicators. Environmental parameters such as humidity, temperature, and material condition are also incorporated through sensor integration. The processed data is visualised through an interactive dashboard that displays fungal risk levels, spatial distribution maps, and temporal trends. The expected outcome is an intelligent, user-friendly dashboard system that enhances proactive building maintenance, reduces health risks, and supports sustainable facility management. This innovation not only improves monitoring efficiency but also sets a new benchmark for integrating spatial technologies in building diagnostics and environmental health investigations.