Mobile Environmental Data Collection
Robots move through spaces to collect environmental changes that are difficult to detect with fixed monitoring equipment alone.
AI-Based Environmental Anomaly Detection
Analyzes collected environmental data to quickly identify abnormal conditions such as fine dust, ozone, and heat stress.
Automated Public Space Monitoring
Repeatedly monitors environmental conditions across wide spaces like parks, lake parks, and urban forests.
Environmental Information Service
Analyzed environmental information can be linked to administrator dashboards, on-site guidance, and citizen alert services.
Smart City Service Scalability
Can be expanded into various public services including urban environmental management, public safety, and park management.
