DroMii

DroMii

4smapper
APPLICATION

Field-ready AI platforms for water and road infrastructure

DroMii connects drone, satellite, GIS, and public datasets into operational workspaces that help teams understand infrastructure conditions and prioritize action.

K-AQUASWater GIS Intelligence
K-AQUAS dashboard preview
WatershedPollutionPriority
D-ROADRoad Asset Intelligence
D-ROAD dashboard preview
DamageRiskRepair
Workflow

From field data to operational decisions

Map-based exploration, AI analysis, layer comparison, and visual reporting are combined into one workflow to reduce repetitive review work.

01

Data Layer

Unify satellite, drone, public, and field data as GIS layers.

02

AI & Rule Analysis

Transform pollution sources, road damage, and change signals into actionable indicators.

03

Map Workspace

Review results through maps, layers, and comparison views.

04

Decision Support

Identify priority areas, risky segments, and next actions.

Products

DroMii Products

Different infrastructure problems, solved through the same data, AI, and GIS operating model.

K-AQUAS analysis screen
01Water GIS Intelligence Platform

K-AQUAS

Dam and watershed GIS analytics for water pollution decisions

K-AQUAS integrates satellite imagery, land-cover maps, water quality indicators, and pollution source data around dams and watersheds so managers can identify changes and risks faster.

  • Dam and watershed GIS monitoring
  • Satellite/drone data comparison
  • Land-cover and water layers
  • Pollution source detection
  • Priority area planning
Map

Dam/weir map, AOI, river, facility, and cadastral layers

Analysis

NDVI/NDWI, land cover, water quality layers, pollution load

Output

Land-cover comparison, pollution projects, priority areas

D-ROAD analysis screen
02Road Asset Intelligence Platform

D-ROAD

Road asset condition analytics for maintenance decisions

D-ROAD analyzes road imagery and spatial data with AI to detect potholes, cracks, and risk factors while helping maintenance teams organize repair priorities.

  • Road damage detection
  • Risk factor analysis
  • Spatial issue history
  • Maintenance prioritization
Map

Road segments, location-based risks, field images

Analysis

Potholes, cracks, pavement issues, facility risk signals

Output

Inspection visualization, repair priorities, management reports

Next Step

Validate through demos, then scale with field data.

Use the live demos and existing detail pages to review the product flow before deeper implementation.