Map and add detail where others miss!
Pedestrian infrastructure is invisible to most maps.
- Sidewalks, curb ramps, crossings are fragmented or missing
- ADA features are rarely structured or routable
- Aerial-only mapping fails at street level
On-device AI
Semantic segmentation and feature detection run locally.
No raw imagery leaves the device.
Depth + GPS + Human-in-the-Loop
LiDAR-informed depth, spatial annotation, and real-time validation.
Designed for Accessibility Data
Built to capture curb ramps, crossings, surface quality, obstructions, and slope.
Standards-aligned Output
Exports directly into structured pedestrian data pipelines.
From Steet to System
From street-level capture to statewide data.
- Field Capture (iOSPointMapper)
- QA + Human Review
- Structured Pedestrian Graph
- Planning, Routing, Accountability
Who It’s For
- Transportation Agencies
Data you can maintain, audit, and reuse. - Accessibility Advocates
Capture lived experience as structured evidence. - Researchers
Ground-truth data for models and evaluation. - Communities
Make barriers visible and actionable.
Built for Real-World Constraints
- Privacy-preserving by design
- Tested in field conditions
- Built with accessibility-first pedestrian schema
- Works Offline
iOSPointMapper fills that gap at the source