capturGO Network
Map Data Structure and Verification
to be updated.
How CapturGO Organizes the World
CapturGO divides the map into small hexagonal cells using H3. Each hex is a tiny area where movement, POI updates, and incident reports happen. This lets the network measure freshness, accuracy, and rewards at a very local level.
Every contribution you make: moving, reporting, or verifying, is tied to one or more hexes.
Regions
Hexes group into larger regions such as districts or cities. Regions help track:
Contributor activity
Number of updated hexes
POI freshness
Road and movement changes
This lets us see which areas are healthy and which areas need more contributors.
How CapturGO Verifies Contributions
capturGO uses a blend of signals instead of relying on cameras or dedicated hardware.
1. Movement Verification
When multiple users pass through the same hex, capturGO compares their anonymous movement patterns. If speeds, direction changes, and activity line up, the network accepts that information as valid.
This confirms things like traffic, closures, slowdowns, and route changes.
2. POI and Photo Verification
Place updates are verified through:
Repeated user confirmations
Quick storefront photos
Activity patterns around the location
Time- and location-matching checks
A POI only updates when multiple signals agree.
3. Reliability and Diversity
CapturGO weighs contributions based on:
User accuracy over time
Natural movement behavior
Different paths and timing
Duplicate routes or unnatural patterns are filtered out. New contributors gain trust as they submit accurate updates.
Low-Activity Areas
In areas with fewer contributors, updates may require more confirmations. This prevents incorrect map changes while still encouraging growth.
Why This Works
CapturGO combines real movement, crowd observations, photos, and repeated evidence across time. This creates a fresh, trustworthy map without special hardware or centralized mapping vehicles.
The result is a decentralized, smartphone-powered mobility network that stays accurate because real people move through it every day.
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