Case / 003 ยท Urban technology
Turning city streets into decision-grade data.
Municipal decisions on parking and road health were made on intuition. Scanning units on taxis and real-time computer vision turned the street into a data source.
The problem
- Authorities had no reliable data on parking density or road health.
- Planning decisions were made on intuition rather than evidence.
The system
Mobile scanning units mounted on taxis capture the street as vehicles move through the city. Computer-vision models process the feeds in real time, turning footage into structured data for planning.
The architecture
- Taxi fleet (Moving sensors)
- Scanning units (Vehicle-mounted)
- Computer vision (Real-time models)
- City data (Parking and roads)
The implementation
- Scanning units mounted on taxis
- Computer-vision models processing feeds in real time
- Structured output on parking density and road condition
The outcome
City planning gained a continuously refreshed evidence base, across 15 cities and more than 10 million data points.
- Cities mapped: 15
- Data points: 10M+
Capabilities used
- AI Systems
- Industrial Systems