What kind of data can be extracted from footpath.ai's imagery?

footpath.ai's DeepWalk™ AI stack can extract detailed environmental, mobility, and infrastructure features. This includes sidewalk surface material, tree canopy shade, weather protection, benches, garbage bins, bike racks, pedestrian crossings, and accessibility curb cuts.

How is footpath.ai's data licensed and priced?

Data is licensed based on the linear distance of sidewalks in kilometers. There is a one-time license fee for commercial users, with updates treated as new licenses. Pricing tiers start at $149 per km for 360° Vision, $199 per km for AI 360° Vision, and $249 per km for AI+ 360° Vision.

What is the coverage area for footpath.ai's street-level imagery?

footpath.ai is building a large-scale, global dataset of high-resolution 360° street-level imagery. Currently, it covers 18 major cities in 12 countries, with over 130,000 panoramic images available.

footpath.ai — AI Data Visualization Tool | Shypd

About

What is footpath.ai?

footpath.ai leverages AI and computer vision to transform high-resolution 360° street-level imagery into actionable urban intelligence. The platform builds large-scale, global datasets that enable detailed extraction of environmental, mobility, and infrastructure features. Its DeepWalk™ AI stack offers a cloud-based, scalable mapping pipeline, creating digital twins of urban environments. This technology provides insights into infrastructure, mobility, safety, and accessibility, supporting human-centered decision-making for cities. The multilayer urban networks and feature maps capture physical, environmental, and mobility details, going beyond conventional mapping approaches to support applications like infrastructure planning, safety, accessibility, and climate initiatives.

Best used for

Ideal for urban planners, city officials, and researchers who need to understand urban infrastructure, assess safety and accessibility, and support climate initiatives. Especially valuable for creating detailed digital twins of urban environments and extracting granular street-level features.

Capabilities

Key features

360° street-level imagery
AI-detected sidewalk features
Multilayer urban networks
DeepWalk™ AI stack
GeoAI algorithms
Digital twin creation

Audience

data scientist enterprise b2b developers teams

Integrations

Not yet documented

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