footpath.ai utilizes AI and computer vision to create detailed, routable maps focused on pedestrian infrastructure, including sidewalks, crosswalks, and urban amenities. This technology addresses the lack of comprehensive walking data in traditional maps, enabling improved urban planning and enhanced walkability for cities worldwide.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional maps often lack comprehensive data on pedestrian infrastructure, such as sidewalks and crosswalks, hindering effective urban planning and accessibility assessments. This absence of detailed walking data limits the ability to create walkable cities and optimize pedestrian routes.
Solution
footpath.ai utilizes AI and computer vision to generate detailed, routable maps focused on pedestrian infrastructure and urban amenities. The DeepWalk™ AI stack processes global high-resolution 360° street-level imagery to create multilayer urban network and feature maps. This technology enables the extraction of environmental, mobility, and infrastructure features, supporting human-centered decisions related to climate, safety, accessibility, and navigation. The resulting digital twins of urban environments provide insights into infrastructure, mobility, safety, and accessibility, facilitating the development of more resilient cities.
Target Audience
The primary users are city planners, last-mile delivery providers, and accessibility advocates seeking detailed, on-demand visual sidewalk data to improve pedestrian infrastructure and optimize mobility.
Features
- Global high-resolution 360° street-level imagery for detailed urban feature extraction
- DeepWalk™ AI stack with advanced visual semantic segmentation, monocular depth estimation, and geoAI mapping algorithms
- Multilayer urban network and feature maps capturing physical, environmental, and mobility elements
- AI-detected map data including routable sidewalk networks, crossings, benches, ramps, trees, and more
- Data output in standard GeoJSON format for easy integration into geospatial platforms
- Automatic blurring of faces and license plates to ensure privacy
- Scalable and reliable data through a human-in-the-loop AI-powered process