Case Study: Waypoint Transit accelerates urban planning with Roboflow Vision AI

A Roboflow Case Study

Preview of the Waypoint Transit Case Study

Waypoint Transit maps thousands of city blocks with Roboflow

Waypoint Transit, an organization focused on urban planning, faced the challenge of relying on slow and costly manual fieldwork to collect data on city infrastructure like curbs and sidewalks. To automate this process, they turned to Roboflow for its computer vision solutions, including hosted model training and secure cloud inference.

Using Roboflow, Waypoint developed AI models to extract geospatial features from satellite imagery. This allowed them to automatically analyze thousands of images to identify and classify curbs for projects like intersection "daylighting" to improve pedestrian safety. The solution provided by Roboflow enabled Waypoint to save significant time and resources, empowering cities to make smarter, data-driven decisions and prioritize the most impactful projects.


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