Pavimentados

Inter-American Development Bank

Pavimentados is a tool designed to identify faults in the pavement of roads and highways, in addition to vertical and horizontal signaling. It uses computer vision models to detect various elements on the roads, the results of which are used to generate key metrics for road maintenance planning. Developed to optimize and reduce costs associated with road maintenance and signal inventory, Pavimentados facilitates a more efficient and economical process. Its implementation seeks to support regional organizations and companies in improving road infrastructure, aligning with the objectives of digitalization and efficiency in transportation processes for 2025.

Managing infrastructure projects can be complex and challenging. Paved addresses this problem by providing a platform that simplifies and improves the management of road and pavement projects.

Project Management: Users can efficiently manage road and pavement projects, from planning to execution. Data and Asset Tracking: The platform offers tools for tracking project data and assets, ensuring accurate and up-to-date information. Documentation and Reporting: Users can generate project documentation and reports to streamline decision-making and reporting processes. Collaboration: Pavimentados supports collaboration among project stakeholders, enhancing communication and coordination. Customization: It can be tailored to meet the specific needs and requirements of infrastructure projects.

Utilizes Python to ensure compatibility with TensorFlow for AI model execution. Detects road faults and signage, evaluating conditions through advanced models. Supports images and videos as inputs for detailed analysis. Incorporates GPS data in open formats for precise localization. Eases installation via pip, allowing direct model download into the package's root.