Artificial Intelligence-Assisted Profiling System for Automatic and Georeferenced Diagnosis of Urban Areas

Abstract

This invention relates to a system that assigns profiles to urban areas assisted by artificial intelligence for the automatic and georeferenced characterization and diagnosis of urban areas, integrating heterogeneous data from multiple sources. The system, composed of a layered architecture, processes data, including data from sensors or video cameras, using machine learning and computer vision techniques adapted to assign a specific profile to each urban area based on parameters such as air and water pollution levels, weather conditions, traffic flow, and public safety, with detailed real-time analysis and precise georeferencing. Advantageously, the innovation considers the integration of visual, environmental, traffic, and public safety data on a single platform.INVENTION ALSO CONSIDERS THE GENERATION OF DYNAMIC AND CONTINUOUS DIAGNOSTICS, PROMOTING A MORE EFFECTIVE AND PREVENTIVE MANAGEMENT OF URBAN AREAS AND IMPROVING THE EXPERIENCE AND QUALITY OF LIFE OF CITIZENS.