In March and April, AGUIA carried out the exploration of several roads in the Community of Madrid, aiming to identify pavement damage and other infrastructure elements through automatic image recognition technologies. The project was carried out for the Community of Madrid, with the support of Easy Drones, which conducted the flights using a DJI Mavic 3 Enterprise aircraft.
The process involved acquiring aerial images along the different inspected sections, followed by analysis and validation of the collected data, as well as interpretation of the results to support road infrastructure management and maintenance.
A total of 66 km were inspected, covering the following sections: M-608 (Guadalix – Glorieta M-626 to M-611), M-521 (Fresnedillas – Navalgamella), M-601 (Collado Villalba – Navacerrada), M-618 (Colmenar Viejo – Urbanization El Berzalejo), M-607 (Tres Cantos – Colmenar Viejo), and M-501 (Brunete – Navas del Rey). During the inspection, defects were detected in the pavement, lane markings, edge markers, reflectors, guardrails, manhole covers and drainage elements, as well as vertical signage.
The project concluded successfully, highlighting the effectiveness of the fieldwork and the accuracy of the data obtained, demonstrating AGUIA’s capability to optimize the automated management of road infrastructures.
