Computer vision system based on Deep Learning capable of detecting, localizing and categorizing 13 different types of superficial road defects, from 2D photos.

Project TED2021-129749B-I00 funded by MICIU/AEI/10.13039/501100011033 and the European Union Next Generation EU/PRTR

OUR SOFTWARE IS BEING DEVELOPED

IT WILL ENABLE YOU TO EXPLORE THE ROADS FROM YOUR PC AND MAKE DATA-DRIVEN DECISIONS FOR THE BEST MAINTENANCE STRATEGY WITH A VERY LOW PRICE.

MAPSIA

The MAPSIA System is the name for the image gathering device. Any vehicle can use the Mosquito system, which delivers high-quality georeferenced photos at normal driving speeds.

DEEP LEARNING BASED SOLUTION

Our algorithm locates, detects and classifies up to 13 types of road defects. With the model outputs, a pavement condition index has been engineered.

MAPSIA software allows you to design a strategic maintenance plan at a glance thanks to our geo-referenced condition index. You will also be able to have vivid imagery and options to select your road defects of interest.