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CTA R&D&I Incentives Program
Conacon Sando applies Artificial Intelligence to road preservation
The INSPECT-ROADS project is funded by CTA with the participation of the Applied Informatics research group of the University of Cordoba.
The result will be a tool that will streamline road inspection, reducing time, resources and costs.

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Conacon Sandothe company specializing in infrastructure and energy conservation and maintenance from SandoThe research project, financed by CTA (Technological Corporation of Andalusia) and with the participation of the TIC-252 Applied Computing research group of the University of Andalusia, is a new research project, which will be carried out by the CTA (Technological Corporation of Andalusia). University of Cordobawhich applies Artificial Intelligence (AI) to the detection of incidences on the pavement for road maintenance.

Called INSPECT-ROADS, the project proposes an intelligent mechanism for locating the type, position and severity of problems detected on roads and highways. The approach of this technology represents a leap in quality in the inspection of incidents, by configuring an automated system that identifies deficiencies based on previous knowledge and training.

The technical manager of the sector Building and Civil Works at CTA, Carlos García, explains that “Conacon Sando’s project takes advantage of the latest advances in artificial intelligence and supercomputing to make possible the rapid image and video inspection of linear infrastructures, conditioned until now by the low capacity of data processing and algorithm training”. With the results of the project, he clarifies, “it will be possible to have a quick, easily deployable and comparatively low-cost tool that will significantly speed up the work of inspection technicians, focusing it on the most relevant cases”.

The computer application generated by the INSPECT-ROADS project will also be able to automatically evaluate the degree of severity of the different incidents. In this way, the most serious incidents will be prioritized, allowing a more efficient management of pavement incidents in real time, reducing time, resources and costs.

"Conacon Sando's project takes advantage of the latest advances in artificial intelligence and supercomputing to make possible the rapid image and video inspection of linear infrastructures, conditioned until now by low data processing and algorithm training capacity."

Artificial Intelligence in conservation

Conservation-Inspect-Roads-Conacon-Sando-

As part of the study phase, Conacon Sando will equip the vehicles with a set of cameras supported by navigation systems to position their location at all times. These cameras will perform a massive data acquisition by scanning images from the moving vehicle. Thanks to the algorithms implemented, they will automatically detect pavement incidents.

Previously, the system will be taught to discern and evaluate the different types of incidents. This training phase will be supported by a database with real images of the possible pathologies. The images will be processed with algorithms using AI.

Conacon's experience in conservation and maintenance of sustainable infrastructures joins in this project to Sando's background in the field of research, since this company has previously carried out projects with AI and georeferencing. In this sense, this research is aligned with other studies that enhance Conacon's innovative role in the field of smartcities and road maintenance.

 

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