OUR SOLUTIONS

Detection, characterization and monitoring of damage to weakly structured structures

How can we anticipate the adaptation of our coastal territories?

This is a matter for economic partners and local authorities (Départements, Agglomerations, communes), because the stakes are of social and economic importance: preserving the coastline of our coastline and the banks of our marshes.

Our solution

Using two drone inspections staggered in time, our solution automates the analysis of damage to a structure by quantifying :

  • its deformations along axes chosen graphically by the user,
  • and the movement of materials (boulders, riprap, etc.).

Our visual indicators highlight the relevant business information to trigger the actions needed to preserve the structure, quickly and with maximum certainty.

Note that the raw data is always accessible to the Expert, so that he can clarify any doubts.

Customer benefits

Saving time is a major advantage of our approach, enabling us to carry out maintenance operations in the right way.

The digitization of the work allows the User, in real time, to view :

Automatic production of cross-sections positioned on demand.

Automatic comparison of the evolution of a cross-section with a history.

Automatic, geo-referenced identification of material movements by volume.

Automatic, real-time extraction of raw HD photos, for more reliable decision-making by the Expert.

In a nutshell

Our application automatically takes an RTK drone shot of the structure:

  • position cross-sections manually by the user, or equi-separated according to a user-selected path,
  • calculate and visualize, in real time, the slopes of these cross-sections,
  • compare the condition of the structure with that of a previous inspection (superimposition of cross-sections, identification of material displacements),
  • assess the volume of material movements,
  • confirm automatic choices by selecting raw photos, taken by the drone in high resolution, describing the area of interest concerned,
  • graphically measure lengths, areas and volumes.