PERREA²D: Detection, characterisation and ongoing monitoring of deterioriation to weak structures

How to anticipated the adaptation of our coastal areas. ?

That is the question facing economic partners and local authorities (regional and urban authorities and municipalities), because an important social and economic issue is at stake – preserving the coastline and the banks of our marshes.

Our solution

Based on two drone inspections conducted at different times, our solution automates the analysis of a structure’s deterioration by quantifying:

its deformations along the axes chosen graphically by the user,
and the movements of materials (blocks, rocks, etc.).

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

Raw data is always available for experts to substantiate their doubt-resolution work.

Client benefits

Time-saving is a major advantage of our approach, in order to optimise the launch of maintenance operations.

The digitalisation of the structure allows users, in real-time, to visualise:

Automatic production of cross-sections positioned on demand.

Automatic comparison of changes to a cross-section compared to historical data.

Automatic and georeferenced identification of material movements, according to their volume.

Real-time automatic extraction of raw HD photos to ensure the reliability of the expert’s decision-making.

In summary

Based on a drone RTK image of the structure, our application automatically makes it possible:

for the user to manually position cross-sections or evenly distribute them along a path chosen by the user,
to calculate and visualise the gradients of these cross-sections in real-time,
to compare the structure’s condition with a previous inspection (overlay of cross-sections, identification of material movements),
to evaluate the volume of material movements,
to confirm automatic choices by selecting unprocessed photos, taken by the drone in high resolution, showing the relevant area of interest,
to graphically measure lengths, areas and volumes.