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Drone inspection of structures

We record the condition of your structures without cherry pickers or scaffolding: georeferenced images down to 0.5 mm per pixel, a 3D model, located and measured defects.

Drone inspecting beneath the piers of a dam
Dam inspection, Brazil

What we inspect

The drone reaches high areas, faces and exposed zones in a few hours, without stopping operations. Because surveys are georeferenced, each defect is found at the same position from one campaign to the next.

Hydraulic structures and bridges

Dams, spillways, bridge piers, quays: cracks, spalling, exposed rebar.

Buildings

Façades, roofs, gutters, lifelines, anchor points and welds.

Networks, pylons and antennas

Power pylons, insulators, telecom masts and antennas.

Industrial and port sites

Steel structures, corrosion, verticality of pylons and structures.

Method

From a one-off visual inspection to a digital twin monitored over time.

  1. 01

    Automated capture

    The drone follows a 3D path computed from the geometry of the structure, in visible or infrared, with constant overlap.

  2. 02

    Processing

    Point cloud, 3D model, digital surface model, orthomosaics and ortho-façades.

  3. 03

    Detection and analysis

    Locating, measuring and classifying defects: cracks, corrosion, spalling, leaks.

  4. 04

    Comparison

    From one campaign to the next, defects are tracked to measure deterioration and prioritise repairs.

Case study

Orthophoto of a dam face in Brazil
Orthophoto of a dam face in Brazil
Detected and classified cracks
Detected and classified cracks
Defect sheet: exposed rebar
Defect sheet: exposed rebar

Peti dam, Brazil: four crack-monitoring campaigns

Every year since 2022, the faces of this 46 m arch dam have been photographed from 5 or 6 m away and reprojected onto the same face orthophotos. The baseline counts 4,052 cracks; later campaigns only trace those that appear or lengthen: 22 in 2023, 4 in 2024, 6 in 2025.

0,7–0,9 mmper pixel on the faces
4 052cracks at baseline
2022–2025four campaigns compared
6new cracks in 2025

Deliverables

From raw data to full analysis, depending on your maintenance needs.

Georeferenced photos and videosJPEG, MP4
Orthomosaics and ortho-façadesGeoTIFF
Point cloudLAS, LAZ
3D mesh modelOBJ
Defect mapping and classificationDWG, PDF
Inspection reportPDF
Online viewing spaceSentinel Cloud

Gallery

Frequently asked questions

What resolution is needed to detect a crack?

On dam faces we fly 4 to 6 m from the wall to reach 0.7 to 1 mm per pixel. A crack can be spotted by contrast well below the pixel size, but its opening can only be measured reliably above it. On concrete test blocks, photographed from 40 cm, we go down to 0.15 mm per pixel.

Do operations have to stop during the inspection?

No. Flight plans are approved with the operator and the drone keeps its distance from the installations: in Juquiá as in Bahia, the plants kept producing. The real constraint is the spillway gates: when they open, the downstream face is wet and we have to wait.

How do you compare two campaigns?

Each year the photos are reprojected onto the same face orthophotos, registered on points identified on the structure: GNSS alone is not enough to overlay two campaigns to the millimetre. On this common base, we only trace cracks that appear or lengthen.

What do you receive at the end of the mission?

The face orthophotos and the 3D model, the defect mapping in shapefile or DWG with a naming scheme by zone, an inspection report and, if you wish, access to Sentinel Cloud to view each defect with its length, position and type.

Do you work in Brazil?

Yes, through our company Sentinel Imagens e Soluções in Rio de Janeiro: the Peti dam in Minas Gerais since 2022, a hydroelectric plant in Bahia in 2025, the Juquiá complex in the state of São Paulo since 2026, with the clearances required on electrical sites (NR-10, NR-33, NR-35).

Tell us about your project

Location, area or structure, expected deliverables and timing: with these details we can propose a method and a quote.

French Guiana3 rue Gramme
97310 Kourou
French Guiana
MartiniqueDomaine de Château Gaillard
Route des Trois-Îlets
97229 Les Trois-Îlets
Martinique
BrazilRua Santa Luzia, 735 – Pavimento 10
Centro, 20030-041 Rio de Janeiro – RJ
Brazil