Aero-Diagnostics of Structural Damage

The Scope

A computer vision–based aero-diagnostics solution was implemented to support inspection of structural damage at industrial facilities, buildings, and infrastructure using unmanned aerial vehicles.

The Problem

Inspection of structural damage at large-scale facilities is a complex and resource-intensive process. Traditional methods, such as visual inspection and manual measurements, are time-consuming and may lead to incomplete or inaccurate assessments. In addition, personnel are often required to work in hazardous or hard-to-reach areas, increasing safety risks and inspection costs.

The Solution

An aero-diagnostics system was implemented for automated inspection using drones. Unmanned aerial vehicles collect images and video from hard-to-reach locations without human involvement. Computer vision algorithms analyze the collected data to detect cracks, deformations, corrosion, broken windows, and other structural defects. Based on the analysis results, inspection reports are generated to support further evaluation and planning of repair activities.

The Outcome

The implemented solution enabled faster inspection cycles while reducing the need for manual assessments. Inspection accuracy and consistency were improved, and personnel exposure to hazardous conditions was minimized. The generated reports provided a structured basis for maintenance planning and repair decision-making.