AI-supported evaluation
from image and 3D data

The software-supported analysis includes the digital processing of LiDAR point clouds and high-resolution image data from drone inspections. The aim is to record damage, anomalies, deposits, deformations and geometric features in a structured manner. The data is prepared in such a way that comprehensible documentation and technical evaluation is possible. This creates a reliable basis for condition assessment, reporting and further planning. The evaluation helps to efficiently view relevant findings and prepare them for specific projects.

With the digital evaluation, different damage patterns and anomalies in suitable sewers, shafts, culverts and special structures can be recorded in a structured manner. These include deposits, deformations and geometric features that become visible in the image and 3D data. The software-supported analysis helps to mark relevant findings in a targeted manner and document them in a comprehensible manner. In this way, inspection data is clearly prepared and made usable for technical evaluation. The final assessment is always carried out on a project-specific basis and, if necessary, is based on relevant regulations.

The software-supported analysis creates a structured basis for assessing the condition of inspected sewer structures. Captured image and LiDAR data is digitally processed so that damage and anomalies can be documented in a comprehensible manner. This makes it easier to review the data and prepare relevant findings for reports. On this basis, results can be clearly compiled for documentation, evaluation and further planning. This creates a reliable and transparent basis for project-related decisions.

The final evaluation of the analyzed data can be based on relevant regulations such as DIN EN 13508-2 and DIN 1986-30. This orientation supports a comprehensible and technically sound classification of the recorded findings. It is important that the software-supported analysis prepares the data in a structured manner and makes it usable for the assessment. The actual assessment depends on the requirements of the respective project. This allows documentation and reporting to be based on suitable technical and normative specifications.

A project begins with an examination of the existing data and clarification of the requirements for documentation, evaluation and output formats. The image and LiDAR data captured during the drone inspection is then digitally processed and prepared for technical evaluation. In the analysis, damage, anomalies and geometric features are recorded and documented in a structured manner. The results are processed in such a way that they can be used for condition assessment, planning and reporting. On request, a project-related offer can be prepared, also as a fixed price offer and with an on-site appointment.

Kuchler Geomatics combines software-supported data evaluation with Kuchler GmbH's many years of experience in sewer inspection, sewer cleaning and sewer rehabilitation. As a result, image and LiDAR data is not only digitally processed, but also made usable in a practical way for technical evaluation. The company supports its customers in efficiently viewing inspection data, marking relevant findings and documenting them in a comprehensible manner. From data collection to structured evaluation, clients receive a reliable basis for assessment, reporting and further planning. This is complemented by rapid feedback within 24 hours, project-related quotations and, on request, an on-site appointment.