FOSS4G 2023

Road condition assessment and inspection using deep learning
06-29, 11:30–12:00 (Europe/Tirane), UBT D / N113 - Second Floor

Road Surface Inspector is a system developed by IT34 with the purpose of speeding up the process of road damage registration by using deep learning. The time consuming process of inspection and registration of road damage is reduced significantly by using our Road Scanner Inspector app that can be placed in the windshield of any vehicle. The app records a video and gps coordinates, which are later processed in order to find different types of damage - potholes, cracks, damaged markings using deep learning.

The system can also detect other types of assets such as traffic signs, traffic lights, manholes and others that can be used in fx digitalization tasks.

The results of the image analysis are presented on a webgis portal as heatmaps presenting the condition of the road in the areas that were inspected using the app. The heatmaps are further used by the decision makers in order to prioritize the road maintenance work.

While using the app, Gps logs are built in realtime based on the positions sent by the phone while driving. These are further used for street inspection documentation.

Open source components.
Postgres + Postgis for storing the data and for geometry based analysis
PyTorch and Yolo7 for deep learning
OpenLayers for visualizing the images/detection results as rasters in webgis
Geoserver for publishing data as WMS/WFS
QGis as an external visualization tool for the data

Team Lead GIS and Data IT34 A/S

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