Similar to GIS, cadaster data provides information on urban shapes and can therefore be used as input data for model training.

For continuous improvement, detections can be adapted and models retrained. In case annotations and models do not exist for your desired use case yet, annotations can be made by yourself to train a new model from scratch.

An asset which is damaged or shut down for maintenance is often difficult to identify and costly. Traditional on-site asset inspection is very time-consuming and inefficient, even if mobile mapping image data is available to perform this task from your desktop. Detekt analyzes existing footage using Artificial Intelligence to identify and classify defects, be it a crack or a damaged traffic sign. Maintenance staff no longer need to manually look for defects or rely on reports from observant citizens and benefit from time savings and an improved maintenance process.

Markings drawn on the road (such as arrows, turn only lane signs, speed limits, etc.) can be identified for a complete overview.