Extraction of Street Signs

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Data collection through mobile mapping

Many cities and communities now collect mobile mapping data for large areas. Most of them are 360 ° panoramas along the road network, recorded by several cameras mounted on a vehicle.

The uses of the recordings are varied, e.g. the detection of road damage or the cataloging of light poles. However, while data acquisition is already largely automated, there is a lack of automated methods for evaluating the myriad of images – especially with regard to data protection.

Analyzed with Tama Group methodology

To drive the automated analysis of collected data and transform it into actionable information, Tama Group offers a road sign extraction and tag anonymization product. Street signs are analyzed with regard to their type and position and the images in the area of the license plates are automatically pixelated. Furthermore, interactive intervention is possible to adapt, add or remove objects.

Enormous acceleration through semi-automatic machining

The basic procedure is divided into the areas pre-processing, verification of the found candidates, anonymization of the license plates, sign type recognition, verification of the recognized types as well as the final export.

Overall, the Tama Mobile Mapping Analyst is designed to dramatically speed up the procession of countless images, and thus optimizing them for on-going use.