Thanks to feature tracking, bundle adjustement, correlation techniques as well as point clouds and mesh fusion, imajing enables its clients to evolve in a reconstructed 3D environment of their network.
imajing is currently developing recognition algorithms to identify and characterize all traffic signs present on a linear. This process is convenient for large data volumes, where many assets have to be geo-referenced.
However, automatic recognition is not 100% reliable and can ignore or misidentify signs. Therefore, the process includes a manual quality control in order to deliver a verified database containing 100% of the traffic signs.
To preserve privacy, for images destined to public diffusion, imajing has developed an algorithm to blur faces that are visible in surveyed images.