Executive summary

CAMARIA develops a cost-effective predictive maintenance tool, based on 3D cameras mounted on road supervision vehicles, and AI modules to detect defficiencies on the road surface and identify road signs.
It learns from the visual inputs to (i) estimate the future degradation of the road, and (ii) create an updated inventory of every type of road sign using a hierarchical approach.

Keywords:

  • Predictive maintenance.
  • 3D cameras.
  • Deep learning.
  • Road sign identification.

Funded by: