Machine learning gives indication of soiling and damage in new vehicle logistics


One of the largest German car manufacturers was faced with the problem that damage regularly occurs during the transport of new vehicles. These must be detected as quickly as possible and repaired before delivery. Current prevention measures are not appropriate, especially with regard to sustainability, and are therefore to be abolished.


Throughout the logistics chain, drones regularly fly over the vehicles to document them with high-resolution images. With the help of machine learning methods, these images are examined for damage and contamination and appropriate measures are initiated.

Added value

  • Resilient detection of damage and contamination with over 90%
  • Reduction of repainting


  • GPU accelerated processing of 4K video footage
  • Autonomous drone flights based on GPS waypoints
  • State-of-the-art object recognition
  • Vehicle identification via QR code as a by-product
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