White text on a light gray background reads UMS+ in large letters, with AN EXPLEO COMPANY in smaller text below.

Increased efficiency in quality inspections through AI-supported image recognition in the automotive industry

Initial situation

  • A German car manufacturer had problems with the qualification of an image processing inspection system
  • The company found itself in a highly regulated market environment that placed strict demands on the quality of quality assurance
  • The particular challenge was that the required accuracy and speed could not be achieved due to a lack of expertise
  • As a result, there was a risk of production downtime and delivery interruptions
  • The company therefore urgently needed support in qualifying its testing system and increasing testing speed

Achievements

0,0001
Incorrect decision rate reached
0
Faster quality inspection realized
0
Weeks of testing time sustainably achieved

Our approach

  • Introduce and qualify AI-supported software solutions for evaluating the inspection system's image data:
    • Create training data sets to qualify the production processes for the global roll-out
    • Train the algorithms for different conditions required in different production facilities
  • Work with Tier 1 automotive suppliers to overcome interdisciplinary challenges during the project

Further cases

Automotive

Improvement of assembly processes through optimized development in the automotive industry

Automotive

In-line defect detection through the introduction of AI-supported inspection systems in the automotive industry

Automotive

Increasing the accuracy of quality inspections through artificial intelligence in the automotive industry

All cases

Discover more references.