Copyright: ThalesSource : Thales


AI x Quality control

This challenge is over, applications are closed

Challenge Overview

Description du challenge

Control activities carried out manually are becoming more and more complex.The objective is to make quality control more reliable by coupling visual inspection and artificial intelligence to provide real support in detecting and anticipating non-quality in the process line but also monitor the health of the system.

Copyright: Thales
Copyright: Thales
Copyright: Thales
Copyright: Thales


AI-enabled start-up expert in:

  • Prescriptive and predictive maintenance
  • Computer vision
  • Synthetic data generation
  • Signal processing

Experience in:

  • The domains of image processing
  • 3D object reconstruction and comparison
  • Quality/test control
  • Maintenance prediction

Projects you could be working on

  • Secure the production line by reducing non-quality
  • Anticipate quality depreciation and optimize quality production
  • Gather quality product intelligence via customer feedback
  • Image analysis for control quality matters in satellite, sonar and radar production (detection of welding defects, labels, forgetting a screw, misalignment etc.)