Optical quality control for automotive filters

Image-processing inspection system for process control in the production of filters: Selection and configuration of hard- and software; interface definition between process control system and camera; design of application specific software and user interface; implementation of the imaging system into the production process.

PROJECT BACKGROUND

Mahle Filtersysteme Austria GmbH is a part of the MAHLE concern. MAHLE is world leader in the automotive industry for pistons, motor components and filter systems, with over 30.000 employees at 65 locations in 22 countries. Mahle Filtersysteme Austria GmbH trusts in the competence of CTR for improvement of quality control systems. At the location in Carinthia, Mahle develops and produces filter cartridges and other filter elements for the automotive industry that are used in cars and trucks. Together with the specialists of CTR, an image processing system for in-line quality control of filter fabrication has been developed. Aim of the project was to optically detect the individual filters – or structures on a filter, like an adhesives layer - to ensure full compliance with product quality requirements.

 

PROJECT CONTENT

Together with the specialists of SAL, an image processing system for in-line quality control of filter fabrication has been developed. Aim of the project was to optically detect the individual filters – or structures on a filter, like an adhesives layer - to ensure full compliance with product quality requirements.

 

SAL Service

  • Selection and configuration of hard- and software
  • Interface definition between process control system and camera
  • Design of application specific software and user interface
  • Implementation of the imaging system into the production process

PROJECT FACTS

  • Title: Optical quality control for automotive filters
  • Partner: Mahle Filtersysteme Austria GmbH
  • Duration: 3 months

SHORT DESCRIPTION

Selection and configuration of hard- and software; interface definition between process control system and camera; design of application specific software and user interface; implementation of the imaging system into the production process.