http://www.tu-ilmenau.de

Logo TU Ilmenau


QualiMess


headerphoto QualiMess
Contact Person

Dr.-Ing. Maik Rosenberger

Phone 03677 69-3961

Send email

You are here

INHALTE

Research Profile

Project short overview (facts)

  • Division in five subranges
  • 7 employees
  • Project term 5 years
  • Start: 01/04/08
  • BMBF-Initative Innoprofile "Entrepreneurial Regions"
  • Cooperation with industrial partners
  • Annual Workshop

Project short overview (material)

  • Co-ordinate measuring maschine F25
  • Flat white light interferometer
  • High-frequency oscilloscope (3.5 GHz)
  • Different laser illumination
  • Frequency generators
  • Xilinx-FPGA technology (Spartan, Virtex)
  • Zeemax EE (optics design programme – Ray Tracing model)
  • Multi-processor-system
  • Different color cameras and monochrome cameras

Increase of the level of automation

  • Automatic setting the system determining parameter
  • Automated commissioning and servicing functions
  • Automatic parameterization of the edge place regulation and intelligent property recognition
  • Reduction of the measuring uncertainty and self calibration
  • Standardized hard and software interfaces
  • Machine machine communication

Entire use of the color information and spectral information for measuring and recognition assignments

  • Suitability of color information about the differentiation of the measuring property of the surroundings
  • Realization of the measuring assignments which are not solvable with grey value image processing
  • Adaptive evaluation of the color canals
  • Color and spectral image algorithms
  • Improvement of the man-machine communication by color information

Merger of recognition algorithms and measuring algorithms

  • Shape and orientation identification to the fully automatic capture of measuring properties
  • Automatic recognition and classification of measuring properties
  • Interpretation of the picture admission canal to the fulfillment of measuring functions and recognition functions
  • To knowledge-based procedures for the increase of the recognition council

Design and simulation of robust system solutions

  • Creation of theoretical bases for the measurement uncertainty of image processing technology
  • Automatic adaptation of camera and lighting functions
  • Error suppression with incident light
  • Automatic reaction on unexpected reflexions
  • Increase of the measurement information quality by synchronised multi sensor systems and lighting systems

Performance and speed optimisation by use of camera internal intelligence

  • Bottleneck analysis and separation of camera-based functions based on PC (FPGA/DSP)
  • Optimization of distributed image processing systems
  • Automation of the distribution of picture processing routines in multi-processor-systems