PSA Cathedra
Updated: 13 May 2015 - 12:31am by M.A. Salichs
Start:1998 / End:2008
Principal investigator: Miguel A. Salichs
Funder: 
PSA Peugeot Citroen
Analyse d'aspect automatique

The PSA Peugeot Citröen collaboration goal is focused on two lines: teaching duties and a general technical support. Nowdays, colaboration is especified in the project Analyse d'Aspect Automatique, consisting of an automatic classifier of defects.

The PSA Peugeot Citröen collaboration goal is to build an automatic classification and quantification system to detect the defects on the metal panels as consequence of the stamping process. Currently, this classification is done the direct observation of the pieces. The final goal is to obtain a classification that is similar, as much as possible, to the one obtained by demerit.

The complete process starts in the image adquisition from the metal panels and leads to the defect classification.
image

Our work is organized as follows:

- Step 1: Study of the objective and possibilities analysis
- Step 2: Construction of a software to analysis pictures
- Step 3 Validation of the software?s performance
o In terms of localization and determination of the geometrical parameters
o In terms of capability to organize detected defaults in a hierarchy and define a criterium of quality.
- Step 4: Semi industrial validation (test with a large range of parts)
- Step 5: Industrial unfurl
- Step 6: Production use
The PSA Peugeot Citröen collaboration goal is to build an automatic classification and quantification system to detect the defects on the metal panels as consequence of the stamping process. Currently, this classification is done the direct observation of the pieces. The final goal is to obtain a classification that is similar, as much as possible, to the one obtained by demerit.

The complete process starts in the image adquisition from the metal panels and leads to the defect classification.
image

Our work is organized as follows:

- Step 1: Study of the objective and possibilities analysis
- Step 2: Construction of a software to analysis pictures
- Step 3 Validation of the software?s performance
o In terms of localization and determination of the geometrical parameters
o In terms of capability to organize detected defaults in a hierarchy and define a criterium of quality.
- Step 4: Semi industrial validation (test with a large range of parts)
- Step 5: Industrial unfurl
- Step 6: Production use

Journal Publications

Conference Publications

Patents

Books

Doctoral Thesis