OMA - Optimization of irregular surfaces yield using computer vision

• Unité de recherche: INNOSUISSE
• Numéro de projet: 18369.1 PFES-ES
• Titre du projet anglais: OMA - Optimization of irregular surfaces yield using computer vision

Description succincte (Allemand)

OMA - Optimization of irregular surfaces yield using computer vision

Description succincte (Anglais)

OMA - Optimization of irregular surfaces yield using computer vision

Résumé des résultats (Abstract) (Allemand)

OMA Project aims at automatically detecting and analyzing defects on irregular leather surfaces, recording them and generating an optimal cutting plan given specific shapes and specifications - so as to avoid the randomness and subjectivity of a human analysis and nesting, with a fragmented vision. Some nesting algorithms already exist, but only for smooth surfaces and with a manual defect input. The potential gain by optimizing the use of these surfaces is enormous.

Résumé des résultats (Abstract) (Anglais)