Objetivo The aim of this project is to develop a vision-based online inspection system to detect faults in manufactured parts immediately after their machining and assembly. Manual inspection methods are slow and can normally only be performed on a random sampling basis. With automated production lines it is necessary to determine, at each critical step of the manufacturing process, whether parts have been manufactured correctly. Automated inspection will increase production rates and lead to substantial savings in material and labour. Classical inspection methods compare a reference part with the set of parts to be evaluated. The approach taken in this project is to compare the image from an online vision system with an image derived from the data stored in the CAD system. To provide sufficient resolution it is necessary to move the sensor to scan the full extent of large workpieces. The 3-D data stored in the CAD system will be rasterised in a 2-D projection corresponding to the angle of view of the sensor and to the processed real image content. The system is expected to have considerable potential within the inspection systems market, which is forecast to constitute a substantial proportion of the machine-tool market. Applications are particularly expected in the automotive and aerospace industries, but there may also be applications in fields which do not currently use online inspection methods, such as the textile industry. Some of the system components (eg image processing and 2-D and 3-D pattern-recognition software) are expected to be exploited as products in their own right. Ámbito científico natural sciencescomputer and information sciencessoftwareengineering and technologymechanical engineeringmanufacturing engineeringsubtractive manufacturingengineering and technologymaterials engineeringtextilesengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors Programa(s) FP2-ESPRIT 2 - European strategic programme (EEC) for research and development in information technologies (ESPRIT), 1987-1992 Tema(s) Data not available Convocatoria de propuestas Data not available Régimen de financiación Data not available Coordinador Université de Strasbourg I (Université Louis Pasteur) Aportación de la UE Sin datos Dirección 7 rue de l'Université 67000 Strasbourg Francia Ver en el mapa Coste total Sin datos Participantes (4) Ordenar alfabéticamente Ordenar por aportación de la UE Ampliar todo Contraer todo Caption Francia Aportación de la UE Sin datos Dirección 23 rue du Bignon Zone Industrielle Sud Est 35135 Chantepie Ver en el mapa Coste total Sin datos Fraunhofer-Gesellschaft zur Förderung der Angewandten Forschung eV (FhG) Alemania Aportación de la UE Sin datos Dirección Sebastian-Kneipp-Straße 12-14 76131 Karlsruhe Ver en el mapa Coste total Sin datos Speroni SpA Italia Aportación de la UE Sin datos Dirección Via Po 7 27010 Sostegno di Spessa Po Ver en el mapa Coste total Sin datos Universität Fridericana Karlsruhe (Technische Hochschule) Alemania Aportación de la UE Sin datos Dirección Kaiserstraße 12 76128 Karlsruhe Ver en el mapa Coste total Sin datos