Objective The main goal of DynaVis is the development of machine learning methods for embedded machine vision systems in production and manufacturing to achieve dynamically reconfigurable systems.Inspection of products by machine vision often has to solve the problem of how to implement a human decision-making process in software. Currently, this requires a step-by-step reprogramming or parameterisation of the software, which may last for several months until satisfying results are obtained. The results of DynaVis will enable us to use Human-machine cooperation to learn complicated inspection tasks instead of set-by-step improvements and adaptations of software.The project is foused on the development of "trainable" machine vision algorithms and of appropriate machine learning techniques. In order to create such methods we will focus on the following scientific objectives:(1) machine learning methods for processing the complicated data produced by the vision system.(2) methods to deal with multiple, possibly contradictory input by the operators.(3) methods for predicting success or failure of the learning process in early stages of the training process.The project contributes to the objectives of the call by developing a new way how reconfigurability in automated systems can be achieved. In the case of DynaVis these are embedded machine vision systems such as smart cameras. The project involves advanced control such as fuzzy methods and neural networks. The goal is to use human-machine cooperation and machine learning to dynamically adapt the vision system to the operator's decisions.The project involves key players in the field of machine learning with a particular focus on machine vision. Companies from the machine vision industry and end-users from various fields complement the consortium. Special attention is given to the dissemination of results to SMEs. Fields of science natural sciencescomputer and information sciencessoftwareengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensorsnatural sciencescomputer and information sciencesartificial intelligencecomputer visionnatural sciencescomputer and information sciencesartificial intelligencemachine learningnatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programme(s) FP6-NMP - Nanotechnologies and nanosciences, knowledge-based multifunctional materials and new production processes and devices: thematic priority 3 under the 'Focusing and integrating community research' of the 'Integrating and strengthening the European Research Area' specific programme 2002-2006. Topic(s) NMP-2004-IST-NMP-1 - Integrating Technologies for the Fast and Flexible Manufacturing Enterprise Call for proposal FP6-2004-IST-NMP-2 See other projects for this call Funding Scheme STREP - Specific Targeted Research Project Coordinator PROFACTOR PRODUKTIONSFORSCHUNGS GMBH EU contribution No data Address Im Stadtgut A2 STEYR-GLEINK Austria See on map Links Website Opens in new window Total cost No data Participants (7) Sort alphabetically Sort by EU Contribution Expand all Collapse all KATHOLIEKE UNIVERSITEIT LEUVEN Belgium EU contribution No data Address Oude Markt 13 LEUVEN See on map Links Website Opens in new window Total cost No data UNIVERSITY OF THE WEST OF ENGLAND, BRISTOL United Kingdom EU contribution No data Address Coldharbour Lane, Frenchay Campus BRISTOL See on map Links Website Opens in new window Total cost No data JOHANNES KEPLER UNIVERSITAET LINZ Austria EU contribution No data Address Altenbergerstrasse 69 LINZ See on map Links Website Opens in new window Total cost No data SONY DADC AUSTRIA AG Austria EU contribution No data Address Sonystrasse 20 ANIF See on map Links Website Opens in new window Total cost No data ASENTICS GMBH & CO. KG Germany EU contribution No data Address Birlenbacher Strasse 19-21 SIEGEN See on map Links Website Opens in new window Total cost No data THE EUROPEAN ASSOCIATION OF INNOVATING SMES United Kingdom EU contribution No data Address 7 Granard Business Centre, Bunns Lane, Mill Hill LONDON See on map Links Website Opens in new window Total cost No data ATLAS COPCO AIRPOWER NV Belgium EU contribution No data Address Boomse Steenweg 957 WILRIJK See on map Links Website Opens in new window Total cost No data