PRESIAV will develop a novel advanced artificial vision predictive system for measuring and correcting the dispersion between posts
• This cyber-physical system will allow the measurement of position dispersion in the x, y, z axes of bodies, ensuring the reliability of the positioning as it passes from station to station on the production line. • This system will reduce operating costs by 20% and improve productivity thanks to the optimization in design and […]
SALTO will develop an innovative reconfigurable robotic manufacturing system using laser technology for textile cutting – IN852A 2016/29
• This laser cutting system will allow the automation of highly deformable decorated fabric cutting for short production runs. • Framed in the ConectaPEME 2016 Program, the project consortium is led by SELMARK and complete the companies SYSPRO, UNIMATE and ENXENIA. AIMEN participates as a collaborating entity. • This new solution will reduce the cycle […]
• ENXENIA participates in the LOGYNAMICS project, which aims to develop affordable ICT solutions for SMEs in order to solve the most important limitations in the logistics sector in terms of picking/putting operations and the optimization of the organization and management of warehouses.
DEVELOPMENT OF AN AUTONOMOUS INSPECTION SYSTEM FOR THE DETECTION OF IMPERFECTIONS IN THE AUTOMOTIVE SECTOR
MACHINERY 4.0 PROGRAM – IGAPE 2020 This project is the development of an automated and intelligent quality inspection system for the detection of surface quality imperfections in vehicle bodies in OEM assembly lines, based on artificial vision technologies and neural networks with which it has been sought to minimize vehicle inspection costs, reduce non-conformities, improve […]
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