Tekox — Machine vision and machine learning for quality control Machine vision applied for quality control and defect identification in mass production The Poka-Yoke Digital project (Research and development of an intelligent system based on artificial vision and automatic learning to automate the visual control of all manufactured parts and identify defects in real time)…
SEM — Artificial vision for risk prevention and safety Prevention and safety in industrial installations through the use of artificial vision The Smart Crane II project is focused on improving the safety of overhead cranes, by coupling them with artificial vision systems. The aim is to innovate in the area of risk prevention, minimising possible…
Gonvarri Industries MS R&D — Machine vision and deep learning for quality control Low-cost system for the automation of surface inspection using new machine vision and deep learning techniques What issues are being addressed or improved? Gonvarri MS R&D needed to improve the detection of surface defects on steel plates on the pickling line at…
Couto Industrial — Immersive digital twin About Couto Industrial Founded in November 2001 by Rafael Couto on the basis of his long and successful experience in the sector and thanks to the trust placed in him by his customers, Couto Industrial has become a large family company in which two generations coexist. The…
Mobile infrastructure, made up of 8 virtual reality units with digital twins in the Industri4 Lab demo unit and Well-being and Active Ageing Laboratory.
The centre is built on a plot with a gross floor area of 17,000 m2, including an office and laboratory building.
Laboratory composed of various models of virtual, augmented and mixed reality
glasses, systems to allow the user to simulate movement through the generated
virtual environment, and the necessary computer equipment.
Robotic cell consisting of a KUKA KR500 robot with 7 degrees of freedom
and a payload capacity of up to 500 kg.
Scientific-technological infrastructure used as a platform for experimentation
and validation of R&D projects within Industry 4.0.
Pilot plant with a gross floor area of 1,000 metres that simulates the environment
in a standard food industry. It includes the main units and simulates all areas,
work flows and work processes.
