Maderas Siero is a family business that covers the entire forestry sector value chain. To improve the management of its forest areas, it decided to work with CETEMAS within the framework of Asturias Digital Innovation Hub, AsDIH. WHAT PROBLEMS ARE THEY LOOKING TO SOLVE OR IMPROVE? Most of the property consists of smallholdings, which makes…
ICUBE, advanced machine vision technologies for welding defect identification In the project «Advanced artificial vision technologies for the identification of welding defects», ICUBE received technical advice from our partner IDONIAL Technology Center. Through the services it provides within the framework of AsDIH, IDONIAL explored the use of 2D and 3D artificial vision technologies in performing…
Forestal Malleza, drones and sensors for the control of forest repopulation Forestal Malleza’s project The Asturian company Forestal Malleza requested our partner CETEMAS, within the framework of AsDIH, for advice to assess the use of drones and LiDAR data for the control of reforestation works. This service, which is already concluded and is in the…
Buhodra Ingeniería, vision technologies to identify road hazards The Buhodra Engineering project The project developed by Buhodra Ingeniería is titled “Vision technologies applied to the identification of elements in roads” and is carried out within the framework of AsDIH, together with our partner Idonial. This initiative was born with the aim of exploring the use…
Tekox — Machine vision and machine learning for quality control. Use case 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…
SEM — Artificial vision for risk prevention and safety. Use case 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,…
Gonvarri Industries MS R&D — Machine vision and deep learning for quality control. Use case 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…
Couto Industrial — Immersive digital twin. Use case 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…
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.
