Open Call Experiment

Content with tag ai regio .

In the world of machining, the chip removal tool is a critical point for efficiency at work, as well as for the balance of production costs. A poorly chosen tool can slow down times, increase...
Artificial Intelligence (AI) can be seen as a natural enabler for industry 4.0. Thanks to the use of sensors and the digitalization of the manufacturing systems, more and more data is generated. If...
The overall goal of the experiment is to develop an AI real-time early warning system to detect defects during the last stage of our drone manufacturing process: the validation flights. The...
AI-based manufacturing analytics applications provide an enormous potential towards more efficient production in terms of reduced scrap, reduced rework, increased overall production efficiency,...
European manufacturing is at the centre of a twin ecological and digital transition, being both driver and subject to these changes. At the same time, manufacturing companies must maintain...
Digital twin of an injection moulding process is a total solution predicting supply chain, production cycle, needed maintenance, workforce management, etc. Data gathering from the machine and the...
The company operates in the extrusion industry and produces 300 dies per day. We are approaching the production of a die for our customer; therefore we access the database where around about...
Built Data Spaces for Manufacturing
: Main project objective, but significantly important to be specified. Objective is R&D specification for data pipeline for AI implementation with focus as a...
The aim is the economic and resilient automation of unproductive secondary tasks in textile production in Germany and Europe. In Germany, 141,000 people are employed in textile production, in...
The project aims at extending the AI4EU platform with an “executable” asset named AQUILA System, useful to automate Quality Inspection (QI) of industrial products, in particular electrical panels....
Due to the ongoing digitalization, more and more IT systems are being used for manufacturing planning, control and quality assurance processes. Over time, these systems reach deeper and deeper in...
Current manufacturing platforms rely heavily on quality inspection at the end of the production line, where up to 100% of the parts will be fully checked, especially for high-end products. This...
The application of Artificial Intelligence (AI) in production is an emerging development field but the following needs to be answered: (i) how can AI algorithms be used to solve real-world problems...
There is an ever increasing (market) pressure on manufacturing SMEs in EU to be in the same time very competitive and also eco-friendly. In the domain of manufacturing PET products this aspect is...
The overall objective of the experiment is to develop an AI based 3D metal printing quality forecast tool that predicts possible manufacturing defects on selective laser melting machines.
The...
Holding a large market share in the Balkan peninsula in the domain of offset printing, Pressious (PRES) is exhibiting a significant environmental footprint, since its manufacturing process involves...
The MAINSTREAM experiment will address the following main objective: to design, build and deliver a highly flexible, available, and resilient manufacturing platform capable to accommodate the...
The AI4CNC experiment aims at building a CNC manufacturing data space for TEKNOPAR’s one of the CNC facilities in İzmir, where 3 CNCs are used to produce metal hydraulic blocks and cylinders. The...
This Experiment proposes the development of an acoustic AI tool that is able to detect the incomplete connection of electrical click-type plugs. This click-detection AI tool will be implemented...
During the manufacturing process of solar panels various defects can arise with the most common defects arising every 250 to 500 solar panels. These defects can significantly impact the efficiency...