Quality – BAIC

Seidor – ARIM – Autonomous Robotic Sea-Floor Infrastructure

Seidor – ARIM – Autonomous Robotic Sea-Floor Infrastructure Seidor Sector: Industry Business Case Within the scope of a European project, Deusto SEIDOR is responsible for developing artificial vision software to detect, classify, and automatically count benthopelagic species (those living near the bottom) from images captured by aquatic observatories (LoVe Observatory), and autonomous aquatic robots (crawlers). […]

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FAGOR Arrasate – Anomaly Detection in Servo Drives

Quality / Iñaki Suarez

FAGOR Arrasate – Anomaly Detection in Servo Drives FAGOR Arrasate Sector: Industry Business Case At times, the drives in our automation systems deteriorate due to factors like wear, loosening, or changing working conditions. The objective of this project is to establish proper operational cycles based on performance data and identify any unusual cycles. Objectives Identify

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Ayesa – Anomaly detection in cybersecurity attacks in industrial environments using quantum algorithms.

Quality / Iñaki Suarez

Ayesa – Anomaly detection in cybersecurity attacks in industrial environments using quantum algorithms. Ayesa Sector: ICT Business Case Detection of anomalous behaviour in industrial safety systems as critical systems. How can we reduce training times and volumes of current unsupervised systems? How can we reduce the detection latency of possible attacks by improving the sensitivity

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Ceit – Automated disassembly system for recovery of critical materials

Quality / Iñaki Suarez

Ceit – Automated disassembly system for recovery of critical materials Ceit Sector: Industry Business Case Robotic assembly tasks are well established in industry, but automated disassembly is not. There is a lack of automation in this process and it has been identified as one of the great environmental and technological challenges of the next decade.

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Gestamp – Artificial Intelligence for Image-Based Weld Defect Detection

Quality / Iñaki Suarez

Gestamp – Artificial Intelligence for Image-Based Weld Defect Detection Gestamp Sector: Industry Business Case Project defined to develop an algorithm that, based on weld bead images available from existing weld bead scanning systems (e.g., Mapvision, SmartRay), will be trained to classify defect type, and those defects will be correlated with process data. Objectives Automatic signal

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Ikerlan – MLOps for Distributed Training of Quality Control ML Models

Quality / Iñaki Suarez

Ikerlan – MLOps for Distributed Training of Quality Control ML Models Ikerlan Sector: Industry Business Case Recently, the company has developed various artificial intelligence models for its core operations. However, it recognises the necessity of creating a platform to oversee model quality in production and facilitate distributed training for the production lines it deploys at

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Petronor – Promise, Improving Machine Reliability

Quality / Iñaki Suarez

Petronor – Promise, Improving Machine Reliability Petronor Sector: Industry Business Case Improvement of machine and process reliability through the application of models for defect diagnosis and prognosis. Objectives Increase device life and minimise unplanned downtime. Improve security. Use case Creation of diagnostic and prognostic algorithms. Design of an algorithm that measures asset health footprint and

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SEIDOR – ARIM – Autonomous Robotic Sea-Floor Infrastructure

Quality / Iñaki Suarez

SEIDOR – ARIM – Autonomous Robotic Sea-Floor Infrastructure SEIDOR Sector: Industry Business Case Within the scope of a European project, Deusto SEIDOR is responsible for developing artificial vision software to detect, classify, and automatically count benthopelagic species (those living near the bottom) from images captured by aquatic observatories (LoVe Observatory), and autonomous aquatic robots (crawlers).

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Tecnalia – WTURBO Wind Turbine Power Train Digital Twin

Quality / Iñaki Suarez

Tecnalia – WTURBO Wind Turbine Power Train Digital Twin Tecnalia Sector: Energy Business Case Operation and maintenance (O&M) costs represent 25 to 35% of the LCOE (levelised cost of energy) of wind turbines. Corrective maintenance is responsible for 30 to 60% of O&M costs. This challenge involves developing a digital twin for the electrical components

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Tekniker – Detection of hazardous elements in scrap yards

Quality / Iñaki Suarez

Tekniker – Detection of hazardous elements in scrap yards Tekniker Sector: Industry Business Case Inspection of the scrap received is performed visually by scrap yard personnel, once deposited, which requires a significant investment of time and is prone to subjectivity. This means that the presence of dangerous items or the non-compliance with the dimensional criteria

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