Mondragon Innovation | Humanity at work – Prediction of Home Delivery Activity (Last Mile Logistics)

Mondragon Innovation | Humanity at work – Prediction of Home Delivery Activity (Last Mile Logistics) Mondragon Innovation | Humanity at work  Sector: Commercial sector Business Case The number of orders to be delivered to customers’ homes is not homogeneous and fluctuates due to internal and external variables. Tailoring the sizing to the unique requirements of […]

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Petronor – Soft Sensors

Petronor – Soft Sensors Petronor  Sector: Energy Business Case Determining process stream properties, such as pentanes in LPG streams or naphtha vapour pressure. Objectives Obtaining real-time values of the quality of intermediate and final products to: 1) optimise production and 2) minimise consumption associated with rework or corrective actions with little time margin. Use case

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SEIDOR – Deep Brain

SEIDOR – Deep Brain SEIDOR  Sector: Health Business Case Automatic brain anatomical substructure segmentation tools and holographic visualisation for diagnostic aid and decision support. Objectives The main objective is to create tools to support clinicians in the diagnosis, treatment and prognosis of brain diseases in which medical imaging is a criterion of great importance for

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Ikerlan – MLOps for Distributed Training of Quality Control ML Models

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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ITP Aero – Automatic X-Ray Defect Detection

ITP Aero – Automatic X-Ray Defect Detection ITP Aero  Sector: Industry Business Case X-ray-based inspection processes are very relevant for detecting quality problems. The aim is to build a system capable of assisting inspectors in the detection of defects present in the parts. Objectives Improve capability (sizes detected, probability) and efficiency (time required) in defect

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Grupo Lanit – Real-time monitoring of systems and services

Grupo Lanit – Real-time monitoring of systems and services Grupo Lanit  Sector: Energy Business Case Energy company identifies the need for a real-time monitoring system for its commercial system and the services offered to customers, both internal and external (supply), in order to have total control and be able to react immediately in the event

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Mondragon Innovation | Humanity at work – Detection of Anomalies in Components of Repetitive Part Production Machine Tools

Mondragon Innovation | Humanity at work – Detection of Anomalies in Components of Repetitive Part Production Machine Tools Mondragon Innovation | Humanity at work  Sector: Industry Business Case The LG400 grinding machine performs the machining of large batches of repetitive parts in an automotive company. The machine is connected and sending data related to its

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Mondragon Innovation | Humanity at work – Detection of Cutting Tool Breakage in Machining from Vibration Signals with Artificial Intelligence Techniques

Mondragon Innovation | Humanity at work – Detection of Cutting Tool Breakage in Machining from Vibration Signals with Artificial Intelligence Techniques Mondragon Innovation | Humanity at work  Sector: Industry Business Case Milling cutter tooth breakage in long unattended machining processes can affect the quality of the resulting part and not be detected until it is

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Petronor – Promise, Improving Machine Reliability

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

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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