Skip to main content

VIMAX PROJECT

Factor is leading VIMAX, a research and development project aimed at creating an advanced in-line metrology system capable of measuring complex mechanical parts directly alongside the manufacturing process, with micrometric precision and without disrupting the production rate.

The solution will combine 3D machine vision, three-dimensional reconstruction, artificial intelligence, robotics, and industrial automation to move towards a faster, more accurate quality control model that is fully integrated with production.

The project is being carried out under the 2024 call for Strategic Cooperation Projects of the Valencian Innovation Agency, now IVACE+i Innovation, and is funded by the Generalitat Valenciana and the European Union.

VIMAX brings together a Valencian consortium coordinated by Factor, with the participation of the University Institute of Automation and Industrial Informatics (AI2) at the Universitat Politècnica de València, AGFRA, S.L., and Photonic Sensors & Algorithms, S.L.

Industry Challenges

The manufacture of industrial components requires working with increasingly complex parts and very tight dimensional tolerances. However, many quality control processes are still carried out off the production line, using manual procedures or inspections based on a limited sample of the units manufactured.

This can delay the detection of deviations. When a defect is identified after several units have already been produced, it can lead to rejected parts, rework, production downtime, and unnecessary consumption of materials and energy.

VIMAX seeks to bring advanced metrology directly into the manufacturing process, moving from manual, offline, and sample-based checks toward automated inspection capable of verifying 100% of the parts produced and detecting potential deviations at an early stage.

Technological Innovation

VIMAX is not merely focused on developing a new camera or a standalone measuring device. The project is centred on a comprehensive inspection system in which different technologies work together in a coordinated manner.

The solution is based on three main elements:

  • A high-precision 3D multi-camera vision system, whose cameras, developed by PHOTONICSENS, simultaneously capture image and depth data. The project is investigating ways to improve their accuracy and determine the optimal configuration.
  • Advanced reconstruction, measurement, and analysis software, incorporating AI, which will reconstruct the part’s three-dimensional geometry and calculate its dimensions for comparison with the reference model and previously established tolerances. The system will identify dimensions that fall outside tolerance and display the results through a graphical interface and deviation maps.
  • An automated inspection station, supported by collaborative robotics, to position and manipulate parts and coordinate the measurement process.

The integration of these technologies —advanced photonics, 3D machine vision, geometric analysis software, robotics, and industrial automation— will enable the automation of data capture, part positioning, data processing, and the generation of inspection results.

The system will be validated to verify its accuracy, robustness, and repeatability, as well as its ability to meet the requirements of an industrial production process.

Key Aspects of the Project

VIMAX is structured around five main pillars:

  • High-precision in-line metrology, designed to inspect parts with micrometric tolerances directly alongside the manufacturing process.
  • 100% production inspection, moving from sample-based inspection to the verification of one part per production cycle.
  • 3D reconstruction and analysis, using algorithms capable of processing the information captured by cameras, generating three-dimensional models, and comparing the measured dimensions against the defined tolerances.
  • Measurement of complex geometries, including external and internal dimensions, and avoiding, whenever possible, destructive operations such as cutting the part to verify internal dimensions.
  • Automated inspection, using an autonomous station with a collaborative robot or industrial automation system to position the parts and coordinate their measurement.

Factor’s Role

As the project coordinator, Factor brings its expertise in industrialization, CNC machining, and the manufacture of high-precision metal parts.

The company participates in selecting the parts and geometries to be studied, defining industrial requirements, and adapting the technological developments to the actual needs of manufacturing processes.

Factor will also lead the validation of the VIMAX prototype, providing the pilot environment and its industrial expertise to configure the system, conduct functional tests, and evaluate its potential integration into a production environment.

This participation connects the consortium’s scientific and technological expertise with the real-world needs of production, quality control, and industrial metrology, helping to ensure that the final result is useful, scalable, and capable of evolving into a commercially viable solution.

Impact on the industrial Sector

VIMAX aims to advance towards a new generation of dimensional quality control, capable of identifying deviations at earlier stages of the production process and generating information associated with each manufactured part.

Having access to this data will improve process traceability, enable the analysis of trends and incidents, while providing more information to optimize manufacturing conditions.

In-line inspection can also help reduce defective parts, rework, and inspection times, as well as improve the use of materials, energy, and production resources.

The future implementation of these solutions may be particularly relevant for companies working with high-precision components in sectors such as industrial machinery, automotive, electronics, aerospace, defence, and healthcare.

With VIMAX, Factor reinforces its commitment to advanced manufacturing and the development of technologies aimed at creating a more precise, efficient, and competitive industry.

  • Hits: 163

AICONFORM PROJECT

AI CONFORM (Agentic Framework for Automated Regulatory Compliance) is a European project aimed at developing an automated framework to support the regulatory compliance of artificial intelligence systems in the European Union.

The initiative, led by the Greek Ministry of Digital Governance, addresses the growing regulatory complexity associated with the AI Act, the NIS2 Directive, and the eIDAS 2.0 Regulation.

AUTOMATION OF REGULATORY COMPLIANCE

AI CONFORM proposes an innovative architecture based on intelligent agents, legal knowledge graphs, and natural language processing techniques.

These technologies will transform complex regulatory requirements into automated, executable checks, with the aim of significantly reducing the administrative burden and the time devoted to compliance processes and reporting.

The project will also integrate advanced privacy technologies and trust services, such as encryption and digital signatures, to ensure the legal validity and traceability of information.

VALIDATION IN A REAL-WORLD INDUSTRIAL ENVIRONMENT

Within AI CONFORM, Factor is leading the manufacturing pilot and will validate innovative AI-based solutions in a real-world environment to automate regulatory compliance in production processes.

Through this pilot, Factor will contribute to the development of safer, more traceable manufacturing aligned with European regulations.

A MULTIDISCIPLINARY EUROPEAN CONSORTIUM

AI CONFORM brings together leading European organisations in the fields of artificial intelligence, regulation, and digital transformation.

Participating organisations include the Greek Ministry of Digital Governance, which coordinates the project and is responsible for a public-sector pilot; UBITECH Limited, from Cyprus, as technical lead; InfoCert S.p.A., from Italy; Semantic Web Company, from Austria; AppliedAI Institute, from Germany; MetaMinds Innovations, from Greece; Sandetel, responsible for a public-sector pilot; and Voltiva Energy, responsible for the energy-sector pilot, together with other European partners specialising in these fields.

IMPACT ON INDUSTRY

AI CONFORM will help position European industry to address the challenges arising from the AI Act through solutions aimed at automating the regulatory compliance of artificial intelligence systems.

Through its participation in the project, Factor is advancing the responsible application of artificial intelligence and the development of safer, more traceable manufacturing aligned with European regulations.

  • Hits: 444

PROYECTO SMART MACHINE

Factor is participating in the Smart Machine project, an initiative funded by the Valencian Agency for Innovation (AVI) - IVACE+i Innovation, whose goal is to develop an advanced interoperability platform that enables smart and seamless communication between people and machines in industrial settings.

The initiative aligns with the Industry 5.0 paradigm and addresses the growing need to integrate heterogeneous systems, improve production efficiency, enhance workplace safety, and promote sustainable operations.

Smart Machine is being developed within a consortium coordinated by SOTHIS Servicios Tecnológicos SLU and comprising NUNSYS SA, JIX Food Solutions SL, Robotnik Automation SL, DYMSA Ingeniería SL, and Factor.

Industry Challenges

The industrial sector faces a structural problem: the coexistence of multiple protocols and systems that hinder integration and the efficient exchange of data. To overcome this fragmentation, Smart Machine is committed to adopting the open Sparkplug standard, which standardizes communication between industrial assets and enables device auto-discovery, bidirectional data flow, and real-time analysis.

This technological foundation facilitates the connection between operational systems (OT) and business systems (IT), creating a more coherent, connected, and efficient industrial architecture.

Technological innovation

One of the most innovative elements is the development of advanced human-machine interfaces based on augmented reality and natural language.

These interfaces will allow operators to interact with machines and systems using voice commands and contextual information displays. The goal is to reduce technical complexity and the learning curve.

The use of augmented reality glasses will provide immediate access to operational data, instructions, and safety alerts directly in the worker’s field of view, improving efficiency, ergonomics, and safety.

The project also integrates generative artificial intelligence and intelligent agents capable of interpreting natural language, analyzing industrial data, and facilitating decision-making. Through intelligent assistants, operators will be able to check machine statuses, execute complex actions, or analyze process variables using conversational instructions.

The incorporation of neuro-symbolic models and continuous learning will enable the identification of cause-and-effect relationships in industrial processes and progressively improve the accuracy of the system’s responses.

Project Highlights

Smart Machine se articula sobre cinco ejes clave:

  • Create a universal interoperability platform capable of integrating legacy equipment and new technologies.
  • Introducing natural and intuitive human-machine communication centered on the user.
  • Incorporating advanced AI and augmented analytics to optimize processes and anticipate incidents.
  • Promoting industrial sustainability by optimizing energy consumption and reducing the environmental footprint.
  • Facilitating regulatory compliance and improving workplace safety.

Impact on the industrial sector

The outcome of Smart Machine will be a smart, connected, and sustainable industrial ecosystem that will improve productivity, reduce costs, and boost business competitiveness. Furthermore, the model is scalable and adaptable to different sectors, which facilitates its transfer to the market and its impact on the digital transformation of the industrial sector.

Smart Machine contributes to the evolution toward more human-centered, efficient, and sustainable factories, where collaboration between people and technology becomes a strategic element of industrial innovation.

  • Hits: 1036

MaaSAI PROJECT

FACTOR is leading the transformation of the manufacturing industry through its participation in the MaaSAI project, driving a new Manufacturing as a Service (MaaS) ecosystem. This model integrates autonomous agents based on Artificial Intelligence, Industry 4.0 technologies and a MaaS Cloud Marketplace (CMM), with the aim of increasing flexibility, optimizing production and reducing costs in the metal parts machining sector.

Industry challenges

The metal machining sector faces significant challenges: high maintenance and machine optimization costs; difficulties in scaling production; limited access to predictive maintenance and process control technologies; and the need to adapt quickly to changing demands, all while maintaining the required quality standards.
MaaSAI responds to these challenges through real-time monitoring of machine performance, AI-assisted decision making and agile collaboration between manufacturers.
Specifically, FACTOR is leading Pilot 1, implementing a new methodology for Metal Parts Manufacturing as a Service. This pilot includes:

  • Implementation of autonomous monitoring cells, with IoT sensors to track machine availability, performance and quality control.
  • Advanced analytics using AI to assess Overall Equipment Efficiency (OEE) and suggest automatic improvements.
  • Creation of a secure, data-driven MaaS network, enabling efficient collaboration between Mother Factories and Daughter Factories (factories and suppliers).
  • Optimization of intelligent planning and scheduling through AI-driven MaaS Consumer Agents and Suppliers.

Results and momentum towards the industry of the future

FACTOR expects to achieve significant operational cost reduction, increased production scalability, real-time performance monitoring, intelligent decision making and more efficient industry-wide integration. With the MaaSAI project, FACTOR is driving a paradigm shift in industry, combining AI, IoT and cloud technologies to build a more sustainable, connected and agile manufacturing ecosystem.

  • Hits: 2202

MANTRA Project

PROJECT COMPLETED

FACTOR, in collaboration with the Instituto Tecnológico de Informática (ITI), leads MANTRA (Mixed-Reality Augmented Networks for Teleoperated Robotics Applications), a pioneering initiative that seeks to revolutionize industrial robotics through advanced telepresence and remote control solutions. It combines cutting-edge technologies such as Mixed Reality (MR), 5G connectivity and Wi-Fi interoperability, in order to create safer and more efficient environments in industrial operations where human presence poses a risk.

The initiative is part of the European SPIRIT project, which through an open call selected pilot proposals capable of validating emerging technologies in real industrial environments.

Immersive telepresence for safer control

MANTRA introduces Mixed Reality interfaces with multimodal feedback (haptic, visual and auditory), enabling operators to control robots remotely and intuitively, reducing risk exposure and improving safety.

Connectivity between 5G and Wi-Fi networks, combined with data processing at the edge of the network (edge computing), ensures a seamless, real-time experience tailored to highly demanding industrial environments.

Real impact on industry

In addition to facilitating the execution of complex tasks without direct intervention, MANTRA improves production continuity, operational accuracy and overall process efficiency. It also opens up new opportunities in technical training and remote assistance, allowing operators to be trained in realistic virtual environments.

MANTRA is being developed and validated in real environments, from ITI's laboratories to FACTOR's production facilities, undergoing rigorous testing to assess its applicability in the industrial sector.

  • Hits: 1999