Demonstrate benefits of the Digital Metrological Twin for product quality control
SMEs looking for help and support in understanding new digital technologies for validation of production quality
Validate the applicability, scalability, and adaptability of the AI-driven solution across different manufacturing processes. Demonstrate impact of the applied technology
Manufacturing companies that what to unlock potential of data to improve decision making, optimise operations, enhance machine health, with explicit attention to machine-human interaction and scalability.
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Report with Feasible Results and Evaluation
manufactures, users that want to optimize the production process
Industrial plant Provider
Digital Prototype or Feasibility or evaluation report
Hardware provider (machinery, AMR, AGV) or user
Industrial plant Provider
Deliverables: Reports with consolidated results, physical demonstration in robotic cell, performance evaluation reports
Technology providers looking to develop and validate AI-based task planning and multi-robot orchestration in dynamic environments.
End-users wanting to optimize available resources, minimize idle time, prevent bottlenecks and maximize productivity and efficiency.
Infrastracture required by customer: use case scenario, CAD files, facility layout data, operational constraints, equipment information, or existing models and algorithms
Collected and processed drive-system data relevant to the agreed optimisation task
Evaluation of drive behaviour and identification of relevant optimisation opportunities
Recommendations for improving drive configuration, operation or performance for the specified application
Where applicable, data-processing or AI-assisted decision method supporting automated optimisation or parameter selection
Technical report summarising the analysed data, identified optimisation opportunities, evaluation results and recommended actions
Manufacturers of electrical drives and industrial machinery, system integrators and industrial users operating electric-drive systems that need to analyse drive behaviour, extend available measurements or optimise system configuration and operation.
Test results/Feasability Report/Recommendation Report on Machine Vision System under test
Machine Vision System Providers, Machine Vision System Users, Computer Vision Software Providers, Computer Vision Software Users
Guide the choice of network infrastructure before investment
Demonstrate achievable performances
Machine and robot Providers Manufacturers interested in optimizing and monitoring the production process
Report with experimentation results and recommendations
AI/ML system providers or integrators for Production Systems and Industrial Manufacturing
System or component model developed or adapted for the agreed HIL testing scope
Results of system, control and integration testing under agreed operating scenarios
Identification of unexpected system behaviour, integration issues or functional limitations
Evaluation of the tested control or AI-assisted functionality against agreed requirements
Recommendations supporting further development, integration and faster prototyping
Manufacturers, automation technology providers, control-system developers and system integrators developing control software, control algorithms or AI-assisted automation functions for industrial and manufacturing systems.
Evaluation report
AGV and AMR manufacturers, Provider of indoor tracking and tracing systems
Deliverables: report describing the benefits or disadvantages of implementing the investigated scenario or report discussing the performance of the tested AI solution or demonstration of tested solution and report describing the benefits of the solution
Technology providers wanting to expand to new manfuacturing sectors / case studies, or testing the integration of AI algorithms with Digital Twins
AI end-users looking for ways to test the AI-enhanced capabilities of Digital Twins to support their production, or enhance the performance of Digital Twins that they may already have.
Deliverables: Consolidated data reports, performance assessment reports, simulation models and visualization (2D/ 3D/ VR).
Technology providers wanting to test and validate AI-enabled algorithms for industrial layout planning and optimization. Industrial end-users that are interested in evaluating alernative layouts, improving material flow arrangements and optimizing workstation placement.
Customer required infrastructure: use case scenario definition, CAD files, facility layout data, operational constraints, equipment information, or existing models and algorithms
1) Production optimalisation
2) Time saving
Industrial plant Provider