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DTI Vision Box 2.0
A tested and assessed vision solution based on DTI Vision Box 2.0 with documented applicability, recommendations for further adaptation or implementation, and a stronger basis for automated quality control and cost optimization.
Target Audience
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Manufacturing, Quality control and inspection, Robotics and automation, Surface and scratch inspection, Other emerging and enabling technologies
Sensor Selection and Evaluation for Service Robots
A documented evaluation of relevant sensors, including recommendations for sensor selection, integration options, and optimal configuration for the specific robot application.
Target Audience
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Service robotics, Robotics and automation, Manufacturing, Other emerging and enabling technologies, Industrial companies needing mobile perception and navigation
3D CAD-Based Vision
A documented assessment of whether 3D CAD-based vision can solve the specific production task, including solution options, demonstration results, and a comprehensive report with recommendations for next steps.
Target Audience
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Circular economy, Factory-Level Optimisation, Human-Robot Interaction, Computer vision, Other emerging and enabling technologies
Virtual Production
A documented assessment of the impact of proposed production changes, including simulation results, recommendations, and a decision basis that can typically support time and cost savings in construction, commissioning, and implementation phases.
Target Audience
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Manufacturing, Production optimization, Robotics and automation, Digital twins and simulation, Other emerging and enabling technologies
Advanced 3D Camera Technologies for Vision and Robotic Picking
A documented evaluation of relevant 2D and 3D camera technologies and AI methods, including performance measurements, application assessment, and recommendations for further development or implementation.
Target Audience
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Manufacturing, Robotics and automation, Picking and handling, Logistics and intralogistics, Other emerging and enabling technologies
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Development Projects for Industrial Vision and AI Systems
A validated vision and AI solution concept, prototype, or subsystem with documented performance, integration recommendations, and clear next steps for industrial deployment or further maturation.
Target Audience
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Manufacturing (discrete and process), Circular economy applications (sorting, recycling, remanufacturing), Logistics and intralogistics, Other industrial sectors requiring robust automated visual inspection or perception.
Hyperspectral Imaging Testbed with Conveyor
A documented evaluation of hyperspectral imaging and AI-based analysis for relevant materials or products, including performance data, application assessment, and recommendations for further development or implementation.
Target Audience
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Manufacturing, Food and biomaterials, Plastics and recycling, Quality control and sorting, Other emerging and enabling technologies
Vision Proof of Concepts
A documented proof of concept for a specific vision task, including test results, feasibility assessment, and recommendations for further development, prototyping, or implementation.
Target Audience
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Manufacturing, Quality control and inspection, Robotics and automation, Logistics and intralogistics, Other emerging and enabling technologies
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3D Bin-picking: Identification and picking up of the unsorted parts
This service demonstrates how advanced manufacturing technologies can be leveraged and adapted to handle a wide variety of objects and components. It highlights the practical impact of these technologies on real-world manufacturing processes, enabling users to better understand performance, flexibility, and added value in production environments.
When new or additional technologies are integrated and tested within this setup, the result is validated innovation in a real manufacturing context. This contributes to increasing the Technology Readiness Level (TRL), supporting the transition from experimental solutions to scalable, industry-ready applications.
Target Audience
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User: manufacturing companies that operate in high-mix, low-volume settings and need flexibility in their production processes.
AI-driven identification of high-variation parts
- Evaluation of ability to leverage existing technology modules to cope a higher variety of parts beyond what is currently possible.
- The gained knowledge and infrastructure applied to new segments
of applications & SMEs - Technology modules enhanced to the most prominent cases.
Target Audience
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User - Manufacturing companies operating in high-mix, low-volume and high-complexity environments that need reliable part identification to automate post-processing
AI-driven material handling and automated bagging for high-variation production
- Evaluation of ability to leverage existing technology modules to cope a higher variety of parts beyond what is currently possible.
- The gained knowledge and infrastructure applied to new segments
of applications & companies - Technology modules enhanced to the most prominent cases.
Target Audience
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User - Manufacturing companies operating in high-mix, low-volume and high-complexity environments that need reliable parts handling and baggibg to automate post-processing
AI-powered Quality Inspection
- Detected defects and inspection accuracy
- AI model performance and analytical insights
- Suitability for the SME’s production process and materials
- Recommendations for further development, optimization, or industrial adoption
Target Audience
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User - Manufacturing SME's seeking to improve product quality and efficiency of the inspection process
AI-driven sorting of high-variation parts
- Evaluation of ability to leverage existing technology modules to cope a higher variety of parts beyond what is currently possible.
- The gained knowledge and infrastructure applied to new segments
of applications & companies - Technology modules enhanced to the most prominent cases.
Target Audience
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User - Manufacturing companies operating in high-mix, low-volume and high-complexity environments that need reliable part identification and sorting to automate post-processing
AI-driven post-processing automation and workflow optimization for high-variation manufacturing
Evaluation of ability to leverage existing technology for high variability of parts
Target Audience
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User - Manufacturing companies operating in high-mix, low-volume and high-complexity environments that need reliable part post-processing automation for high-variation manufacturing
AI Factory Planner
Demonstrate that application of AI reinforcement learning can greatly improve efficiently and reduce costs as compared to conventional heuristic production planning
Target Audience
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AI-User - manufacturing companies that want to improve efficiency of production planning and resource management.
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Experimenting with human robot interaction
Demonstrator
Target Audience
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- AI user (e.g. manufacturing company)
- AI provider (e.g. technology provider, engineering company, integrator)
Exchanging manufacturing information across the value chain
Technology evaluation, demonstrator
Target Audience
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- AI user (e.g. manufacturing company)
- AI provider (e.g. technology provider, engineering company, integrator)