A detailed report with:
Target group: AI-Users in manufacturing, including:
SMEs in robotics, automation, and quality control.
Engineers and developers working on AI-driven diagnostics or multi-agent systems.
Target industries: Manufacturing, robotics, automation, logistics, and quality assurance.
A comprehensive technical report including:
Robotics, Automation, AI Development, Manufacturing, Logistics, and Industrial Automation.
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Validated models and technologies with documented results that can be used to reduce risk, improve scalability, and support further implementation in existing or future bioproduction processes.
Biosolutions
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.
Manufacturing, Food and biomaterials, Plastics and recycling, Quality control and sorting, Other emerging and enabling technologies
An implemented and validated DTI Vision Box solution for industrial quality inspection with documented performance, integration documentation, and recommendations for stable operation and further optimization.
Manufacturing, Quality control and inspection, Process and assembly production, Packaging and handling, Other emerging and enabling technologies
Deliverables: Data analysis reports, reports with consoidated results, physical demonstrations
Technology providers wanting to test and validate IoT solutions and data analytics tools in realistic industrial environments.
Industrial end-users that are interested in exploring strategies for performance monitoring, optimization and efficiency improvement.
Customer required infrastructure: use case scenario, operational constraints, equipment information, or existing models and algorithms
Test of the information flow among the physical and digital and virtual world
Descrete Manufacturing Companies
Collected and processed sensing data relevant to the agreed industrial use case
Assessment of data quality and suitability for monitoring, optimisation or modelling
Identification of relevant patterns, operating conditions or potential anomalies in the measured data
Trained data-driven or machine-learning model where applicable to the agreed use case
Processed data and model outputs suitable for further optimisation, condition monitoring or virtual system development
Manufacturing companies, machine and equipment manufacturers, industrial technology providers and system integrators seeking to use sensing and production data for condition monitoring, process optimisation, predictive analysis or system modelling.
Prototype and Report
Companies in particular SME using optical part recognition
The customer receives a structured audit report with a rating per criterion, identified weaknesses and prioritized recommendations for optimization and risk mitigation. For a Deep Audit, the report also includes own test results, metrics and quantified findings.
Open for anyone
Supporting SMEs in the design of complex systems for manufacturing applications
Manufacturers interested in designing complex systems