Multi-scale modelling from multi-sensor data fusion for visualization, design, analysis and additive manufacturing

Multi-scale modelling from multi-sensor data fusion for visualization, design, analysis and additive manufacturing
Summary
Main impact in the project: - Innovative techniques for integrating multi-scale, multi-resolution data provided by diverse sensors (All partners of T3.1). - Knowledge-based models for real-time monitoring and adjustment: . based on geometrical volumetric descriptors . based on points correction function Progress/Features up to month 32: - Detecting Regions of Interest (ROI) and Points of Interest (POI) - Utilizing curvature analysis for selecting best points for high-precision sampling - Utilizing computation geometric representation models for correcting low precision data with high quality samples. - Integrating multi-scale, multi-resolution data provided by different sensors - Reconstructing of multi-scale scanned data. Next steps: - Analyzing manufacturing parts that are suited for different sensors - Integrating data from touch sensor for improving the data from a laser - Code files and manual will be supplied. - The future steps will be implemented in the scope of the demonstrators (WP7- AD2). Partners involved Technion (Lead Partner) POLIMI GAMESA Enki Trimek
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Multi-scale modelling from multi-sensor data fusion for visualization, design, analysis and additive manufacturing
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