Dig-CirclE - digitalization in the circular economy of high-performance composite materials
Project
Datinf GmbH is an IT partner in the Dig-CirclE project “Circular economy of fiber-reinforced composites”. Dat-inf supports the project partners in integrating devices for automated data acquisition as well as in implementing quality-assurance and measurement tasks. Both classical machine vision and artificial intelligence are used for this.
Project partners
Central database solution at Fraunhofer IWU
Development of a database solution for centrally managing thermography, ultrasound and 3D-scanner data. Device connections are implemented – where available – via manufacturer-specific software development kits (SDKs). Support for automatic analysis and defect detection is also implemented.
Central database solution (example view)
Detection of partially obscured markings
Automatic detection of material markings
Trials for the automatic detection of material markings that are only partially visible due to contamination or unfavorable light reflections.
Industrial-camera software for vehicle image capture
Development of acquisition software for use with an industrial camera. The software automatically loads the appropriate camera settings and stores the images by vehicle for further processing.
Acquisition software for vehicle-related data capture
Example of data augmentation
Data augmentation to improve AI models
Implementation of data-augmentation techniques to improve the generalization capability of AI models.
AI-based defect detection on test parts
Use of artificial intelligence to detect defects on test parts.
Example: AI-based classification