Projects
Study of a real time inspection system based on infrared and THz to be combined with a multi-energy X-ray inspection system for food and automotive applications KU Leuven
With the growing trends in automation, innovation in quality control and inspection is essential. Every inspection technique comes with its advantages and drawbacks. In order to create a reliable system, we need to combine multiple inspection techniques like hyperspectral imaging and time-resolved terahertz imaging with standard inspection step-up. This PhD project aims to develop an inspection system that can be deployed in the industry ...
Analysis 'Evaluation Inspection 2.0' University of Antwerp
Applied research into the practice of inspection and law enforcement within the policy area of Welfare, Public Health and Family. KU Leuven
The different - public and private - actors responsible for the supply of social care and assistance need to focus on the quality of care. The government, charged with the (constitutional) responsibility for the policy on care and its implementation, should encourage this. One of the guiding instruments that is at the public authorities’ disposal to achieve this, is the supervision of the social care institutions and facilities.
The ...
AI for internal food quality inspection by spectral X-ray CT KU Leuven
XCT is a relevant technique as many properties of foods, plants or seeds are not only related to composition but also to microstructure. Microstructure relates to the spatial distribution of the material components at the microscopic scale. Insight into food microstructure is therefore essential to inspect and control the quality of food. XCT is gaining traction because it is a non-destructive method to produce high resolution ...
Inspection and measurement of complex 3D printed objects. University of Antwerp
Leveraging hyperspectral quality inspection in the agrofood sector with AI KU Leuven
Hyperspectral imaging allows capturing the continuous spectrum of light at each pixel in the visible and near-infrared bands. It provides more optical information than common RGB images and the human eye. As a result, it has found success in industrial applications in waste and food sorting quality control. Recent deep learning-based image processing algorithms outperform classical computer vision techniques in these kind of tasks. However, ...
BLEEPID - Towards improved reliability and reduced costs of offshore wind by Blade-Leading-Edge Erosion Prediction and Drone-based Inspection Ghent University
Leading edge erosion of offshore wind blades has drastic impact on maintenance costs and operational energy production and leads to unwanted microplastics in the environment. Herein, we will develop fundamental image capturing and camera techniques, combined with quantitative wear analysis from experimental erosion testing and multi-physics modelling combining CFD-FSI impact and subsurface fatigue modelling. These advances will enable ...
Fast industrial metrology and inspection based on CAD data and phase contrast measurements. University of Antwerp
Transfer Learning methodologies for monitoring and quality inspection KU Leuven
Working under Professor Gryllias on the MUSIC project