Universiteit Leiden

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Research project

Dual-mode IMaging for Production and Automated Control Technologies

To overcome the limitations of slow and error-prone quality control, this research develops an advanced 3D imaging method for the rapid and reliable detection of internal defects in critical sectors.

Duration
2026 - 2031
Contact
Joost Batenburg
Funding
High Tech Systemen en Materialen DUAL impact
Partners

De Haagse Hogeschool, Meyn Food Processing Technology, APPLUS, NWO-institutenorganisatie, CWI - Centrum Wiskunde & Informatica

Abstract

In manufacturing and maintenance industries, traditional quality control methods are often slow, labour-intensive and error-prone. This is particularly critical in sectors such as food processing and energy infrastructure, where rapid and accurate detection of contaminants or defects is essential to prevent risks to public health and safety. The need for faster, more reliable detection of internal defects is the reason for this project. Advanced imaging techniques that combine detailed three-dimensional imaging with the efficiency and speed of high-throughput systems are required. Research within the project aims to transform industrial quality control by developing a new imaging workflow that integrates a ‘3D mode’ into these systems.

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