01
Perception
Advanced machine vision and multimodal sensing for precise data acquisition and process understanding.
Machine vision Artificial intelligence Technological systems
Vision and Intelligence
for Machines
We connect perception, intelligent modeling, and real-world integration into technological systems that work in real environments.
01 / Research foundations
Our Research Foundations
Our research is built on three interconnected pillars: advanced perception, intelligent modeling, and real-world technological integration.
02
Intelligence
Predictive, generative, and hybrid AI models combining data-driven approaches.
03
Integration
Deployment of AI models into real-world systems and edge environments.
02 / Scientific approach
Scientific Approach
Our research follows a structured and reproducible framework that transforms scientific innovation into validated technological solutions.
01
Scientific Methods
Development of machine vision, AI, and hybrid modeling methods for complex systems.
02
Experimental Validation
Controlled experiments, multimodal data acquisition, and rigorous benchmarking.
03
Technological Integration
Translation of models into deployable hardware-software and edge-enabled systems.
04
Real-World Impact
Validated solutions for industrial, food, and pharmaceutical environments.
03 / Applied research
Where Our Research Creates Impact
Our methods are translated into validated solutions across manufacturing, food systems, and pharmaceutical technologies.
Smart Manufacturing
We develop machine vision and AI-enabled systems for intelligent manufacturing environments.
- Machining intelligence
- Optical quality inspection
- Welding diagnostics
- Digital twin-enabled production
Food System & Agri-Tech
We apply machine vision and AI to enhance sustainability and quality across the food value chain.
- Precision agriculture
- Intelligent optical sorting
- Plant health monitoring
- Food processing optimization
Medical Technologies
We develop machine vision and AI solutions for regulated environments, with focus on medical technologies.
- Optical inspection systems
- AI-supported quality control
- Multimodal process validation
- Compliant digital twins
04 / Technology readiness
From Research to Implementation
We operate across TRL 1–6, bridging scientific innovation and validated deployment.
TRL 1–2
Fundamental Research
Basic principles observed and technology concepts formulated.
TRL 3–4
Experimental Validation
Proof-of-concept demonstrated and experimental development.
TRL 5
Pilot Systems
Pilot-scale testing and validation in relevant environments.
TRL 6
Industrial Deployment
Validated production technology and deployment in the industry.
05 / CORTE-X Lab
CORTE-X Lab in Numbers
105+
Scientific publications
20+
Industrial partners
100+
Finished student theses
25+
Active/completed projects
OPTIFARM: Benchmarking YOLO Architectures for Location-Robust Potato Quality Detection
A benchmark of affordable RGB-based optical inspection and deep learning for robust potato quality detection across locations.
Read moreTemporal and statistical insights into multivariate time series forecasting of corn outlet moisture in industrial continuous-flow drying systems
Statistical analysis and deep learning for outlet moisture prediction in industrial continuous-flow drying systems.
Read moreUsing a Region-Based Convolutional Neural Network (R-CNN) for Potato Segmentation in a Sorting Process
Machine-vision segmentation for a potato-sorting system designed to process more products simultaneously.
Read moreAdvancing Intelligent Toolpath Generation: A Systematic Review of CAD–CAM Integration in Industry 4.0 and 5.0
A systematic review of AI-enabled CAD–CAM integration and intelligent toolpath generation across Industry 4.0 and 5.0.
Read morePredicting Corn Moisture Content in Continuous Drying Systems Using LSTM Neural Networks
Machine learning and LSTM models for moisture prediction and process optimization in corn drying.
Read moreHardened workpiece shape prediction using acoustic responses and deep neural network
Predicting hardened workpiece shape from acoustic responses with deep neural networks for automated straightening.
Read more