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Machine vision
Perception, inspection and image-based understanding for real environments.
For students Opportunities
Work on Real Systems While you Learn
Interested in machine vision, edge AI and manufacturing automation? At CORTE-X Lab you work on real research problems and industrial systems—with access to modern edge hardware and the chance to co-author publications.
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Research areas
+ thesis and project routes
01 / Focus areas
What you can work on
Choose a direction that matches your interests, then connect it to an active lab project, a thesis or a shorter applied assignment.
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Deep learning
Models, training workflows and evaluation grounded in useful research questions.
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Edge AI
Deployment on Jetson, TensorRT and other hardware close to the process.
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CAD/CAM automation
From geometry and process information to more capable production workflows.
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Industrial robotics
Robotic systems, automation and control in manufacturing settings.
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Dataset engineering
Reliable data collection, annotation and preparation for measurable results.
02 / Ways to join
Find the right starting point
Whether through your thesis or a shorter student project, there’s a way in. You can also propose your own topic, tailored to your interests and tied where possible to ongoing lab projects.
Route 01
Thesis Topics (BSc & MSc)
We offer thesis topics across machine vision, deep learning, edge deployment and CAD/CAM automation. Start with an available topic or bring a strong idea of your own.
Ask about available topicsRoute 02
Student Projects
Shorter applied projects and student-assistant work—from building datasets and training models to prototyping vision systems on real hardware.
Get in touchReady to start?
Interested in joining?
03 / Research community
Doctoral students
A growing research community working on intelligent monitoring, manufacturing systems, digital technologies and process automation.
Completed
Completed doctorates
| Student | Research topic |
|---|---|
| dr. Nika Brili | Model for intelligent monitoring of cutting-tool wear and damage using thermography |
| dr. Tadej Peršak | Predictive analysis of the straightening of hardened metal workpieces |
| dr. Elvis Krulčić | Development of a methodology for integrating digital technologies in the design of production systems |
| dr. Lucijano Berus | A support system for the die-spotting process of deep-drawing tools |
In progress
Current doctoral students
- Jernej Hernavs
- Marko Simonič
- Jernej Duler