Bachelor and Master Theses

To apply for conducting this thesis, please contact the thesis supervisor(s).
Title: Development of a scalable computer vision AI system for measurement of undercarriage parts.
Subject: Computer science, Applied Artificial Intelligence, Embedded systems, Software engineering
Level: Basic, Advanced
Description:

 

The undercarriage of an excavator—comprising track chains, rollers, idlers, and sprockets—is subject to intense mechanical wear during operation. Accurate and timely measurement of these components is vital for predictive maintenance, operational efficiency, and safety.

Traditionally, measurements are done manually, which is time-consuming and costly. A computer vision application capturing videos of the undercarriage can expedite the inspection of sprockets wear.

The thesis aims to develop a meta-learning-based scalable undercarriage measurement model that can automatically detect and measure undercarriage components from images or videos while adapting rapidly to new excavator models with minimal labelled data.

Tasks include in the thesis

  1. Develop a scalable image segmentation model
  2. Enabling automatic and accurate quantification of segmented regions.
  3. Generalization across different segmentation tasks with minimal labeled data.
  4. Evaluate the framework on multiple datasets from different machine configurations.

Expected Outcome

  • A meta-learning-based segmentation model capable of adapting to new datasets.
  • An integrated pipeline for segmentation and object size measurement.
  • Comparison between meta-Learning and conventional approaches.
Start date: 2026-01-19
End date: 2026-06-19
Prerequisites:

Machine Learning and Deep Learning Fundamentals

Computer Vision and Image Processing

Programming Language in Python, PyTorch, TensorFlow, or Keras
IDT supervisors: Mobyen Uddin Ahmed Shaibal Barua
Examiner: Shahina Begum
Comments:

This a thesis project  colaboration with Volvo CE under the project Trust_Gen_Z
Company contact:

Volvo Construction Equipment (VCE), a division of Volvo Group, is one of the world's largest manufacturers of construction equipment such as wheel loaders, haulers, excavators and compact machines.

At VCE, we are at the forefront of innovation in the construction equipment industry. We focus on data-driven decision-making across the entire business spectrum. With numerous ongoing exploratory projects, we provide a fertile ground for curious minds to delve into diverse domains and leave a lasting impact.

We seek individuals with innovative mindsets who can provide unexpected solutions and think outside the box. By joining us, you will contribute to research and findings that will help shape the direction of our business. Together, we will explore untapped potential, paving the way for a more efficient, intelligent, and sustainable future.