Title: | Human-AI Interaction Based on Computer Vision and Data Analytics for Excavator Maintenance |
Subject: | Computer science, Applied Artificial Intelligence, Software engineering |
Level: | Basic, Advanced |
Description: |
The thesis work is a part of the collaboration project Trust_Gen_Z Be a part of shaping the future through Analytics and AI explorations, both working on a specific use case and investigating the latest trends in approaches and Ways of Working. The thesis will focus on human-AI interaction that builds on an existing computer vision-based model and detects wear for undercarriage parts for the excavator using machine learning. You will be evaluating the approach in real industrial settings.
The tasks of the thesis include:
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Start date: | 2025-03-01 |
End date: | 2025-06-30 |
Prerequisites: |
This can be suitable for the student with studies within for example Industrial Engineering and Management / Automotive Engineering/ Computer Science/ AI /Software Engineering or equivalent. HAI, Computer vision, AI and machine learning are valuable skill sets. Some programming skills in Python are essential. |
IDT supervisors: | Shaibal Barua Shahina Begum |
Examiner: | Mobyen Uddin Ahmed |
Comments: | |
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.
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