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Master Thesis: Computer Vision for… at Volvo Group · Location…
Job Description
Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.
Background
Manufacturing environments increasingly rely on detailed production data to understand process status,
quality, and production progress. Existing production and automation systems can often capture
information directly from machines, PLCs, and other technical equipment. Manually performed assembly
activities, however, are generally more difficult to automatically observe and register.
Computer Vision and machine learning methods provide an opportunity to analyze image or video data
from an assembly station and identify objects, activities, and process states. Such a solution could
potentially complement existing production and automation systems by automatically identifying when
specific manual assembly activities have been completed.
Purpose
The purpose of the thesis is to investigate how a Computer Vision-based solution can be designed to
identify completed work activities at a manual assembly station.
The study should be limited to one selected workstation and a defined number of assembly activities
related to the assembly of engine components.
The thesis should consist of two main parts:
- Design and evaluate a concept for using image or video data to identify one or more defined
assembly activities. - Evaluate and compare relevant Computer Vision and neural-network-based methods for
understanding and performing this analysis.
The evaluation should not only consider theoretical model accuracy, but also the suitability of the
approaches for a real industrial environment.
Relevant evaluation criteria may include:
- Detection or classification
- Robustness
- Required amount of training data
- Inference time and computational requirements
- Camera positioning and viewing angle
- Lighting conditions
- Occlusion of objects or components
- Potential integration with existing production and automation systems
A possible overarching research question is:
How can Computer Vision be used to automatically identify completed manual assembly activities, and
which technical approaches are most suitable for this task in an industrial production environment?
Data Collection
Data collection should be limited to a selected assembly station and a defined set of assembly activities.
The data collection will occur at Volvo Penta’s Vara Factory.
The work may include:
- Collection of image and/or video data from the selected workstation
- Definition of the assembly activities that should be identified
- Annotation of relevant objects, activities, or process states
- Creation of training, validation, and test datasets
- Observation of variations in how the activities are performed
Based on the characteristics of the selected activities, the student may evaluate methods such as:
- Object detection
- Object tracking
- Pose estimation
- Action recognition
- Temporal video analysis
- Combinations of several Computer Vision methods
The thesis should focus on selecting and motivating suitable technical approaches and empirically
evaluating their performance for the selected industrial use case, rather than being limited from the
beginning to a specific neural network architecture.
The final outcome should consist of both a technical evaluation and a recommendation for how a
Computer Vision component could complement existing production and automation systems.
Relevant Academic Fields
Suitable for students in Computer Science, Artificial Intelligence, Machine Learning, Data Science,
Automation, Robotics, Mechatronics, Electrical Engineering, or related fields.
Recommended Level
Suitable for Master’s thesis work.
Ready for the next move?
Contact: Leif Funke, Manager Digitalization & IT, leif.funke.2@volvo.com
Last application date: October 31
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Who we are and what we believe in
We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities.
Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment.
Volvo Penta, a world-leading supplier of engines and complete drive systems for marine and industrial applications, you will be part of a global and diverse team of highly skilled professionals who works with passion, trust each other and embraces change to stay ahead. We make our customers win.