Thesis Opportunity- Efficient Pose Estimation in Industrial Images

What the Master Thesis is about/background to the problem to investigate

In industrial settings, one would often like to predict not only a bounding box or segmentation for an object visible in the image, but also determine exactly how the object is oriented and where its key points are located. This is especially relevant for objects that consist of well-defined parts but where the size and configuration of these parts can vary.

Modern vision architectures such as DETR or DEIM are built on shared backbones which can be combined with different heads for tasks like bounding box prediction, segmentation mask prediction or human pose estimation. This thesis would investigate how such architectures can be adapted to solve the “industrial pose estimation” task described above, with focus on situations that have only a few training images, so called few-shot problems.

The master thesis work focuses on the following/example of research questions

• What modern methods for human pose estimation are suitable for industrial pose estimation?
• How could they be adapted to better suit industrial pose estimation?
• How do these methods perform in industrial few-shot scenarios?

Prerequisites

You should have some familiarity with modern computer vision architectures and be motivated to dive deeper. You should be comfortable programming in Python.

Contact

For more information about the position, contact:

Erik Hedberg, Senior Algorithm Developer, + 46 722 26 77 57

We warmly welcome your application — please submit it no later than October 25th.

SICK is a world-leading supplier of sensors and sensor solutions for industrial applications. We’re part of SICK AG — a global leader in sensor technology with 10,000 employees across 50 countries and headquarters in Freiburg, Germany. Together, we build technology that makes industries more efficient, intelligent, and safe.

As a Machine Vision Innovation Center, SICK Linköping develops advanced AI-powered software that drives the future of both manufacturing and logistics automation. Whether it’s helping robots pick the right item or enabling high-precision quality control with 2D and 3D vision, our solutions bring clarity, speed, and smart decision-making to complex industrial environments — all driven by a dedicated team of 100 colleagues.

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