Meet Jonas Lindberg and Sara Roth, students at the Chalmers University of Technology

Sigma Technology aims to attract talents and navigate them through challenging but exciting path to the top of the career. We regularly cooperate with students and universities and share our expertise with them. Today we are talking with Jonas Lindberg and Sara Roth, students at the Chalmers University of Technology, who were conducting their Master Thesis with us and who will soonly join Sigma Technology’s software development team. 


Sara, Jonas, tell us about your study at the university. What did you study? Why did you choose this direction? 

We studied at the Chalmers University of Technology in Gothenburg and took a bachelor’s in Mechanical Engineering before pursuing a master’s in Systems, Control, and Mechatronics. 

Jonas: I chose Mechanical Engineering because I knew it was a broad and solid foundation and for my masters, I got more and more interested in computers and mechatronics and thought it was a good mix.

Sara: I also chose Mechanical Engineering since it was such a wide education that led to many possibilities in picking a master’s degree. I chose my master’s because I enjoyed working with computers and mechatronics. I enjoyed the courses I took at the bachelor level in control systems and I’ve heard good things about Systems, Control, and Mechatronics.


What is your Master’s Thesis about? Will this system be applied in the future and where?

It was on indoor tracking. We focused on trying to track and position automatic guided vehicles and humans in a warehouse environment. We did this using solely static cameras, like surveillance cameras. A goal was to be able to provide a good overview of a warehouse with information on objects’ position and identity and allow to be able to control all vehicles from a central unit in the future. The usage of static cameras meant we didn’t depend on the onboard sensors usually found on these types of vehicles.

These systems are still under development but we hope to see real-life implementations in the future!


Why did you choose to work with AI/computer vision? What is the most fascinating about it for you?

We both took courses in AI/computer vision at university and really enjoyed the subjects. The visual feedback when things work is satisfying and it’s an exciting new field with a lot of research and development being conducted. It’s fun to work with because it can be applied in so many fields of industry. 


What kind of technologies you find the most exciting and why?

Object detection and machine learning are very exciting, being able to train a computer to function like the human visual system, which is extremely complex and efficient. Humans can take one look at an image and instantly know which objects are in the image, the positions, and how they move. The visual systems of a human are fast

and accurate. To be able to make a computer act like a human visual system requires

a lot of work but would allow AGVs to drive without other sensors than cameras

and unlock the potential for responsive robotic systems.


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