Thesis - Performance of custom compression algorithm in FPGA

High speed laser triangulation cameras from SICK can produce a lot of 2D and 3D image data continuously transmitted over ethernet. The image data has some characteristics to take advantage of in compression and the cameras has some embedded device restrictions that has led to the investigation of a custom compression format.

A proof-of-concept implementation of the compression format is already done as a C++ program on PC.  The data compression has some degree of freedom in how to utilize the compression format to its advantage and the heuristics to use when encoding. The task is to investigate if the custom compression format can be adapted for implementation on FPGA.

The bachelor thesis work focuses on the following examples of research questions

What trade-offs need to be done compared to the C++ implementation?

What aspects affects compression speed and space requirement on FPGA?

Given the tradeoffs made, how does the FPGA-implementation perform compared to C++ implementation when looking at compression ratio?

Prerequisites

FPGA programming in VHDL

Contact

For more information about the position, contact:

David Eklund, FPGA Developer, david.eklund@sick.se

or

Charlotte Axelsson, HR Manager, +46 739 20 99 50.

Welcome with your application 15th of October at the latest! We make ongoing selections and offer our thesis opportunity as soon as we have found the right person.

If you would like to write your thesis in a pair, please provide us with one application where you  attach both your CVs  and extracts of study results and one mutual cover letter.

SICK is a world-leading supplier of sensors and sensor solutions for industrial applications. We are 11 000 employees in 50 countries and our headquarter is located in Freiburg, Germany. SICK in Linköping is an innovation center for Machine Vision and we are 80 committed employees with a big interest in image processing and visualization. For more than 35 years, our team at SICK Linköping has successfully developed and delivered software for technically leading products within the field of 2D and 3D vision, as well as system solutions for i.e. robot guidance and quality control.

At SICK in Linköping, we are very proud of being a healthy and attractive workplace. For many years, we have been elected as one of the best workplaces in Sweden according to the survey Great Place to Work, the latest award is from 2023. We work actively to reduce our climate footprint and we are active in various ways to contribute to the society and to increase diversity at our workplace.