MASTER´S THESIS: Auto-set functionality for optimized 3D image quality

In automated quality inspection of an object, the success of the image processing task depends on the quality of the acquired  image. To do a good 3D image set-up the user needs to have some experience, something that is usually missing for a new customer of our configurable TriSpector cameras.  Depending on the object’s features it is possible to suggest a suitable se-up for the given case and then allow the user to perform small manual adjustments if necessary.

• Find relevant set-up templates for a range of object features
• Visualization and usability aspects of the set-up
• Evaluation of different hypothesis

Prerequisites:

• Image processing
• Computer vision & geometry
• Programming in C++
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Contact:

For more information, contact R&D manager Johan Häggström (johan.haggstrom@sickivp.se) and apply below at "ANSÖKAN"  before  the 6th of December. Please notice: Application must include CV, Cover letter and LADOK (study results including courses).