Master Thesis - Deep Learning for Image Quality Assessment

Job Title

Master Thesis - Deep Learning for Image Quality Assessment

Job Description

Background

In many of the cameras in the production line, as a last assessment, the pass/fail quality of the image is determined by an operator. This approach is highly dependent on which operator is determining the quality, and the outcome of pass/fail might vary depending on many factors. There are many benefits of removing the source of error of using operators to determine quality of the end product, one of them being that you get an unbiased measure of quality. It is also in line with Axis long term production goals to get rid of the operator dependency.

Goal

The goal is to investigate if machine learning could be used to detect defects in the image quality of the end product. Previous studies have found it possible to detect such defects when a controlled dataset was used, however it was not applied on real data to a satisfactory degree. This thesis would build on the existing work to improve the algorithms, data manipulation and training methods in order to evaluate if achieving near or above human level of detection on real production data is possible. The result should also present an investigation of the robustness of the resulting algorithm. 

Who are you?

For this Thesis proposal we target students with a strong interest in machine learning, image analysis and programming. Most likely you are studying a Master Program in Engineering Physics, Computer Science or Mathematics. 

OK, I am interested! What do I do now?

You are valuable to us – how nice that you are interested in one of our proposals! There are a few things for you to keep in mind when applying.

• Applications are accepted in both Swedish and English, and you apply via the proposal advert.
• The announced thesis is open only to students affiliated with a Swedish University/College either directly or via an exchange program.
• When the thesis proposal states that it includes two students working together, we would like you to apply in pairs. In these cases, send one application each but make sure to clearly state in your application who your co-applicant is. If you have any questions regarding this, please do not hesitate to contact us.
• Please attach your CV and University/College grade summary.

Who to contact for any questions regarding the position! 

Please contact Anton Holm at anton.holm@axis.com.

Type of Employment

Temporary Employment (Fixed Term)

Posting End Date

2025-01-14

Certain roles at Axis require background checks, which means applicable verifications will be done in these recruitments. Notice will be provided before we take any action.

About Axis Communications

We enable a smarter, safer world by creating innovative solutions for improving security and business performance. As a network technology company and industry leader, we offer solutions in video surveillance, access control, intercom, and audio systems, enhanced by intelligent analytics applications.

With around 4500 committed employees in over 50 countries, we collaborate with partners worldwide. Together, we thrive in our friendly, open, and collaborative culture and inspire each other to think beyond the expected. United by our commitment to inclusion, diversity, and sustainability, we consistently seek to develop our skills and way of working.

Let´s create a smarter, safer world

For more information about Axis, please visit our website www.axis.com.

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