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Thesis - Camera Tampering Detection using Deep learning i Lund

Axis enables a smarter and safer world by creating network solutions that provide insights for improving security and new ways of doing business. As the industry leader in network video, Axis offers products and services for video surveillance and analytics, access control, and audio systems. Axis has more than 3,000 dedicated employees in over 50 countries and collaborates with partners worldwide to deliver customer solutions.

Om tjänsten

Master thesis, autumn 2019, at Axis Communications R&D department

Category
Deep Learning, CNN, Machine Learning, Applied Statistics, Computer Vision

Scope
2 students completing 30 credits (20 weeks) each.

Background
Our analytics team is working on developing and improving smart applications for using different kinds of camera analytics, such as motion-, face- and tampering detection. Tampering detection is becoming more and more important when the number of cameras in the public domains such as plazas and parks increases. Most of the cameras are not used for live view but for their recording capability to afterwards investigate the event of a crime or similar. There is an increasing problem that cameras get tampered with or vandalized and won't work as intended for a period of time. Therefore, Axis offers an application called Axis Tampering Alarm. Now it’s time to investigate algorithms for the next generation tempering alarm application.

We want you to research, prototype and implement a solution that allows for automatic camera tampering detection.

Goal
This proposed thesis could include, but will not be limited to the following topics:

  • Research on the state of the art systems in this area, deep learning and similar approaches.
  • Benchmark against existing algorithms.
  • Can such a system detect and adjust for non-conventional cameras (fisheye lens, stitched multisensor camera)?

About you
We believe that you can write and understand object-oriented languages such as python or similar. You also have some experience of working on Linux, have an interest in machine learning and computer vision, and have some experience in applied statistics.

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 theses are 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.

We look forward to hearing from you!

Publicerad den

28-02-2024

Extra information

Status
Stängd
Ort
Lund
Typ av kontrakt
Examensarbete
Typ av jobb
IT
Körkort önskas
Nej
Tillgång till bil önskas
Nej
Personligt brev krävs
Nej

Lund | IT | Examensarbete