Job TitleMaster Thesis - Visual Face anti-spoofing technology

Job Description

Category

Video analytics, machine learning 

Scope

Master Thesis 30 hp, 2 students. 

Background

In the realm of biometric verification technology, the ability to differentiate between genuine users and spoof attempts is critical. Very simple methods, such as printing images on paper or using phones and tablets, can easily be exploited to deceive face recognition systems. This thesis aims to explore technology that detects whether a face in a video is real or a spoof, focusing specifically on liveliness detection. The primary constraint is that only video sensor data will be utilized, employing both computer vision and machine learning techniques.

Goal

This thesis aims to explore face anti-spoofing by examining spoofing attacks, analyzing distinguishing features of real versus spoofed faces, identifying benchmarking metrics, proposing classification technologies for liveness detection, and addressing data collection strategies.

Description

This thesis will encompass several key components:

1. Field Exploration of Face Anti-Spoofing

Investigate the various types of spoofing attacks that exist and their implications. The technological selection will be guided by the realism and complexity of potential attacks, as successful spoofing could undermine the integrity of face verification systems.

2. Analysis of Characteristic Appearances

Examine the distinguishing features between real and spoofed faces. Identify useful information present in images, supported by statistical data to illustrate these differences.

3. Benchmarking and Metrics

Investigate suitable benchmarks or metrics necessary for comparing different technologies and their effectiveness in liveness detection.

4. Proposing Classification Technologies

Recommend technologies capable of classifying the liveness of faces in video. Development and program execution will occur in a PC environment using offline materials.

5. Data Collection ConsiderationsAcknowledge that useful data may be limited and outline a plan for collecting data that could assist in classifying the liveness of faces captured in video.

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!

Willie Betschart, willie.betschart@axis.com or Mikael Westlund, mikael.westlund@axis.com

Type of EmploymentTemporary Employment (Fixed Term)

Posting End Date2025-08-30

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 5000 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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