Master Thesis - Learning from Specific Scenarios to Improve a Pre-trained Edge Model
Master Thesis - Learning from Specific Scenarios to Improve a Pre-trained Edge Model
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Job Description
Job Title
Job Description
Category
Computer Science Artificial Intelligence
Scope
Master Thesis 30 hp 2 students completing 30 credits each
Background
Surveillance systems often rely on pre-installed cameras operating in well-defined fixed such setups the visual context or scenario remains relatively similar over time. This creates a valuable opportunity by learning from a specific cameras scenario using a small number of annotated examples to improve performance.
Goal
The objective of this thesis is to investigate how scenario-specific learning can improve the performance of a pre-trained deep learning model in real-world applications. Specifically the aim is to explore methods for precision and recall enhancement when limited data from a known environment is available.
This thesis will evaluate and compare various deep learning strategies network architecture changes and training approaches tailored to this task. These include:
Server-based training: Traditional training pipelines where models are trained in the cloud or on powerful servers and then deployed.
Edge/device-based training: On-camera or on-prem-device training.
Zero-training approaches: Methods that leverage pre-trained models and scenario-specific adaptation without the need for retraining.
The thesis work includes implementation and testing of multiple methods across these categories and conducting a systematic comparison of their performance scalability computational cost and suitability for deployment in constrained environments. The thesis will also discuss trade-offs between model complexity generalization ability and responsiveness to new scenario-specific data.
Who are you
For this Thesis proposal we target students with a strong interest in Artificial Intelligence and Machine Learning. Most likely you are studying a Master Program with courses in Machine Intelligence or Computer Vision
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 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!
Type of Employment
Temporary Employment (Fixed Term)Posting End Date
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.
Lets create a smarter safer world
For more information about Axis please visit our website .
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Employment Type
Full-Time
