Master Thesis – Pan Tilt Zoom Cameras: Two Different Ideas

Image Processing & Zoom Drift compensation for PTZ Cameras (Choose between two tracks) 

Category 

Computer Science, Image Processing, Embedded Systems, Machine Learning, Optics, Mechatronics 

Scope 

Master Thesis, 30 hp (ECTS). The project is intended for two students working together. 

Below, we present two potential project tracks within our PTZ Imaging team. As applicants, you can indicate in your application which topic interests you the most, or if you are open to either. The final scope will be chosen together with the team before starting. 

Background

Axis PTZ (pan/tilt/zoom) cameras are increasingly used in demanding scenarios, such as tracking objects against the sky. In these cases, minor imperfections on the sensor or lens—often called "blemishes"—can appear under specific lighting conditions. These blemishes risk being misinterpreted as moving targets by analytics algorithms, causing false positives. To ensure reliable performance, we need a method to identify and handle these blemishes directly on the camera in real time. 

Goal & Key Parts

The goal is to investigate, implement, and evaluate methods for real-time blemish detection in a video stream from a PTZ camera. 

• Literature study: Survey existing methods for detecting image sensor defects and optical artifacts. 

• Algorithm development: Design a robust detection algorithm capable of handling PTZ movements and changing sky lighting. 

• Proof-of-Concept: Implement the algorithm as a functional prototype, ideally running directly on an Axis camera platform. 

• Evaluation: Benchmark detection accuracy and computational efficiency. 

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

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