Dissertation defence (Information and Communication Technology): MSc, MBA Aleksandra Karimaa
MSc, MBA Aleksandra Karimaa defends the dissertation in Information and Communication Technology titled “On Evaluating Video Surveillance Systems” at the University of Turku on 5 December 2025 at 12.00 (University of Turku, Publicum, Pub3, Assistentinkatu 7, Turku).
The audience can participate in the defence by remote access: https://utu.zoom.us/j/61772816683
Opponent: Associate Professor Jussi Kasurinen (LUT University, Finland)
Custos: Associate Professor Tuomas Mäkilä (University of Turku)
Doctoral Dissertation at UTUPub: https://urn.fi/URN:ISBN:978-952-02-0481-5
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Summary of the Doctoral Dissertation:
This dissertation looks at how video surveillance systems can be evaluated. In simple terms, evaluation means figuring out the “value” of a system. The challenge is that people don’t agree on what exactly should be measured to show this value. For example, things like video quality or how well a system detects targets are often hard to measure or compare.
My idea is that every video surveillance system can be evaluated in a clear, measurable way that reflects the needs of different people involved—whether they are users, buyers, or developers—throughout the system’s life cycle. To do this, I created a new framework: a scoring system based on measurable indicators, or metrics.
The framework works by breaking down the system into objectives, then measuring each objective with specific metrics. These metrics are scored and combined to give an overall picture of how well the system performs. I tested this approach with two case studies to show how it works in practice.
To make the framework as complete as possible, I studied different aspects of surveillance systems and looked at evaluation methods used in other fields. I focused on metrics that can reflect different ways the systems are used and that meet the needs of various stakeholders. This way, the scoring system can show both technical performance and practical value.
In the end, this work aims to help the industry and researchers evaluate new solutions more effectively. It provides a common “language” for evaluation, which can improve collaboration between business and research. This, in turn, can speed up the development and commercialization of new innovations in surveillance and security industry and beyond.
The audience can participate in the defence by remote access: https://utu.zoom.us/j/61772816683
Opponent: Associate Professor Jussi Kasurinen (LUT University, Finland)
Custos: Associate Professor Tuomas Mäkilä (University of Turku)
Doctoral Dissertation at UTUPub: https://urn.fi/URN:ISBN:978-952-02-0481-5
***
Summary of the Doctoral Dissertation:
This dissertation looks at how video surveillance systems can be evaluated. In simple terms, evaluation means figuring out the “value” of a system. The challenge is that people don’t agree on what exactly should be measured to show this value. For example, things like video quality or how well a system detects targets are often hard to measure or compare.
My idea is that every video surveillance system can be evaluated in a clear, measurable way that reflects the needs of different people involved—whether they are users, buyers, or developers—throughout the system’s life cycle. To do this, I created a new framework: a scoring system based on measurable indicators, or metrics.
The framework works by breaking down the system into objectives, then measuring each objective with specific metrics. These metrics are scored and combined to give an overall picture of how well the system performs. I tested this approach with two case studies to show how it works in practice.
To make the framework as complete as possible, I studied different aspects of surveillance systems and looked at evaluation methods used in other fields. I focused on metrics that can reflect different ways the systems are used and that meet the needs of various stakeholders. This way, the scoring system can show both technical performance and practical value.
In the end, this work aims to help the industry and researchers evaluate new solutions more effectively. It provides a common “language” for evaluation, which can improve collaboration between business and research. This, in turn, can speed up the development and commercialization of new innovations in surveillance and security industry and beyond.
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