Researching and AI Testing Strategies for Video Management System
Nguyen, Binh (2024)
Nguyen, Binh
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024050810352
https://urn.fi/URN:NBN:fi:amk-2024050810352
Tiivistelmä
This thesis focuses on examining testing strategies for ITD Group’s Smart Video Management System within the context of software development. The study delves into the realm where cutting-edge technology converges with boundless information. The Video Management System is simulated employing with Python, facilitating a comprehensive understanding of its intricate working.
This thesis also moves readers with the transition from manual testing API into more advanced methods such as unit testing or real cam testing, unveiling the features of AI APIs, system bugs, script tests. Moreover, the thesis will analyze similar video management system, such as Milestone, Axis for the valuable in-sights and will offer further knowledge on the field of Software Testing as well as contribute necessary value for the intelligent video management system (iVMS) industry.
With all the above activities, this study illuminates a pathway to be a responsible Software Engineer within the realm of Video Management System.
This thesis also moves readers with the transition from manual testing API into more advanced methods such as unit testing or real cam testing, unveiling the features of AI APIs, system bugs, script tests. Moreover, the thesis will analyze similar video management system, such as Milestone, Axis for the valuable in-sights and will offer further knowledge on the field of Software Testing as well as contribute necessary value for the intelligent video management system (iVMS) industry.
With all the above activities, this study illuminates a pathway to be a responsible Software Engineer within the realm of Video Management System.