Development of an embedded lab management system
Ayanoglu, Uras (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202502132803
https://urn.fi/URN:NBN:fi:amk-202502132803
Tiivistelmä
The purpose of this thesis was to develop a web-based management system for the embedded laboratory at Turku University of Applied Sciences. The objectives were to implement an integrated functionalities such as inventory management, learning aids for embedded systems, equipment loan tracking, table booking, and enhanced search capabilities powered by a local AI server. This work was undertaken to address challenges faced in manually managing the laboratory's resources, which often resulted in inefficiencies and inaccuracies. By introducing a structured and automated approach, the system aims to support the teaching staff and students in the Embedded Software and IoT track by improving the efficiency of resource utilization and access within the laboratory.
The development of the system followed a constructive research approach. The requirements for the system were based on the needs of teaching staff and students, and relevant theoretical principles. The Django framework was chosen as the development platform due to its maintainability and suitability for rapid prototyping. The implemented system underwent iterative ad hoc testing, incorporating user feedback to refine the functionalities. Key features, such as dynamic inventory categorization, table availability visualization, and AI-assisted search, were tested in the real environment of the lab to ensure usability and effectiveness.
The results demonstrated that the developed system significantly streamlined the management of the laboratory’s resources and improved user experience for both students and staff. In addition to addressing immediate needs, the system provides a foundation for future use in the university’s curriculum, particularly in the application programming course and Capstone projects. This ensures the system’s continuous improvement and relevance, contributing to innovation in resource management within educational institutions.
The development of the system followed a constructive research approach. The requirements for the system were based on the needs of teaching staff and students, and relevant theoretical principles. The Django framework was chosen as the development platform due to its maintainability and suitability for rapid prototyping. The implemented system underwent iterative ad hoc testing, incorporating user feedback to refine the functionalities. Key features, such as dynamic inventory categorization, table availability visualization, and AI-assisted search, were tested in the real environment of the lab to ensure usability and effectiveness.
The results demonstrated that the developed system significantly streamlined the management of the laboratory’s resources and improved user experience for both students and staff. In addition to addressing immediate needs, the system provides a foundation for future use in the university’s curriculum, particularly in the application programming course and Capstone projects. This ensures the system’s continuous improvement and relevance, contributing to innovation in resource management within educational institutions.