Developing a Vision Web Application Service
Vo, Duc (2022)
2022
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202205098045
https://urn.fi/URN:NBN:fi:amk-202205098045
Tiivistelmä
Artificial intelligence is advancing at a rapid speed in today's world, due to its sophisticated and widespread use in almost every aspect of life. As more organizations and businesses join the artificial intelligence revolution, a new horizon for the computer industry in particular and all other specialized industries ,in general, is opened. Along with this trend, this thesis aims to encourage undergraduate study into the application of cloud-based artificial intelligence services to real-world situations.
The primary objective of this thesis was to develop a web application that utilizes artificial intelligence and machine learning techniques. More precisely, this research investigated Azure Cognitive Services, a collection of application programming interfaces, software development kits, and Microsoft Cloud services that enables programmers to create, test, and deploy computer vision projects. The project concentrated on constructing the technological side to conduct a large-scale interface application that enables customers to install some of the Face API's capabilities from Azure without needing to learn directly from Microsoft or possess programming or machine learning skills.
In conclusion, this project required significant effort to broaden knowledge and expertise in constructing a demonstration large-scale online application. Despite the time constraint, this project accomplished sufficient functionality to be used in a real-world application. Finally, from a technological standpoint, this thesis may contribute to research and development efforts aimed at broadening the use of these types of approaches in a variety of systems.
The primary objective of this thesis was to develop a web application that utilizes artificial intelligence and machine learning techniques. More precisely, this research investigated Azure Cognitive Services, a collection of application programming interfaces, software development kits, and Microsoft Cloud services that enables programmers to create, test, and deploy computer vision projects. The project concentrated on constructing the technological side to conduct a large-scale interface application that enables customers to install some of the Face API's capabilities from Azure without needing to learn directly from Microsoft or possess programming or machine learning skills.
In conclusion, this project required significant effort to broaden knowledge and expertise in constructing a demonstration large-scale online application. Despite the time constraint, this project accomplished sufficient functionality to be used in a real-world application. Finally, from a technological standpoint, this thesis may contribute to research and development efforts aimed at broadening the use of these types of approaches in a variety of systems.