Χρήση τεχνολογίας NFC για τον έλεγχο φυσικής και λογικής πρόσβασης με χρήση τεχνητής νοημοσύνης
Near field communication technology with AI-driven authentication and access control
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Keywords
Web application ; Docker ; FastApi ; Isolation forest ; Java ; ML model ; NFC ; Quasar ; Python ; Machine learning ; Springboot ; FastApi ; PostgresAbstract
The aim of this master's thesis is the development of a web platform for the management of
user access to physical infrastructures, utilizing innovative technologies and machine learning
models. The platform will use NFC tags for the safe and efficient entry of users into facilities with
high security requirements.
The platform will incorporate machine learning algorithms to detect suspicious behavior and
prevent unwanted incidents, with the aim of improving security and user experience. The
implementation of the platform aims to provide high accuracy and reliability while ensuring ease
of use for end users.
The existence of NFC tags is assumed, which will have been distributed to already registered
users.