Μηχανική εκμάθηση αναγνώρισης προσώπου με προεπεξεργασία ανάλυσης δεδομένων ροής
Machine learning based identification with stream preprocessing
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Keywords
Αναγνώριση προσώπου ; Python ; OpenCV ; KNN ; FLASKAbstract
This undergraduate thesis focuses on the development of a facial recognition system using machine learning techniques, aiming at the automatic recording of attendance in real time. The system leverages modern deep learning algorithms to detect and identify individuals, providing a fast, reliable, and non-intrusive solution for environments such as classrooms, universities, or workplaces. The need for accurate and efficient face recognition methods is more relevant than ever, both for security purposes and for simplifying daily human resource management. The proposed system seeks to address this need by combining the innovation of artificial intelligence with the practicality of automated attendance tracking.
Department
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα ΠληροφορικήςNumber of pages
41Language
GreekCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα