A Review of - Smart Attendance Monitoring System Using Raspberry Pi: Face Recognition - Couverture souple

Kasukurthi, Ramakrishna; Kanta, Joseph Chandu; Katta, Siva Niteesh

Couverture souple

ISBN 10 : 620615842X ISBN 13 : 9786206158424

Editeur : LAP LAMBERT Academic Publishing, 2023

Synopsis

Our project illustrates the importance of automation in the present world using the concept of face recognition. As we all know, a person's face plays a significant role in establishing their identity. This project consists of OpenCV algorithm modules running in Python. This effort also gives people hope for greater improvisation and fresh thinking in light of impending advancements in hardware and technology. The model has a 99.38% accuracy rate and offers a straightforward command line utility for face recognition. This tool is superior to generic algorithms because it just requires one image to work with and does not require grayscale conversion. Thousands of samples are required for the Haar cascade, LBPH, and Eigenface algorithms to determine the distance between points and pixels in an image. The Raspberry Pi's built-in email functionality is used to utilize IOT. We're helped in this via SMT Protocol. There may be plans for the project to boost model accuracy and speed in the future.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2023
• Langue: anglais
• ISBN 10: 620615842X
• ISBN 13: 9786206158424
• Reliure: Broché
• Nombre de pages: 76
• Coordonnées du fabricant: non disponible
• Personne responsable: KreGa Onlinehandel GmbH; 4950000000000; info@krega-onlinehandel.de; ; Birkenweg 31; Brakel; 33034; Allemagne