Name: A Review of - Smart Attendance Monitoring System Using Raspberry Pi (en Inglés)
SKU: 56782277
Price: 1052.33 MXN
Availability: InStock
Author: Kasukurthi, Ramakrishna ; Kanta, Joseph Chandu ; Katta, Siva Niteesh
ISBN: 9786206158424

portada A Review of - Smart Attendance Monitoring System Using Raspberry Pi (en Inglés)

A Review of - Smart Attendance Monitoring System Using Raspberry Pi (en Inglés)

Formato

Libro Físico

Autor

Ramakrishna Kasukurthi

Joseph Chandu Kanta

Siva Niteesh Katta

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.5 cm

Peso

0.12 kg.

ISBN13

9786206158424

Categorías

Ingeniería electrónica

A Review of - Smart Attendance Monitoring System Using Raspberry Pi (en Inglés)

Ramakrishna Kasukurthi (Autor) · Joseph Chandu Kanta (Autor) · Siva Niteesh Katta (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "A Review of - Smart Attendance Monitoring System Using Raspberry Pi (en Inglés)"

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.