A Review of - Smart Attendance Monitoring System Using Raspberry Pi

ISBN-13: 9786206158424 / Angielski / Miękka / 2023 / 76 str.

Ramakrishna Kasukurthi; Joseph Chandu Kanta; Siva Niteesh Katta

Opis

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.

O autorze

Mr. K. Rama Krishna working as an Assistant Professorin the Department of Electronics and Communication Engineering, KKR AND KSR INSTITUTE OF TECHNOLOGY AND SCIENCES, with a specialization in Signals & Systems, Digital Electronics and Communication Systems, and Smart Antennas. He has good research exposure and published several research papers.