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Smart Campus: Based Automatic Attendance System Using Photo Face Recognition

Year: 2024

Type: article

Abstract: This review examines a number of experiments that use the Smart Attendance system to record attendance using facial recognition. In many organizational and educational contexts, managing attendance effectively and accurately is essential. Manual attendance tracking using traditional methods is laborious and prone to mistakes. The suggested system recognizes and confirms the identity of people in a certain context by using computer vision and deep learning techniques. It enables smooth and effective attendance tracking by using facial recognition algorithms to capture and match facial features with records already in a database.

Source: International Journal of Innovative Research in Advanced Engineering

DOI: 10.26562/ijirae.2024.v1112.06

Authors: Archana Singh, Dr. Ajay Sahu, Avinash Nishad, Atul Yadav, Astendra Pratap

Language: English

Topic: Face recognition and analysis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4405369049

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