FACE ATTENDANCE SYSTEM
Miss. Sonali Mehandole
PG Scholar
Department of Computer Application
G. H. Raisoni University, Amravati,Nagpur India
Received on: 17 June ,2024 Revised on: 19 July ,2024 Published on: 31 July ,2024
Abstract— The Face Attendance System is an advanced solution designed to automate the process of attendance marking using facial recognition technology. Traditional methods of tracking attendance, such as manual entry or card-based systems, are often time-consuming and prone to errors. This project leverages state-of-the-art image processing and machine learning techniques to create a more efficient and accurate system for verifying the presence of individuals in real-time. The system comprises both hardware and software components. A high-resolution camera captures images of individuals, which are then processed by the system to detect and recognize faces. Using algorithms like OpenCV for image processing and deep learning models for facial recognition, the system compares captured images with a pre-stored database of facial images to identify individuals. Once a match is found, the system automatically marks the individual’s attendance and updates the records in a centralized database.
IndexTerms – Facial Recognition, Attendance Management, Image Processing, Machine Learning,Real-Time Processing, Automated Attendance,Biometric Authentication
DOI LINK – https://doi.org/10.69758/GIMRJ2407II0IV12P0003
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