Face Recognition-Based Attendance System Using Python: A Novel Approach to Automated Attendance Management

Face Recognition-Based Attendance System Using Python: A Novel Approach to Automated Attendance Management

Shaheer S1, Adarsh V2, Afsal Ansari3, Salman Sunil4, Nishil A5

1 Department of Electronics and Communication Engineering, Younus College of Engineering and Technology

2 Department of Computer Science and Engineering, College of Engineering Karunagappally

3 Department of Electronics and Communication Engineering, Younus College of Engineering and Technology

4 Department of Electronics and Communication Engineering, Younus College of Engineering and Technology

5Department of Electronics and Communication Engineering, Younus College of Engineering and Technology

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Abstract - This study shows a face recognition-based attendance system created with Python. It uses machine learning algorithms to boost accuracy and productivity. Old-school attendance methods often needed to be corrected and took a lot of time. This new system changes that by using real-time facial recognition to do the job. The system relies on a mix of Logistic Regression, Support Vector Machines (SVM), and Random Forest classifiers, with a Voting Classifier to make sure it works as well as possible. The team did a lot of work to clean up facial images and fine-tune settings to make the model more accurate. The results show big improvements in managing attendance, with high accuracy and strong performance in different settings. This system offers a solution that can grow with organizations looking to simplify attendance tracking, reduce human mistakes, and make their operations more effective.

Key Words:  Face recognition, attendance system, machine learning, real-time application, Voting Classifier, Python.