CHITRAHI: AI-Powered Real-Time Face Recognition Based Attendance and Visitor Management System
Dhiraj Singh
Scholar, Department of Computer Science & Engineering (AI & ML) , KIPM College of Engineering and Technology, U.P., India
Rashi Gupta
Scholar, Department of Computer Science & Engineering (AI & ML) , KIPM College of Engineering and Technology, U.P., India
Akarsh Yadav
Assistant Professor, Department of Computer Science & Engineering, KIPM College of Engineering and Technology, U.P., India
📌 DOI: https://doi.org/10.63920/tjths.52007
🔑 Keywords: Artificial Intelligence, Face Recognition, Deep Learning, Computer Vision, Attendance Automation, Gender Classification
📅 Publication Date: 24 March 2026
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Abstract:
CHITRAHI is an AI-powered real-time identity recognition system designed to automate attendance monitoring and visitor management. Traditional attendance systems suffer from multiple limitations such as proxy attendance,manual errors, and lack of real-time tracking capabilities. These issues reduce the efficiency and reliability of attendance systems in educational institutions and organizations. To overcome these challenges, the proposed system utilizes computer vision and deep learning techniques for face detection, recognition, and gender classification. The system captures live video streams, identifies individuals using facial encodings, and automatically logs entry and exit data. A cooldown mechanism is implemented to prevent duplicate entries and ensure accurate data recording. Additionally, a user-friendly interface is integrated using the EEL framework, enabling non-technical users to operate the system effectively. The experimental results demonstrate that the system provides high accuracy, efficient performance, and reliable real-time monitoring, making it suitable for practical deployment.
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📖 How to Cite
Singh, D., Gupta, R., & Yadav, A. (2026). CHITRAHI: AI-Powered Real-Time Face Recognition Based Attendance and Visitor Management System. TEJAS J. Technol. Humanit. Sci.,, Vol. 05, Issue 02. https://doi.org/10.63920/tjths.52007
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