This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.
Poonam Chakravarty,
Jigar Pandya,
- Assistant Professor & HoD, Department of CSE/IT, Rai University, Ahmedabad, Gujarat, India
- Assistant Professor & HoD, Department of CSE/IT, Rai University, Ahmedabad, Gujarat, India
Abstract
The Facial Recognition Attendance System now a days revolutionizes traditional attendance tracking by seamlessly integrating cutting-edge image processing with the capabilities of Firebase Realtime Database. This user-friendly solution simplifies and transforms the attendance management experience. Imagine an intuitive interface utilizing facial recognition technology to effortlessly track attendance. Leveraging advanced face detection algorithms and the enchantment of computer vision, our system ensures accurate face recognition, making each individual unmistakably identifiable. Beyond the innovative face recognition, our system collaborates with Firebase Realtime Database, allowing attendance records to synchronize in real-time across all devices. Whether you’re an administrator or a user, updates occur instantaneously, providing an efficient and immediate attendance management experience. The proposed system automates the process and firebase provides the scalability, security, and accessibility, making this project a true game-changer without taking the bother of manual attendance tracking techniques. In essence, our project represents a user-friendly revolution in attendance management, merging the precision of facial recognition with the power of real-time, cloud-based database management. Welcome to a future where attendance tracking is not a chore but a seamless, intelligent experience.
Keywords: Facial recognition attendance system, image processing, OpenCV, firebase realtime database, computer vision, attendance management.
Poonam Chakravarty, Jigar Pandya. Real-Time Attendance System using Face Recognition Using OpenCV and Firebase Realtime Database. Journal of Image Processing & Pattern Recognition Progress. 2026; 13(02):-.
Poonam Chakravarty, Jigar Pandya. Real-Time Attendance System using Face Recognition Using OpenCV and Firebase Realtime Database. Journal of Image Processing & Pattern Recognition Progress. 2026; 13(02):-. Available from: https://journals.stmjournals.com/joipprp/article=2026/view=246770
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Journal of Image Processing & Pattern Recognition Progress
| Volume | 13 |
| 02 | |
| Received | 03/04/2026 |
| Accepted | 06/05/2026 |
| Published | 16/06/2026 |
| Publication Time | 74 Days |
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