• Anusree R
• Arhith C V
• Swathy Chandran N
• Shana Santhosh

These days, face detection and recognition technologies are crucial, and we've seen that they have a wide range of applications, including in high-risk information offices, cell phones, and the military. As an alternative to the conventional paper and fingerprint attendance systems, we chose to create a device that can detect and recognize faces as a student attendance system. The creation and deployment of an automated attendance system utilizing facial recognition technology is investigated in this mini project. Utilizing Python and its robust libraries, including face_recognition, dlib, and OpenCV. The system seeks to offer a smooth and effective way to monitor attendance in corporate or educational environments. Through comparison with a pre-registered database of facial image data, faces are detected and recognized as part of the project. This method saves time and reduces errors by doing away with the need for conventional manual 4 attendance methods. Key features of the system include facial recognition, feature extraction, accuracy assurance, and robustness.

FACE RECOGNITION ATTENDANCE SYSTEM

"FACE RECOGNITION ATTENDANCE SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.4-8, July-2025, Available :http://www.jetir.org/papers/JETIRGX06002.pdf

"FACE RECOGNITION ATTENDANCE SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp4-8, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06002.pdf