• Harshit Agarwal
  • Govinda Verma
  • Lakshya Gupta


Face Recognition Attendance system is important in schools and institutions. In school and institution is not easy to maintain the attendance records in paper and file. Therefore, an existing system that uses a face recognition attendance system increases accuracy and it takes less time as compared to another method. There are a lot of systems available such as face recognition using  “IR motion” sensors, etc. With automatic face recognition attendance system, hardware devices(software), helpfull. But the challenge is to keep all the nerves properly without getting hurt. the face recognition attendance system we use javascripts,node.js and library are used tensorflow.js and face-API. It can take pictures from 50- 70cm. We create a graphical interface that takes pictures, builds a database ,and trains the database with  one click.

Keywords: IR motion, face-API


Download data is not yet available.


[1] S. Min, B. Lee, and S. Yoon, “Deep learning in bioinformatics,” Briefings in Bioinformatics, 2016.
[2] G. Dahl, N. Jaitly, “Multi-task Neural Networks for QSAR Predictions,” University of Toronto, 2014.
[3] K. Zhang, Z. Zhang, Z. Li and Y. Qiao, "Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks," in IEEE Signal Processing Letters, vol. 23, no. 10, pp. 1499- 1503, Oct. 2016. doi: 10.1109/LSP.2016.2603342.
[4] S. Linnainmaa, “The representation of The cumulative rounding blunders of an set of rules as a Taylor growth of the local rounding errors,” Master’s thesis, Univ. Helsinki, 1970.
[5] P. J. Werbos, “Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences,” PhD thesis, Harvard University, 1974.
[6] J. Yu and C. Li, "Face Recognition Based on Euclidean Distance and Texture Features," 2013 International Conference on Computational and Information Sciences, Shiyang, 2013, pp. 211- 213. doi: 10.1109/ICCIS.2013.63.
0 Views | 0 Downloads
How to Cite
Agarwal, H., Verma, G., & Gupta, L. (2021). STUDENT ATTENDANCE SYSTEM BASED ON THE FACE RECOGNITION. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 7(2), 70-73.