• Mathina P A
• Keerthana R
• Mahalakshmi M
• Subhazini N

Automatic attendance maintenance systems is very needy in the real time environments Deep learning methods, especially convolutional neural networks have achieved significant success in the area of computer vision including the difficult face recognition problems. Training of deep models shows unique performance with large datasets, but they are not suitable for learning from few samples. This paper proposes a hardware and software based face recognition based attendance system using deep neural networks. The software is used to recognize the faces using deep learning approach with the help of MATLAB. We need to train the system based on the corresponding person faces, then if the person is recognized the corresponding signal goes to the serial port of the computer, we are connecting arduino with GSM in the serial port of the system .when the person recognized the GSM will activate the message so that he can enroll his attendance to corresponding mobile number, It can be done by the real time environments.

Attendance system, face detection, MATLAB, face recognition, neural network.

"CYBERNETIC ATTENDANCE MANAGEMENT SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.113-118, May-2019, Available :http://www.jetir.org/papers/JETIRBJ06023.pdf

"CYBERNETIC ATTENDANCE MANAGEMENT SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp113-118, May-2019, Available at : http://www.jetir.org/papers/JETIRBJ06023.pdf