Automatic Attendance system using Biometric Sensor and IVRS

Authors

  • Khushbu Yadav  ETC Department, RTMNU, Nagpur, Maharashtra, India
  • Harshada Chouksey  ETC Department, RTMNU, Nagpur, Maharashtra, India
  • Jyoti Yadav  ETC Department, RTMNU, Nagpur, Maharashtra, India
  • Dhanshri Bramhankar  ETC Department, RTMNU, Nagpur, Maharashtra, India
  • Dr. Sudhir Shelke  Principal, G.N.I.T. Nagpur, Maharashtra, India

Keywords:

Dual Tone Multi-Frequency (DTMF), Goertzel algorithm, Speech synthesis, Voice Over Internet Protocol.

Abstract

The Interactive Voice Response (IVR) System serves as a bridge between people and computer databases by connecting the telephone network with the database. The telephone user can access the information from anywhere at anytime simply by dialing a specified number and following an on-line instruction when a connection has been established. The IVR system uses pre-recorded or computer generated voice responses to provide information in response to an input from a telephone caller. The input may be given by means of touch-tone or Dual Tone Multi-Frequency (DTMF) signal, which is generated when a caller presses a key of his/her telephone set, and the sequence of messages to be played is determined dynamically according to an internal menu structure (maintained within the IVR application program) and the user input. The IVRS system which will be designed will provide an ideal platform for the operation of start-ups and existing small concerns. It will be a highly economical and efficient way to replace the Dialogic card which is very costly and requires a high maintenance and regular up gradation. The IVRS system which will be designed will consist of simple components like microcontroller and some basic application chips interfaced to a PC which will have small software running in the backend while the other jobs are performed on the front end and for Automatic Attendance system used Biometric finger print sensor and notification msg send through GSM module.

References

  1. C. Marven, "General-Purpose Tone Decoding and DTMF   Detection," in Theory, Algorithms,
  2. and Implementations, Digital Signal Processing Applications with the TMS320 Family, Vol. 2,
  3. Literature number SPRA016, Texas Instruments (1990).
  4. J. G. Proakis and D. G. Manolakis, Digital Signal Processing: Principles, Algorithms, and
  5. Applications, 2nd ed., Macmillan, New York, NY(1992). .http://www.dattalo.com/technical/theory/sinewave.html.
  6. Schenker, L (1960), "Pushbutton Calling with a Two-Group Voice-Frequency Code"
  7. ITU's recommendations for implementing DTMF services (PDF)

Downloads

Published

2018-04-30

Issue

Section

Research Articles

How to Cite

[1]
Khushbu Yadav, Harshada Chouksey, Jyoti Yadav, Dhanshri Bramhankar, Dr. Sudhir Shelke, " Automatic Attendance system using Biometric Sensor and IVRS, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 4, pp.115-119, March-April-2018.