Automated Human Resource and Attendance Management System Based On Real Time Face Recognition

Authors

  • Taniya Kamble  BE Scholars, Department of Computer Science & Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Nidhi Mankar  BE Scholars, Department of Computer Science & Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Nandini Thakare  BE Scholars, Department of Computer Science & Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Shivani Rebhe  BE Scholars, Department of Computer Science & Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Shivani Bhange  BE Scholars, Department of Computer Science & Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Prof. Hemant Turkar  Assistant Professor, Department of Computer Science & Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India

Keywords:

Real Time Face Recognition, Smart Attendance, HRMS, Bio-Metric Attendance System

Abstract

Automatic face recognition (AFR) innovations have seen sensational enhancements in execution over the previous years, and such systems are presently generally utilized for security and business applications. A system for human face recognition for an association to stamp the attendance of the employees is been executed. So Smart Attendance utilizing Real Time Face Recognition is a genuine arrangement which accompanies everyday exercises of dealing with employees. The errand is exceptionally troublesome as the ongoing foundation subtraction in a picture is as yet a test. To identify ongoing human face are utilized and a basic quick Principal Component Analysis has used to perceive the faces identified with a high exactness rate. The coordinated face is utilized to stamp attendance of the representative. Our system keeps up the attendance records of employees consequently.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-02-28

Issue

Volume 4, Issue 1, January-February-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Taniya Kamble, Nidhi Mankar, Nandini Thakare, Shivani Rebhe, Shivani Bhange, Prof. Hemant Turkar, " Automated Human Resource and Attendance Management System Based On Real Time Face Recognition, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 1, pp.847-853, January-February-2018.