Human Face Detection System for Door Security

Authors

  • Shrutika V. Deshmukh  ME Student, Department of Electronics and Telecommunication, HVPM’s College of Engineering and Technology, Amravati, Maharashtra, India
  • Prof. Dr. U. A. Kshirsagar  HOD, Department of Electronics and Telecommunication, HVPM’s College of Engineering and Technology Amravati, Maharashtra, India

Keywords:

Face detection, Raspberry Pi, Door security, Python

Abstract

Face detection is challenging problems up to date; there is no technique that provides a robust solution to all situations. This paper presents a new technique for human face detection. Face detection is concerned with finding real image. Most face detection algorithms are designed in the software domain and have a high detection rate, but they often require several seconds to detect faces in a single image, a processing speed that is insufficient for real-time applications. This describes a simple and easy hardware implementation of face detection system using Raspberry Pi, which itself is a minicomputer of a credit card size. The system will program using Python programming language. Both real time face detection and detection from specific images, i.e. Object Recognition, will be carried out and the proposed system will test across various standard face databases, with and without noise and blurring effects.

References

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International Journal of Scientific Research in Science and Technology

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Published

2017-02-28

Issue

Volume 3, Issue 1, January-February-2017

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

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

How to Cite

[1]
Shrutika V. Deshmukh, Prof. Dr. U. A. Kshirsagar, " Human Face Detection System for Door Security, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 1, pp.390-393 , January-February-2017.