Home Security Surveillance using Face Detection Technique
Shaik Ahmadsaidulu1, D. Ravi Chandra2, U. Vinith3

1Shaik Ahmadsaidulu, Assistant Professor, Department of ECE, Koneru Lakshmaiah Educational Foundation, Vaddeswaram (A.P), India.
2D.Ravi Chandra, Student, Department of ECE, Koneru Lakshmaiah Educational Foundation, Vaddeswaram (A.P), India.
3U.Vinith, Student, Department of ECE, Koneru Lakshmaiah Educational Foundation, Vaddeswaram (A.P), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1474-1477 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3890048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In today’s society, privacy has become a major problem, Human face acknowledgment is a fundamental piece of biometric check and has been commonly used in various applications, for instance, video screen framework, human-PC correspondence and door control framework and framework security. The purpose of this home automation surveillance technique is it is used to protect the privacy of a person. When a person is entering the house, there we can use this surveillance system to identify the information about the person. Many techniques were introduced to detect the identity of a person and many require a pre enabled dataset path for that purpose. In this paper we have enhanced a new way to detect the face of a human being in real-time environment in different situations.
Keyword: Opencv, IDLE, Detection, Dataset, LBPH, Numpy, PIL.
Scope of the Article: Security Service Systems