Smart and Secure Home Using Facial Recognition System
- August 4, 2019
- Posted by: RSIS
- Categories: Electrical and Electronics Engineering, Electronics & Communication Engineering
International Journal of Research and Scientific Innovation (IJRSI) | Volume VI, Issue VII, July 2019 | ISSN 2321–2705
Smart and Secure Home Using Facial Recognition System
Rashmi N1, Khazal Ammaarah2, Ujwala L3
1,2,3Department of Electronics and Communication, BMS Institute of Technology and Management, Avalahalli Yelahanka Bengaluru 560064, Karnataka, India
Abstract–The two important facets of human being is security and surveillance. The most significant feature of any home security system is to be able to detect who is entering or leaving the house. This paper presents a new technique which can prevent theft in highly secure home environment with reduced power consumption and more reliable standalone security device for both security and intruder detection through “face recognition door lock security system”. This system is acheived by using Raspberry pi circuit.Each time an individual walks in front of the door, the system recognizes the face and if the face is recorded then the door is unlocked. Otherwise the door does not unlock.
Keywords: Smart home, secure home, Cascade classifiers, Object detectors.
I. INTRODUCTION
Biometrics is the technical term for body measurements and calculations. It refers to metrics related to human characteristics. Biometrics authentication is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance if they are the person they claim to be. Biometrics verification can be achieved through the property that human trait linked to a person is like a unique data stream. Some solutions are already available in the market such as: passwords or pins have been in use for security. These solutions still have many disadvantages as they fail to provide complete protection leading to theft till date. Instead, facial recognition can be used as they are one’s biometric trait. These are distinctive and cannot be altered or stolen easily. The level of security is thereby increased.
This paper is mainly focused on facial recognition aspect. Face is most commonly used biometric to recognize people. Over the decade facial recognition has received extensive attention from researchers and developers due to human activities present in various applications such as security like airport, criminal detection, face tracking and forensics. In comparison to all the other biometrics that are present like palm print, iris or fingerprint, face recognition is comparatively non-intrusive in nature.
