Facial Recognition Based Door Locking System
Abstract & Details
Research Area
Electronics Engineering
Keywords
Security
face recognition
PIR sensor
Eigen face algorithm
MATLAB etc
Abstract
Security describes protection of life and property. The main purpose of this system is to provide better security by using face recognition technique. Eigen face algorithm is a basis for face recognition that provides high accuracy and moderate sensitivity to variations in the intensity of light. It is one of the fastest way to identify faces. This project works in two modes: offline and online. Firstly, the PIR sensor senses the person standing outside the door. Then camera receives instruction to capture image of person standing in front of the door. This captured image is compared to the images stored in the database. The person standing in front of the door will be granted access, if his/her image is recognized. If it’s not the authorized person gets a notification via GSM. If the authorized person grants permission, only then the door will open. Or else it will remain closed for further action. This project makes use of Laptop as a processing unit. It uses MATLAB software to carry out the face recognition procedure. The system takes input image by capturing a real time image for online process. For offline process the input image is given manually.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Dimpal Gautam | PRIYADARSHINI J L COLLEGE OF ENGINEERING NAGPUR |
| 2 | Pranita Yerne | PRIYADARSHINI J L COLLEGE OF ENGINEERING NAGPUR |
| 3 | Priya Ghonge | PRIYADARSHINI J L COLLEGE OF ENGINEERING NAGPUR |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Gautam, Dimpal, Yerne, Pranita, & Ghonge, Priya (2021). Facial Recognition Based Door Locking System. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 2821-2824.
MLA Style
Gautam, Dimpal, et al. "Facial Recognition Based Door Locking System." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 2821-2824.
IEEE Style
Dimpal Gautam, Pranita Yerne, and Priya Ghonge, "Facial Recognition Based Door Locking System," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 2821-2824, 2021.
Vancouver Style
Gautam Dimpal, Yerne Pranita, Ghonge Priya. Facial Recognition Based Door Locking System. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):2821-2824.
Harvard Style
Gautam, Dimpal, Yerne, Pranita, & Ghonge, Priya (2021) 'Facial Recognition Based Door Locking System', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 2821-2824.
Chicago Style
Gautam, Dimpal, Pranita Yerne, and Priya Ghonge. "Facial Recognition Based Door Locking System." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 2821-2824.
Turabian Style
Gautam, Dimpal, Pranita Yerne, and Priya Ghonge. "Facial Recognition Based Door Locking System." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 2821-2824.
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