Automated Unlocking of Door upon Face detection
Citation
M.C.Harish Bharath, V.S.Siddharth"Automated Unlocking of Door upon Face detection", International Journal of Engineering Trends and Technology (IJETT), V30(4),166-169 December 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
The main aim of the paper is to develop
a program code of face detection and dump it
into the microcontroller specifically the raspberry
pi series so that it executes the program and
evaluates whether or not to unlock the door with the
help of a motor. Primarily the face picture is taken
with the help of the Universal Serial bus driver
(USB) webcam which is connected to the
microcontroller, the current image checks the
predefined database of images that was previously
stored. If the previous image is matched with the
current image the motor executes a twist which
opens the door or else the door remains locked .The
algorithm used for face recognition is Cellular
Neural Networks(CNN).Generally the labs and
confidential cabins, where precious information is
stacked , needs a high security so that no other third
party can access the room hence this project helps
to detect the faces of members of the group and
only allows them inside. The security can be
enhanced by varying the locks (high level) instead of
a motor.
References
1. An Improved Face Detection and Recognition Method
Based On Information of Skin Colour for Security System".
International Journal of Engineering Trends and Technology
(IJETT).
2. "Human Face Recognition using Elman Networks ",
International Journal of Engineering Trends and Technology
(IJETT)
3. “Cellular Neural Network “theory IEEE
4. A h a n d b o o k on h ow t o p r o c e e d wi t h
R a s p b e r r y p i microcontrollers
5. Face and eye detection algorithms by D N Balya
Online support www.raspberrypi.org
www.opencv.org for opencv image processing
6. A handbook on starting and initiating Raspberry.
7. Neural network based face detection by Baluja s and
Kannade T from ieee explore
Keywords
Face detection, Face recognition, Cellular
Neural Network, False rejection Rate, Rpi(Raspberry pi).