ISSN 2394-5125
 

Research Article 


PROTOTYPE FOR FACE RECOGNITION BASED SMART DOOR LOCK USING RASPBERRY PI

MOHAN R,BHARATHI.V, RAGUPATHI.T,PRIYARADHIKADEVI. T.

Abstract
Security is one of the fundamental parts of regular day to day existence. From days of yore, individuals used to
give first concern to defend their homes by utilizing diverse entryway locking frameworks. Leave it alone for
access into the high-security premises to the regular man house, we generally wish to remain safe and
furthermore to shut out the trespassers diminishing concerns. We use from customary lock and key to extremely
modern remotely controlled sensor lock. In any case, every one of the locking frameworks has its negative
marks, once in a while it faces the circumstance where we either neglect to bolt the house or additionally in
some cases lose or lose the key, if there should be an occurrence of entryways with auto locking framework if
the keys are lost we have no option aside from cutting the lock . Additionally now and then individuals don't
keep the house separate from dread that somebody may burgle. For such reasons, the confidence in the
mechanized shrewd entryway lock framework is expanding. In the realm of rising innovations; people have
turned to biometric opening framework however biometric locking framework has its weaknesses like palms
with slick substances and sweat didn't perceived by the framework. The most unsafe factor in biometric
framework is the surface moved by a few people which can be a hotspot for transmitting savage infections; it is
very obvious in the ongoing flare-up of COVID-19 pandemic. To beat every one of these disservices locking
framework with face acknowledgment is a progressive exertion. So in this exploration, it suggests an entryway
lock security framework which is fit to open the entryway with a basic snap of our face. This security
framework has been created by incorporating profound learning and IOT. This security framework is created
utilizing the Raspberry Pi, Pi Camera, and Solenoid Lock. The unmistakable element of this framework is that it
utilizes the profound learning face acknowledgment procedure which builds the grouping precision. The
proposed framework yields 96.28% precision with a base example size. The transfer board is intended to trigger
the voltage rather than the current because of which it won't bomb regardless of whether a low Ampere current
is given to the framework. In crisis conditions, on the off chance that any unapproved passage occurred utilizing
the crisis button, at that point the framework shared the caught picture of the individual alongside the hour of
section to administrator through the mail.

Key words: Security, Face Recognition, IoT, Raspberry Pi, Pi Camera, Solenoid Lock, Deep learning, mail


 
ARTICLE TOOLS
Abstract
PDF Fulltext
How to cite this articleHow to cite this article
Citation Tools
Related Records
 Articles by MOHAN R
Articles by BHARATHI.V
Articles by RAGUPATHI.T
Articles by PRIYARADHIKADEVI. T
on Google
on Google Scholar


How to Cite this Article
Pubmed Style

MOHAN R,BHARATHI.V, RAGUPATHI.T,PRIYARADHIKADEVI. T. PROTOTYPE FOR FACE RECOGNITION BASED SMART DOOR LOCK USING RASPBERRY PI. JCR. 2020; 7(9): 2541-2546. doi:10.31838/jcr.07.09.410


Web Style

MOHAN R,BHARATHI.V, RAGUPATHI.T,PRIYARADHIKADEVI. T. PROTOTYPE FOR FACE RECOGNITION BASED SMART DOOR LOCK USING RASPBERRY PI. http://www.jcreview.com/?mno=107956 [Access: April 10, 2021]. doi:10.31838/jcr.07.09.410


AMA (American Medical Association) Style

MOHAN R,BHARATHI.V, RAGUPATHI.T,PRIYARADHIKADEVI. T. PROTOTYPE FOR FACE RECOGNITION BASED SMART DOOR LOCK USING RASPBERRY PI. JCR. 2020; 7(9): 2541-2546. doi:10.31838/jcr.07.09.410



Vancouver/ICMJE Style

MOHAN R,BHARATHI.V, RAGUPATHI.T,PRIYARADHIKADEVI. T. PROTOTYPE FOR FACE RECOGNITION BASED SMART DOOR LOCK USING RASPBERRY PI. JCR. (2020), [cited April 10, 2021]; 7(9): 2541-2546. doi:10.31838/jcr.07.09.410



Harvard Style

MOHAN R,BHARATHI.V, RAGUPATHI.T,PRIYARADHIKADEVI. T (2020) PROTOTYPE FOR FACE RECOGNITION BASED SMART DOOR LOCK USING RASPBERRY PI. JCR, 7 (9), 2541-2546. doi:10.31838/jcr.07.09.410



Turabian Style

MOHAN R,BHARATHI.V, RAGUPATHI.T,PRIYARADHIKADEVI. T. 2020. PROTOTYPE FOR FACE RECOGNITION BASED SMART DOOR LOCK USING RASPBERRY PI. Journal of Critical Reviews, 7 (9), 2541-2546. doi:10.31838/jcr.07.09.410



Chicago Style

MOHAN R,BHARATHI.V, RAGUPATHI.T,PRIYARADHIKADEVI. T. "PROTOTYPE FOR FACE RECOGNITION BASED SMART DOOR LOCK USING RASPBERRY PI." Journal of Critical Reviews 7 (2020), 2541-2546. doi:10.31838/jcr.07.09.410



MLA (The Modern Language Association) Style

MOHAN R,BHARATHI.V, RAGUPATHI.T,PRIYARADHIKADEVI. T. "PROTOTYPE FOR FACE RECOGNITION BASED SMART DOOR LOCK USING RASPBERRY PI." Journal of Critical Reviews 7.9 (2020), 2541-2546. Print. doi:10.31838/jcr.07.09.410



APA (American Psychological Association) Style

MOHAN R,BHARATHI.V, RAGUPATHI.T,PRIYARADHIKADEVI. T (2020) PROTOTYPE FOR FACE RECOGNITION BASED SMART DOOR LOCK USING RASPBERRY PI. Journal of Critical Reviews, 7 (9), 2541-2546. doi:10.31838/jcr.07.09.410