Smart Lock using Image Recognition

1
Afnanul Hassan
Afnanul Hassan
2
Zaria Fahamida
Zaria Fahamida
3
Proloy Sen
Proloy Sen
4
Dr. Syed Akhter Hossain
Dr. Syed Akhter Hossain

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GJCST Volume 20 Issue G6

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The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.
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In the 21st century, for a digital lifestyle in a smart city, security is one of the core ingredients to ensure digital continuity. The existing smart security technologies use a smartphone, card, and fingerprint that need additional devices to carry or can spread out infectious diseases. Now it is high time to think about an additional device free and more timeconsuming technique. So, an intelligent system is proposed in this paper to secure our doors with face authentication. The human face is a unique and easy identifying feature of a human. The registered user’s image is saved in the device as a dataset to train the lock. The system recognizes the registered faces very fast and controls the hardware part to be unlocked. The system is capable of detecting and recognizing human faces from a real-time video. It is usable in the door lock, car lock, hutch, and many more security purposes.

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12 Cites in Articles

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

afnanul_hassan. 2021. \u201cSmart Lock using Image Recognition\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 20 (GJCST Volume 20 Issue G6): .

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Issue Cover
GJCST Volume 20 Issue G6
Pg. 29- 33
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-G Classification: I.7.5
Version of record

v1.2

Issue date

January 8, 2021

Language

English

Experiance in AR

The methods for personal identification and authentication are no exception.

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The methods for personal identification and authentication are no exception.

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Smart Lock using Image Recognition

Afnanul Hassan
Afnanul Hassan
Zaria Fahamida
Zaria Fahamida
Proloy Sen
Proloy Sen
Dr. Syed Akhter Hossain
Dr. Syed Akhter Hossain

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