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  Published Paper Details:

  Paper Title

SURVEY ON IOT & AI BASED SMART DOORBELL SYSTEM

  Authors

  S.B.Sahu,  Arati F. Paswan,  Kavita K. Tandi,  Priyanka V. Chunchawar,  Pooja R. Dekate

  Keywords

Internet of Things, Face Detection and Recognition in Azure, Smart Doorbell, Arduino, security, Thingspeak, Kairos, Microsoft Cognitive API.

  Abstract


In daily life, people have the need to know the identity of a visitor who comes to their organizations, regardless of whether they are there at that time. This need is even greater for people who suffer from some kind of disability that prevents them from meeting the visitor. To provide a solution in this sense, this paper proposes a smart model that performs the task of a doorbell, which should recognize the visitor and alert the user. To achieve that, this proposal incorporates technologies for facial recognition of visitors, notification to user and management of their responses. The complete process .i.e. recognition of visitor and notification to user and the related management problem divided into interrelated stages and their standardization issues are discussed later . Finally to test the effectiveness of the model, three scenarios where integrated; each one was composed by different organizations over which the recognition of known and unknown individual was analyzed.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1802256

  Paper ID - 182195

  Page Number(s) - 1992-1996

  Pubished in - Volume 6 | Issue 1 | February 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  S.B.Sahu,  Arati F. Paswan,  Kavita K. Tandi,  Priyanka V. Chunchawar,  Pooja R. Dekate,   "SURVEY ON IOT & AI BASED SMART DOORBELL SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.1992-1996, February 2018, Available at :http://www.ijcrt.org/papers/IJCRT1802256.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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