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  Published Paper Details:

  Paper Title

IOT BASED REAL TIME FACE RECOGNITION AND WEAPON DETECTION DOOR LOCK SYSTEM USING NEURAL NETWORK.

  Authors

  Ishwari Thakur,  Ruchika Chaudhari,  Punam Khairnar,  Jagruti Pawar,  Dattatray Shingate

  Keywords

Internet of Things(IoT), Neural Network, Raspberry Pi, Face Recognition, Weapon Detection

  Abstract


Approximately ,there are 2.5 million burglaries a year , out of which 66% of those are home break ins. There is at least one burglary every 13 seconds. Smart door lock security systems have become indispensable in daily life. Security systems prevent robbery in highly secure areas such as home environments with lesser power consumption and also more reliable standalone security devices for door lock systems as well as Intruder detection. Also nowadays, privacy and security has become an important issue in our day to day life. Burglary and global attacks continue to escalate ,so it is exigent to find different solutions to ensure the safety of individuals.And, to ensure that in our daily life we are secure, a lot of research is going on in the field of IoT. Security matters to this day and that�s why we are up with this project of Face recognition and weapon detection systems. We are developing this approach using Raspberry-pi, where a person is allowed to enter the house only if his/her face is recognized by the system and he does not carry any weapon with him.This proposed system is more reliable and effective through the point of view of security.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2011358

  Paper ID - 201099

  Page Number(s) - 3057-3059

  Pubished in - Volume 8 | Issue 11 | November 2020

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Ishwari Thakur,  Ruchika Chaudhari,  Punam Khairnar,  Jagruti Pawar,  Dattatray Shingate,   " IOT BASED REAL TIME FACE RECOGNITION AND WEAPON DETECTION DOOR LOCK SYSTEM USING NEURAL NETWORK.", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 11, pp.3057-3059, November 2020, Available at :http://www.ijcrt.org/papers/IJCRT2011358.pdf

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