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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013
Google Scholar Impact Factor- 7.37 (Year 2020)
Impact factor 7.37 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Scholarly open access , Peer-reviewed, and Refereed, Multidisciplinary, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) journal.

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Volume 8 | Issue 1
Last Date : 29 March 2020


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Paper Details
Paper Title
Creation Of Third Vision For Women Safety Using Deep Learning
Authors
  Rekha Arumugam,  Madhurikkha S

Abstract
In this paper we find some unique design requirements for women’s safety. In today’s world women safety is the most important issue in very country. Women are harassed and troubled and sometimes when the urgent help is needed, there is no required location of the women so that people can help. Its necessity that we are all aware of importance of women safety, but we must analyse that they should be properly protected. The earlier existing system are helpful in detecting the women’s location after the crime has been committed. In this project we will be using the women’s handbag in which we will be fixing camera lenses, and which will be carried anywhere they go. Whenever she comes in contact with any person outside, an image of that person is taken, and the activities of the person can be monitored continuously. If the person behaves normally the image can be of no use and can be deleted. But if the activities of the person vary resulting in any harmful action then our system will detect it and process the captured image and it will send to the police and family members with GPS location tracked from IP address. Thus, our project helps in saving the life of a women and safeguarding her in the present situation.

Keywords- Human Action Recognition, Deep Learning, GPS, Camera Lenses, IP address, SMS.
Publication Details
Unique Identification Number - IJEDR2001020
Page Number(s) - 103-106
Pubished in - Volume 8 | Issue 1 | January 2020
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Rekha Arumugam,  Madhurikkha S,   "Creation Of Third Vision For Women Safety Using Deep Learning", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 1, pp.103-106, January 2020, Available at :http://www.ijedr.org/papers/IJEDR2001020.pdf
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