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ISSN (Print): 1872-2121
ISSN (Online): 2212-4047

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Research Article

Design of Real Time Intelligent System for Women Safety

Author(s): Priyanka Kohli*, Kawaljeet Singh and Brahmaleen Kaur Sidhu

Volume 18, Issue 3, 2024

Published on: 28 April, 2023

Article ID: e180423216000 Pages: 7

DOI: 10.2174/1872212118666230418114726

Price: $65

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Abstract

Background: Even the technology has advanced a lot in these modern times, women's safety is still a massive issue. Women are not safe anywhere. Their safety is an essential and decisive issue in today’s world. They face extreme troubles when they are alone, travelling on lonely roads and at workplace. Education is essential for everyone and especially for women. It is a powerful weapon to end poverty. Government and NGOs have made many rules and regulations but the crime against women has not ended. There are many instances of harassment, abuse, eve-teasing, kidnapping, domestic violence and rape. Women are working equally as men but still their safety is a big challenge. With the boom in the IT and corporate sector, many women are now working and even during nightshifts.

Objectives: A Real Time Intelligent System for Women Safety has been proposed to overcome these limitations.

Methods: In this paper, many women's safety systems that were proposed or developed have been discussed. Major drawbacks in the current system, devices or applications have been highlighted. Latest technologies like machine learning, artificial intelligence or data science have been ignored.

Results: The proposed system will be highly sophisticated with the latest techniques and women will feel safe in all situations. It will predict the safe route while moving alone.

Conclusion: Moreover, it will record the evidence and will also suggest the rights of women.

Graphical Abstract

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