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AI-Based Advanced Surveillance Approach for Women's Safety

Mohammad Shahnawaz Shaikh, Sivaram Ponnusamy, Syed Ibad Ali, Minakshi Wanjari, Sheetal Mungale, Asif Ali, Imran Baig

2024Advances in computational intelligence and robotics book series31 citationsDOI

Abstract

This chapter explores the role of information technology in enhancing women's safety, encompassing mobile apps, GPS tracking, and social media. It also introduces a proposed system leveraging GPS and Google Mobile Services to bolster women's safety. The review underscores technology's potential to empower women while acknowledging the challenges and constraints associated with its use for this purpose. Additionally, it outlines future improvements aimed at enhancing the precision and dependability of mobile apps for women's safety, addressing online harassment, and augmenting the accessibility of online resources. The chapter emphasizes the potential of technology to empower women and addresses the challenges and limitations of using technology for women's safety. It also suggests future enhancements for improving the accuracy and reliability of mobile apps for women's safety, addressing online harassment, and improving the accessibility of online resources. It advocates for research focusing on evaluating the effectiveness of different technologies focused on gender-based violence.

Topics & Concepts

Computer scienceComputer securityIoT and GPS-based Vehicle Safety Systems
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