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Open Access
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Sai Satya Navya Sri Vasamsetti, Nama Hema Vara Sanjeevi, Manas Kumar Yogi
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- Student, Student, Assistant Professor Computer Science Engineering Department, Pragati Engineering College (Autonomous), Surampalem, Computer Science Engineering Department, Pragati Engineering College (Autonomous), Surampalem, Andhra Pradesh, India, Computer Science Engineering Department, Pragati Engineering College (Autonomous), Surampalem Andhra Pradesh, Andhra Pradesh, Andhra Pradesh India, India, India
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Abstract
nThe integration of AI-based smart surveillance systems in enhancing women’s safety and security has been a focal point of research and development. This literature study explores the impact of information technology advancements, particularly in the realm of mobile applications, GPS tracking, and social media platforms, on improving women’s safety. Noteworthy contributions include the development of apps such as Circle of 6 and Be Safe, which offer women immediate access to emergency contacts and support during critical situations, featuring functionalities like emergency alarms and GPS tracking. Studies have underscored the efficacy of GPS tracking systems in augmenting women’s security by facilitating swift location identification and prompt notification of authorities. Furthermore, the role of social media platforms in supporting survivors, raising awareness about violence against women, advocating for policy changes, and mobilizing communities for women’s safety improvement has been highlighted. The integration of artificial intelligence and IoT technologies has revolutionized women’s security systems, providing tailored security solutions that proactively address the unique challenges faced by women. This abstract encapsulates the evolution of AI-based smart surveillance systems and their significant contributions to empowering women with enhanced safety measures and peace of mind in various environments.
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Keywords: AI, Women Safety, Alert, smart surveillance systems
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Remote Sensing & GIS(jorsg)]
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References
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- Pasam, Vasantha Rama Lakshmi, et al. “Smart Intelligent Security System for Women.” International Journal of Electronics and Communication Engineering & Technology, vol. 7, no. 2, 2016, pp. 41–46.
- Patil, Priya, and Priyanka Das. “Electronic Device for Women Safety.” Times of India, 15 Sept. 2013.
- Vijaylashmi, B., et al. “Self Defence System for Women with Location Tracking and SMS Alerting through GSM Network.” International Journal of Research in Engineering and Technology, vol. 4, no. 5, 2015.
- Reardon, Kathleen. “Feminist Concepts of Peace and Security.” Feminist Perspectives on Peace and Peace Education, edited by Betty Reardon, Pergamon Press, 1984, p. 139.
- Masario, G., et al. “An In-Vehicle Infotainment Software Architecture Based on Google Android.” 2009 IEEE International Symposium on Industrial Embedded Systems, 2009, pp. 257–260. DOI: 10.1109/SIES.2009.5196206.
- Jain, Aditi, and Shivani Gambhir. “Socio-Economic Women Empowerment: Sharp Focus.” International Journal of Application or Innovation in Engineering & Management, vol. 3, no. 4, 2014.
- Chougula, Basavaraj, et al. “Smart Security System.” International Journal of Application or Innovation in Engineering & Management, vol. 3, no. 4, 2014.
- Miriyala, Geetha Pratyusha, et al. “Automatic Prediction and Identification of Smart Women Safety Wearable Devices Using Machine Learning Techniques.” Journal of Information Technology Management, vol. 32, no. 4, 2021. DOI: 10.22059/jitm.2021.80524.
- Yin, Jie, et al. “A Literature Review on Smartphone-Based Sensing for Personal and Community Health.” Pervasive and Mobile Computing, vol. 37, 2017, pp. 1–22. DOI: 10.1016/j.pmcj.2016.09.003.
- Kaur, Manpreet, and Rajinder Sandhu. “GPS Tracking System for Women Safety.” International Journal of Computer Applications, vol. 182, no. 52, 2019, pp. 1–5. DOI: 10.5120/ijca2019918806.
- Friedman, Jaclyn, and Jessica Valenti, editors. Yes Means Yes!: Visions of Female Sexual Power and a World Without Rape. Seal Press, 2018.
- Miriyala, Geetha Pratyusha, et al. “Sensing and Artificial Intelligent Maternal-Infant Health Care Systems.” Sensors, vol. 22, no. 9, 2022, p. 3428. DOI: 10.3390/s22093428.
- Miriyala, Geetha Pratyusha, et al. “AI-Based Advanced Surveillance Approach for Women’s Safety.” Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries, edited by Sanjay Misra et al., IGI Global, 2022, pp. 343–365. DOI: 10.4018/978-1-7998-8284-1.ch015.
- Miriyala, Geetha Pratyusha, et al. “Horizontal Review on Video Surveillance for Smart Cities.” Sensors, vol. 21, no. 11, 2021, p. 3679. DOI: 10.3390/s21113679.
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| Volume | 15 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | May 9, 2024 | |
| Accepted | June 3, 2024 | |
| Published | June 10, 2024 |
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