IoT-Based Nerve Stimulator for Women’s Safety
Article Sidebar
Main Article Content
Abstract
Women deserve a right to live free from intimidation, mistreatment, unfair treatment, and eliminating hurdles from a hazardous workplace can help them reach their maximum potential both personally and as contributions to economies, societies, and the workplace. Physical, emotional, and environmental safety have a variety of effects on wellbeing, including stress management, emotional stability, and physical health. The Women Safety System with Nerve Stimulator is a comprehensive system that integrates essential components for women's safety using an Arduino Uno microcontroller. It has an SOS button for emergency activation, a temperature sensor for environmental monitoring, a pulse oximeter for tracking health, a buzzer for auditory warnings, a relay for controlling other devices, a 5V DC vibration motor for tactile feedback, and a rechargeable battery for mobility. In an emergency, the Nerve Stimulator draws attention from nearby by producing controlled vibrations, which improves security. Ongoing global positioning system (GPS) monitoring guarantees accurate position awareness, and a buzzer warns users and anyone in the vicinity of possible hazards. The relay for controlling remote equipment adds to the system's versatility, while the SOS button triggers emergency actions like GPS location sharing. Rechargeable batteries provide continuous functioning, which in turn guarantees the dependability and efficacy of the system in protecting women's safety.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
All articles published in JIWE are licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) License. Readers are allowed to
- Share — copy and redistribute the material in any medium or format under the following conditions:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use;
- NonCommercial — You may not use the material for commercial purposes;
- NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
References
S. Verma (2024), India Records 51 Cases of Crime against Women in Every Hour; Over 4.4 Lakh cases in 2022: NCRB Report-Times of India [Online], Available: https://timesofindia.indiatimes.com/india/india-records-51-cases-of- crime- against-women-every-hour-over-4-4-lakh-cases-in-2022-ncrb-report/articleshow/105731269.cms.
Ministry of Women and Child Development, “Nirbhaya Fund”, Available: https://www.pib.gov.in/PressReleasePage.aspx?PRID=1843810, Posted on: 22 JUL 2022.
Express News Service, “Women safety schemes: MHA gets Rs 1,105 crore, Nirbhaya Fund doubled”, Available: https://www.newindianexpress.com/nation/2024/Jul/24/women-safety-schemes-mha-gets-rs-1105-crore-nirbhaya-fund-doubled, Last updated on: 24 Jul 2024.
P. Sunil, “Smart intelligent security system for women,” IJECET, vol. 7, no. 2, March-April 2016.
D. G. Monisha, M. Monisha, G. Pavithra and R. Subhashini, “Women safety device and application-FEMME,” Indian Journal of Science and Technology, vol. 9, no. 10, pp. 1-6, 2016.
M. Zikriya and M. G. Parmeshwar, S. R. Math, S. Tankasali and J. D. Mallapur, “Smart Gadget for Women Safety Using IoT,” International Journal of Engineering Research & Technology, vol. 6, no. 13, pp. 1-5, 2018.
S. Priyanka, Shivashankar, K. P. Roshini, S. P. Reddy and K. Rakesh, “Design and implementation of SALVUS women safety device,” in proc. 2018 3rd IEEE Int. Conf. Recent Trends Electron. Inf. Commun. Technol. RTEICT 2018, pp. 2438–2442, 2018, DOI: 10.1109/RTEICT42901.2018.9012442.
U. Rai, K. Miglani, A. Saha, B. Sahoo, and M. Vergin Raja Sarobin, “Reach out Smart Safety Device,” In proc. 2018 6th Ed. Int. Conf. Wirel. Networks Embed. Syst. WECON 2018, pp. 131–134, 2018, DOI: 10.1109/WECON.2018.8782071.
A. P. Thaware, “Safety device for women’s security using GSM/GPS,” International Journal on Recent and innovation trends in computing and communication, vol.5, no. 4, pp. 5-7, 2017.
E. K. Remya and N. Revathy, “One Touch Alarm System for Women’s Safety using GSM”, IJARIIT, vol. 4, no. 2, 2018.
R. S. Yadlapalli, V. P. Rama Lakshmi, T. K. and A. Miriyala, "Smart Intelligent Security System for Women," International Journal of Electronics and Communication Engineering & Technology (IJECET), vol. 7, no. 2, p. 41–46, April 2016.
G. C. Harikiran, K. Menasinka and S. Shirol, "Smart security solution for women based on Internet of Things (IoT)," International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016.
W. Akram, M. Jain and H. C. Sweetlin, "Design of a Smart Safety Device for Women using IoT," in Proc. International Conference on Recent Trends in Advanced Computing (ICRTAC), vol. 165, pp. 656-662, 2019.
K. Seelam and K. Prasanti, “A Novel Approach to Provide Protection for Women by using Smart Security Device,” in Proc. of 2nd International Conference on Inventive Systems and Control (ICISC), pp. 351-357, 2018.
M. I. Hanif, A. Shakil, and A. Wahiduzzaman , "Anti Molestation: An IoT based Device for Women’s SelfSecurity System to Avoid Unlawful Activities," (IJACSA) International Journal of Advanced Computer Science and Applications, vol. 11, no. 11, pp. 722-727, 2020.
T. P. Suma and G. Rekha, “Study on IoT Based Women Safety Devices with Screaming Detection and Video Capturing,” International Journal of Engineering Applied Sciences and Technology, vol. 6, no. 7, pp. 257-262, 2021.
Scream Detection, Available: https://www.geeksforgeeks.org/human-screamdetection-and-analysis-for-controlling-crime-rateproject-idea/amp/.
S. Rakesh, “Women Safety Application using Machine Learning,” International Journal for Research in Applied Science and Engineering Technology, vol. 9, pp. 1295-1303, 2021, DOI: 10.22214/ijraset.2021.34542.
K. Shanmuga Priya, S. Vasanthi, R. Nithyanandhan, G. Vinoth Chakkaravarthy, P. Golda Jeyasheeli, M. Karthiga and C. Pandi, “Blink talk: A machine learning-based method for women safety using EEG and eye blink signals,” Measurement: Sensors, vol. 28, no. 100810, pp. 1-7, 2023, https://doi.org/10.1016/j.measen.2023.100810.
L. Arya and Y. K. Sharma, “Safeguarding Women: IoT-Enabled Machine Learning Approach for Threat Detection via EEG and Eye Blink Signals”, International Journal of Computer Information Systems and Industrial Management Applications, vol. 16, no. 3, pp. 366-377, 2024.
A. A. Zaveri, R. Mashood, S. Shehmir, M. Parveen, N. Sami and M. Nazar, “AIRA: An Intelligent Recommendation Agent Application for Movies,” Journal of Informatics and Web Engineering, vol. 2, no. 2, pp. 72-89, 2023.
S. C. Haw, J. Jayaram, E. Abdulwahab Anaam and H. Agus Santoso, “Exploring Recommender Systems in the Healthcare: A Review on Methods, Applications and Evaluations,” International Journal on Robotics, Automation and Sciences, vol. 6, no. 2, pp. 6-15, 2024.
N. M. Kharat and B. Deshmukh, “IoT Based Wearable Women Safety Device,” International Journal of Engineering Applied Sciences and Technology, vol. 7, no.1, pp. 185-191, 2022.
A. Ashwini and P. Logeshwari, “Advanced Women Safety System Using IoT Technology,” UG Project Report, Sathyabama University, Chennai, April 2023.