ARDUINO BASED NIGHT PATROLLING ROBOT FOR WOMEN'S SAFETY

Authors

  • A. Srilatha 1Assistant Professor in Dept. of CSE (AI&ML), 2Assistant Professor in Dept. of CSE, Samskruti College of Engineering and Technology, Telangana, India Author
  • Billa. Laxmipathi B. Tech 3rd year Students, CSE (AI&ML), Vignan’s Institute of Management and Technology for Women, Ghatkesar, Telangana, India Author
  • P. Monika B. Tech 3rd year Students, CSE (AI&ML), Vignan’s Institute of Management and Technology for Women, Ghatkesar, Telangana, India Author
  • K. Sravani B. Tech 3rd year Students, CSE (AI&ML), Vignan’s Institute of Management and Technology for Women, Ghatkesar, Telangana, India Author
  • P. Suneetha B. Tech 3rd year Students, CSE (AI&ML), Vignan’s Institute of Management and Technology for Women, Ghatkesar, Telangana, India Author
  • A. Rushitha B. Tech 3rd year Students, CSE (AI&ML), Vignan’s Institute of Management and Technology for Women, Ghatkesar, Telangana, India Author

Keywords:

Arduino Nano, GSM module, GPS module, IR sensor, Sound sensor, Motor driver, Motors, Buzzer.

Abstract

The Arduino-based Night Patrolling Robot is designed to enhance public security in isolated areas, especially during night time when surveillance is limited. Even CCTV cameras can only be fixed in a single position and cannot move. This robot is equipped with components, like an Arduino board, motors, sensors, night vision camera, to enable the robot to patrol autonomously. The main feature is its ability to detect sounds using a sound sensor. When noise is detected, the robot will send an ALERT message using the GSM module to the authorities with the location through GPS, and the buzzer will be activated in case of emergency, signaling immediate help. The camera helps in live footage monitoring. Additionally, GPS is used to track the robot's location and ensure the effective patrolling of the isolated areas. As the robot patrols in low-light conditions, it avoids obstacles using an IR sensor. This system ensures rapid response and help by alerting nearby people, making it an efficient tool in providing security. This paper explains the technologies to provide continuous surveillance in environments covering areas with limited human presence.

Downloads

Download data is not yet available.

References

G. D. Shivaji, "Women Safety Patrolling Robot," International Journal of Scientific Research in Engineering, vol. 8, no. 4, pp. 101–106, 2020

2. D Shanthi, N Swapna, Ajmeera Kiran, and A Anoosha, "Ensemble Approach Of GPACOTPSOAnd SNN For Predicting Software Reliability", International Journal Of Engineering Systems Modelling And Simulation, 2022.

3. D. Shanthi, "Ensemble Approach of ACOT and PSO for Predicting Software Reliability",2021 Sixth International Conference on Image Information Processing (ICIIP), pp. 202-207, 2021.

4. E. Demir, A. Gokcen, and Y. Kutlu, "Android Controlled Mobile Robot Design with IP Camera," arXiv preprint arXiv:2102.01511, Jan. 2021.arXiv

5. G. D. Shivaji, "Women Safety Patrolling Robot," International Journal of Scientific 101–106, 2020

6. Md. M. R. Meem, P. S. Chowhan, F. A. Mim, and M. T. Ahmed, "Artificially Intelligent Surveillance and Security Sentinel for Technologically Enhanced and Protected Communities," Int. J. Eng. Manuf., vol. 14, no. 4, pp. 15–25, Aug. 2024.mecs-press.net

7. Priyanka, M. T. S., Divya, D. N., Sruthi, A., Prasanna, S. L., Sahithi, B., & Jyothsna, P. (2025). Domain Detector - An Efficient Approach to Machine Learning For Detecting Malicious Websites. Metallurgical and Materials Engineering, 903–911. Retrieved from https://metall-mater-eng.com/index.php/home/article/view/1663

8. Geetha, M. D., Haritha, M., Pavani, B., Srivalli, C., Chervitha, P., & Ishrath, S. (2025). Eco Earn: E-Waste Facility Locator. Metallurgical and Materials Engineering, 767–773. Retrieved from https://metall-mater-eng.com/index.php/home/article/view/1632

9. Md. M. R. Meem, P. S. Chowhan, F. A. Mim, and M. T. Ahmed, "Artificially Intelligent Surveillance and Security Sentinel for Technologically Enhanced and Protected Communities," Int. J. Eng. Manuf., vol. 14, no. 4, pp. 15–25, Aug. 2024.mecs-press.net

10. Reddy, M. V. S., Geetha, M. D., Srivani, P., Sandhya, P., Sravanthi, D., & Rani, S. A. (2025). Detection Of Offense And Generating Alerts Using AI. Metallurgical and Materials Engineering, 1289–1299. Retrieved from https://metall-mater-eng.com/index.php/home/article/view/1706

11. S. Bhatia, "SLAM-based Night Patrol System," in Proceedings of the IEEE IoT Conference, pp. 134–139, 2022.

12. M. Woodburn, W. M. Griggs, J. Marecek, and R. N. Shorten, "Herd Routes: A Preventative IoT-Based System for Improving Female Pedestrian Safety on City Streets," arXiv preprint arXiv:2207.05279, Jul. 2022. arXiv

13. D Shanthi, Smart Healthcare for Pregnant Women in Rural Areas, Medical Imaging and Health Informatics, Wiley Publishers,ch-17, pg.no:317-334, 2022, https://doi.org/10.1002/9781119819165.ch17

14. Shanthi, R. K. Mohanty and G. Narsimha, "Application of machine learning reliability data sets", Proc. 2nd Int. Conf. Intell. Comput. Control Syst. (ICICCS), pp. 1472-1474, 2018.

15. D Shanthi, CH Sankeerthana and R Usha Rani, "Spiking Neural Networks for Predicting Software Reliability", ICICNIS 2020, January 2021, [online] Available: https://ssrn.com/abstract=3769088.

16. Shanthi, D. (2023). Smart Water Bottle with Smart Technology. In Handbook of Artificial Intelligence (pp. 204-219). Bentham Science Publishers.

17. Shanthi, P. Kuncha, M. S. M. Dhar, A. Jamshed, H. Pallathadka and A. L. K. J E, "The Blue Brain Technology using Machine Learning," 2021 6th International Conference on Communication and Electronics Systems (ICCES), Coimbatre, India, 2021, pp. 1370-1375, doi: 10.1109/ICCES51350.2021.9489075.

18. Shanthi, D., Aryan, S. R., Harshitha, K., & Malgireddy, S. (2023, December). Smart Helmet. In International Conference on Advances in Computational Intelligence (pp. 1-17). Cham: Springer Nature Switzerland.

19. Babu, Mr. Suryavamshi Sandeep, S.V. Suryanarayana, M. Sruthi, P. Bhagya Lakshmi, T. Sravanthi, and M. Spandana. 2025. “Enhancing Sentiment Analysis With Emotion And Sarcasm Detection: A Transformer-Based Approach”. Metallurgical and Materials Engineering, May, 794-803. https://metall-mater-eng.com/index.php/home/article/view/1634.

20. Narmada, J., Dr.A.C.Priya Ranjani, K. Sruthi, P. Harshitha, D. Suchitha, and D.Veera Reddy. 2025. “Ai-Powered Chacha Chaudhary Mascot For Ganga Conservation Awareness”. Metallurgical and Materials Engineering, May, 761-66. https://metall-mater-eng.com/index.php/home/article/view/1631.

21. Geetha, Mrs. D., Mrs.G. Haritha, B. Pavani, Ch. Srivalli, P. Chervitha, and Syed. Ishrath. 2025. “Eco Earn: E-Waste Facility Locator”. Metallurgical and Materials Engineering, May, 767-73. https://metall-mater-eng.com/index.php/home/article/view/1632.

Shilpasri PS, C.Mounika C, Akella P, N.Shreya N, Nandini M, Yadav PK. Rescuenet: An Integrated Emergency Coordination And Alert System. J Neonatal Surg [Internet]. 2025May13 [cited 2025May17];14(23S):286-91. Available from: https://www.jneonatalsurg.com/index.php/jns/article/view/5738

23. D. Shanthi DS, G. Ashok GA, Vennela B, Reddy KH, P. Deekshitha PD, Nandini UBSB. Web-Based Video Analysis and Visualization of Magnetic Resonance Imaging Reports for Enhanced Patient Understanding. J Neonatal Surg [Internet]. 2025May13 [cited 2025May17];14(23S):280-5. Available from: https://www.jneonatalsurg.com/index.php/jns/article/view/5733

24. Srilatha, Mrs. A., R. Usha Rani, Reethu Yadav, Ruchitha Reddy, Laxmi Sathwika, and N. Bhargav Krishna. 2025. “Learn Rights: A Gamified Ai-Powered Platform For Legal Literacy And Children’s Rights Awareness In India”. Metallurgical and Materials Engineering, May, 592-98. https://metall-mater-eng.com/index.php/home/article/view/1611.

25. Shanthi, Dr. D., G. Ashok, Chitrika Biswal, Sangem Udharika, Sri Varshini, and Gopireddi Sindhu. 2025. “Ai-Driven Adaptive It Training: A Personalized Learning Framework For Enhanced Knowledge Retention And Engagement”. Metallurgical and Materials Engineering, May, 136-45. https://metall-mater-eng.com/index.php/home/article/view/1567.

26. P. K. Bolisetty and Midhunchakkaravarthy, "Comparative Analysis of Software Reliability Prediction and Optimization using Machine Learning Algorithms," 2025 International Conference on Intelligent Systems and Computational Networks (ICISCN), Bidar, India, 2025, pp. 1-4, doi: 10.1109/ICISCN64258.2025.10934209.

27. Thejovathi, Dr. M., K. Jayasri, K. Munni, B. Pooja, B. Madhuri, and S. Meghana Priya. 2025. “Skinguard-Ai FOR Preliminary Diagnosis OF Dermatological Manifestations”. Metallurgical and Materials Engineering, May, 912-16.

28. Jayanna, SP., S. Venkateswarlu, B. Ishwarya Bharathi, CH. Mahitha, P. Praharshitha, and K. Nikhitha. 2025. “Fake Social Media Profile Detection and Reporting”. Metallurgical and Materials Engineering, May, 965-71.

29. D Shanthi, “Early-stage breast cancer detection using ensemble approach of random forest classifier algorithm”, Onkologia i Radioterapia 16 (4:1-6), 1-6, 2022.

30. D Shanthi, "The Effects of a Spiking Neural Network on Indian Classical Music", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppa195-a201, March-2022 31. Parupati K, Reddy Kaithi R. Speech-Driven Academic Records Delivery System. J Neonatal Surg [Internet]. 2025Apr.28 [cited 2025May23];14(19S):292-9. Available from: https://www.jneonatalsurg.com/index.php/jns/article/view/4767 32. Dr.D.Shanthi and Dr.R.Usha Rani, “ Network Security Project Management”, ADALYA JOURNAL, ISSN NO: 1301-2746, PageNo: 1137 – 1148, Volume 9, Issue 3, March 2020 DOI:16.10089.AJ.2020.V9I3.285311.7101 33. D. Shanthi, R. K. Mohanthy, and G. Narsimha, “Hybridization of ACOT and PSO to predict Software Reliability ”, International Journal Pure and Applied Mathematics, Vol. 119, No. 12, pp. 13089 - 13104, 2018. 34. D. Shanthi, R.K. Mohanthy, and G. Narsimha, “Application of swarm Intelligence to predict Software Reliability ”, International Journal Pure and Applied Mathematics, Vol. 119, No. 14, pp. 109 - 115, 2018. 35. Srilatha, Mrs. A., R. Usha Rani, Reethu Yadav, Ruchitha Reddy, Laxmi Sathwika, and N. Bhargav Krishna. 2025. “Learn Rights: A Gamified Ai-Powered Platform For Legal Literacy And Children’s Rights Awareness In India”. Metallurgical and Materials Engineering, May, 592-98.

Downloads

Published

2025-06-01

Issue

Section

Articles

How to Cite

ARDUINO BASED NIGHT PATROLLING ROBOT FOR WOMEN’S SAFETY. (2025). International Journal of Multidisciplinary Engineering In Current Research, 10(6), 439-446. https://ijmec.com/index.php/multidisciplinary/article/view/821