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- Vol. 6 Issue 6
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Naari suraksha: smart street lighting with women safety alert system
Authors
1 Assistant Professor, Department of Information Science and Engineering, Bapuji Institute of Engineering & Technology, Davanagere, Karnataka, India. 2 3 4 5 Department of Information Science and Engineering, Bapuji Institute of Engineering & Technology, Davanagere, Karnataka, India.
Article Information
- Published In
- Volume 6, Issue 6 (2026)
- Published Online
- November-December 2026
- Pages
- 20-24
- Article Type
- Original Article
- Check for updates
-
References
1. M. Merit et al., “Violence Detection in Surveillance Videos using Deep ResNet Architectures,” Journal of Telecommunications and Information Technology, vol. 2025, no. 1, 2025. Available: https://jtit.pl/jtit/article/view/2328
2. J. P. F. Andrade, T. Si, A. P. Cavalcanti, A. C. A. Nascimento, and P. B. C. Miranda, “SUSAN: A deep learning-based architecture for violence detection against women in surveillance videos,” Expert Systems with Applications, vol. 280, article 127337, 2025. https://doi.org/10.1016/j.eswa.2025.127337.
3. M. Inayathulla et al., “Real-Time Violence Detection using Convolutional Neural Networks,” Journal of Web and User Experiencevol. 2025, 2025. Available: https://jowua.com/wp-content/uploads/2025/04/2025.I1.021.pdf
4. Z. Huang et al., “IDG-Violence Net: Interaction-aware Deep Graph Model for Violence Detection,” Sensors, vol. 25,no. 20, 2025.
Available: https://www.mdpi.com/1424-8220/25/20/6272.
5. S. Hussain et al., “Lightweight MobileNet-based Real-Time Violence Detection System,” International Conference on Computing and
Knowledge (ICCK), 2025. Available: https://www.icck.org/article/abs/jiap.2025.839123
6. Y. Li et al., “Optimized Deep Learning Framework for Real-Time Violence Detection,” Scientific Reports, 2025. Available:
https://www.nature.com/articles/s41598-025-24469-8
7. J. Negre et al., “A Survey on Violence Detection using Artificial Intelligence,” Sensors, vol. 24, no. 12, 2024. Available:
https://www.mdpi.com/1424-8220/24/12/4016
8. B. Traoré et al., “Spatio-Temporal Violence Detection using CNN and RNN Models,” arXiv preprint arXiv:2409.07581, 2024.
Available: https://arxiv.org/abs/2409.07581
9. “Deep Learning-Based Violence Detection in Surveillance Systems,” International Journal of Intelligent Systems and Applications in
Engineering (IJISAE), 2024. Available: https://ijisae.org/index.php/IJISAE/article/view/6001
10. “Automated Crime Detection using CCTV Surveillance and Deep Learning,” International Journal of Innovative Research in Science,
Engineering and Technology (IJIRSET), 2024.
11. J. P. F. Andrade, T. Si, A. P. Cavalcanti, A. C. A. Nascimento, and P. B. C. Miranda, “SUSAN: A deep learning-based architecture
for violence detection against women in surveillance videos,” Expert Systems with Applications, vol. 280, article 127337, 2025.
https://doi.org/10.1016/j.eswa.2025.127337.
12. “An Intelligent Crime Surveillance Video System for Real-Time Applications,” Procedia Computer Science, vol. 260,pp. 635–644,
2025. https://doi.org/10.1016/j.procs.2025.03.242.
2. J. P. F. Andrade, T. Si, A. P. Cavalcanti, A. C. A. Nascimento, and P. B. C. Miranda, “SUSAN: A deep learning-based architecture for violence detection against women in surveillance videos,” Expert Systems with Applications, vol. 280, article 127337, 2025. https://doi.org/10.1016/j.eswa.2025.127337.
3. M. Inayathulla et al., “Real-Time Violence Detection using Convolutional Neural Networks,” Journal of Web and User Experiencevol. 2025, 2025. Available: https://jowua.com/wp-content/uploads/2025/04/2025.I1.021.pdf
4. Z. Huang et al., “IDG-Violence Net: Interaction-aware Deep Graph Model for Violence Detection,” Sensors, vol. 25,no. 20, 2025.
Available: https://www.mdpi.com/1424-8220/25/20/6272.
5. S. Hussain et al., “Lightweight MobileNet-based Real-Time Violence Detection System,” International Conference on Computing and
Knowledge (ICCK), 2025. Available: https://www.icck.org/article/abs/jiap.2025.839123
6. Y. Li et al., “Optimized Deep Learning Framework for Real-Time Violence Detection,” Scientific Reports, 2025. Available:
https://www.nature.com/articles/s41598-025-24469-8
7. J. Negre et al., “A Survey on Violence Detection using Artificial Intelligence,” Sensors, vol. 24, no. 12, 2024. Available:
https://www.mdpi.com/1424-8220/24/12/4016
8. B. Traoré et al., “Spatio-Temporal Violence Detection using CNN and RNN Models,” arXiv preprint arXiv:2409.07581, 2024.
Available: https://arxiv.org/abs/2409.07581
9. “Deep Learning-Based Violence Detection in Surveillance Systems,” International Journal of Intelligent Systems and Applications in
Engineering (IJISAE), 2024. Available: https://ijisae.org/index.php/IJISAE/article/view/6001
10. “Automated Crime Detection using CCTV Surveillance and Deep Learning,” International Journal of Innovative Research in Science,
Engineering and Technology (IJIRSET), 2024.
11. J. P. F. Andrade, T. Si, A. P. Cavalcanti, A. C. A. Nascimento, and P. B. C. Miranda, “SUSAN: A deep learning-based architecture
for violence detection against women in surveillance videos,” Expert Systems with Applications, vol. 280, article 127337, 2025.
https://doi.org/10.1016/j.eswa.2025.127337.
12. “An Intelligent Crime Surveillance Video System for Real-Time Applications,” Procedia Computer Science, vol. 260,pp. 635–644,
2025. https://doi.org/10.1016/j.procs.2025.03.242.
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