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Original Article
Flame and Smoke Detection Algorithm using ODConvBS and YOLOv5s
Asfiya mahmood1
Dr. Khaja Mahabubullah2
1 Student, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India. 2 Professor& HOD, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India.
Published Online: September-October 2025
Pages: 36-41
Cite this article
↗ https://www.doi.org/10.59256/ijsreat.20250505007
References
1. A. Islam and M. I. Habib, “Fire Detection From Image and Video Using YOLOv5,” arXiv, Oct. 2023.
2. A. Jadon, M. O. Ansari, A. Varshney, M. S. Ansari, and R. Sharma, “FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications,” arXiv, May 2019.
3. B. Jingrun Ma, Z. Zhang, W. Xiao, X. Zhang, and S. Xiao, “Flame and Smoke Detection Algorithm Based on ODConvBS‑YOLOv5s,” IEEE Access, vol. 11, pp. 34005–34014, 2023.
4. C. Lv et al., “A lightweight fire detection algorithm for small targets based on improved YOLOv5s,” PMC, 2024.
5. D. A. O. Gonçalves, R. Ghali, and M. A. Akhloufi, “YOLO‑Based Models for Smoke and Wildfire Detection in Ground and Aerial Images,” Fire, vol. 7, no. 4, 2024.
6. H. Xu, B. Li, and F. Zhong, “Light‑YOLOv5: A Lightweight Algorithm for Improved YOLOv5 in Complex Fire Scenarios,” arXiv, Aug. 2022.
7. J. Lan, Z. Wang, H. Yu, Y. Tao, and W. Cui, “Light‑YOLOv8‑Flame: A Lightweight High‑Performance Flame Detection Algorithm,” arXiv, Apr. 2025.
8. L. A. O. Gonçalves et al., “YOLO-Based Models for Smoke and Wildfire Detection in Ground and Aerial Images,” Fire, vol. 7, no. 4, 2024.
9. R. Venkadesh, A. Kumar, G. Venkatesh, and K. Harish, “Flame and Smoke Detection Algorithm Based on ODConvBS‑YOLOv5s,” Journal of Electrical Systems, vol. 15, no. 8, 2024.
10. S. Liu et al., “A Novel Flame and Smoke Detection Algorithm Based on ODConvBS‑YOLOv5x6,” IJERT, May 2025.
2. A. Jadon, M. O. Ansari, A. Varshney, M. S. Ansari, and R. Sharma, “FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications,” arXiv, May 2019.
3. B. Jingrun Ma, Z. Zhang, W. Xiao, X. Zhang, and S. Xiao, “Flame and Smoke Detection Algorithm Based on ODConvBS‑YOLOv5s,” IEEE Access, vol. 11, pp. 34005–34014, 2023.
4. C. Lv et al., “A lightweight fire detection algorithm for small targets based on improved YOLOv5s,” PMC, 2024.
5. D. A. O. Gonçalves, R. Ghali, and M. A. Akhloufi, “YOLO‑Based Models for Smoke and Wildfire Detection in Ground and Aerial Images,” Fire, vol. 7, no. 4, 2024.
6. H. Xu, B. Li, and F. Zhong, “Light‑YOLOv5: A Lightweight Algorithm for Improved YOLOv5 in Complex Fire Scenarios,” arXiv, Aug. 2022.
7. J. Lan, Z. Wang, H. Yu, Y. Tao, and W. Cui, “Light‑YOLOv8‑Flame: A Lightweight High‑Performance Flame Detection Algorithm,” arXiv, Apr. 2025.
8. L. A. O. Gonçalves et al., “YOLO-Based Models for Smoke and Wildfire Detection in Ground and Aerial Images,” Fire, vol. 7, no. 4, 2024.
9. R. Venkadesh, A. Kumar, G. Venkatesh, and K. Harish, “Flame and Smoke Detection Algorithm Based on ODConvBS‑YOLOv5s,” Journal of Electrical Systems, vol. 15, no. 8, 2024.
10. S. Liu et al., “A Novel Flame and Smoke Detection Algorithm Based on ODConvBS‑YOLOv5x6,” IJERT, May 2025.
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