Real-Time Fire and Smoke Detection for Trajectory Planning and Navigation of a Mobile Robot

Authors

  • Pham Van Bach Ngoc Sefas Department, Space Technology Institute, Vietnam Academy of Science and Technology, Vietnam
  • Le Huy Hoang Sefas Department, Space Technology Institute, Vietnam Academy of Science and Technology, Vietnam
  • Le Minh Hieu Sefas Department, Space Technology Institute, Vietnam Academy of Science and Technology, Vietnam
  • Ngoc Hai Nguyen Sefas Department, Space Technology Institute, Vietnam Academy of Science and Technology, Vietnam
  • Nguyen Luong Thien Sefas Department, Space Technology Institute, Vietnam Academy of Science and Technology, Vietnam
  • Van Tuan Doan Hung Yen University of Technology and Education, Vietnam
Volume: 13 | Issue: 5 | Pages: 11843-11849 | October 2023 | https://doi.org/10.48084/etasr.6252

Abstract

Mobile robots have many industrial applications, including security, food service, and fire safety. Detecting smoke and fire quickly for early warning and monitoring is crucial in every industrial safety system. In this paper, a method for early smoke and fire detection using mobile robots equipped with cameras is presented. The method employs artificial intelligence for trajectory planning and navigation, and focus is given to detection and localization techniques for mobile robot navigation. A model of a mobile robot with Omni wheels and a modified YOLOv5 algorithm for fire and smoke detection is also introduced, which is integrated into the control system. This research addresses the issue of distinct objects of the same class by assigning each object a unique identification. The implementation not only detects fire and smoke but also identifies the position of objects in three-dimensional space, allowing the robot to map its environment incrementally for mobile navigation. The experimental results demonstrate the high accuracy achieved by the proposed method in identifying smoke and fire.

Keywords:

mobile robots, robot mapping, smoke and fire real-time detection, dynamic environment, localization, presumptive environment, robot navigation, object identification

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References

M. S. Güzel, "Autonomous Vehicle Navigation Using Vision and Mapless Strategies: A Survey," Advances in Mechanical Engineering, vol. 5, Jan. 2013, Art. no. 234747.

B. F. Alshammari and M. T. Chughtai, "IoT Gas Leakage Detector and Warning Generator," Engineering, Technology & Applied Science Research, vol. 10, no. 4, pp. 6142–6146, Aug. 2020.

P. Matlani and M. Shrivastava, "An Efficient Algorithm Proposed For Smoke Detection in Video Using Hybrid Feature Selection Techniques," Engineering, Technology & Applied Science Research, vol. 9, no. 2, pp. 3939–3944, Apr. 2019.

A. Ozturk and I. Cayiroglu, "A Real-Time Application of Singular Spectrum Analysis to Object Tracking with SIFT," Engineering, Technology & Applied Science Research, vol. 12, no. 4, pp. 8872–8877, Aug. 2022.

Z. Wu, R. Xue, and H. Li, "Real-Time Video Fire Detection via Modified YOLOv5 Network Model," Fire Technology, vol. 58, no. 4, pp. 2377–2403, Jul. 2022.

K. He, X. Zhang, S. Ren, and J. Sun, "Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition," in Computer Vision – ECCV 2014, Cham, 2014, pp. 346–361.

M. Qiu, L. Huang, and B.-H. Tang, "ASFF-YOLOv5: Multielement Detection Method for Road Traffic in UAV Images Based on Multiscale Feature Fusion," Remote Sensing, vol. 14, no. 14, Jan. 2022, Art. no. 3498.

"Make Sense." https://www.makesense.ai/.

H.-Y. Cheng, J.-L. Yin, B.-H. Chen, and Z.-M. Yu, "Smoke 100k: A Database for Smoke Detection," in 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE), Osaka, Japan, Jul. 2019, pp. 596–597.

S.-T. Kao and M.-T. Ho, "Ball-Catching System Using Image Processing and an Omni-Directional Wheeled Mobile Robot," Sensors, vol. 21, no. 9, Jan. 2021, Art. no. 3208.

M.-T. Ho and H.-S. Wang, "Pid Controller Design With Guaranteed Gain And Phase Margins," Asian Journal of Control, vol. 5, no. 3, pp. 374–381, 2003.

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How to Cite

[1]
Ngoc, P.V.B., Hoang, L.H., Hieu, L.M., Nguyen , N.H., Thien, N.L. and Doan , V.T. 2023. Real-Time Fire and Smoke Detection for Trajectory Planning and Navigation of a Mobile Robot. Engineering, Technology & Applied Science Research. 13, 5 (Oct. 2023), 11843–11849. DOI:https://doi.org/10.48084/etasr.6252.

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