article · Academic Journal of Engineering and Technology Science · 2023
Research on Automatic Flame Recognition and Tracking of Intelligent Fire Robot Based on STC89C52
Cited by 1Open access
Abstract
At present, the vast majority of fire rescue still relies on equipment assisted manual rescue, which has the problem of high labor cost and high danger, making artificial intelligence fire extinguishing the main direction of future fire rescue. This design is aimed at the needs of intelligent fire robots, using the STC89C52 microcontroller minimum system, sensor detection technology, microcontroller control technology, camera recognition combined with raspberry pie positioning technology, etc., to achieve automatic flame recognition of intelligent fire robots. Based on the flame recognition results, control signals are given to orient the robot's movement, providing a foundation for intelligent fire extinguishing of fire robots. This article adopts a modular design method, dividing the system into multiple sensor detection modules, flame image recognition modules, etc. It has the characteristics of simple and fast installation and maintenance, high automation, and accurate and reliable recognition.
Cite this paper
Qiu, Y. (2023). Research on Automatic Flame Recognition and Tracking of Intelligent Fire Robot Based on STC89C52. Academic Journal of Engineering and Technology Science, 6(8). https://doi.org/10.25236/ajets.2023.060808
Qiu, Yundan. “Research on Automatic Flame Recognition and Tracking of Intelligent Fire Robot Based on STC89C52.” Academic Journal of Engineering and Technology Science, vol. 6, no. 8, 2023, https://doi.org/10.25236/ajets.2023.060808.
Qiu, Yundan. 2023. “Research on Automatic Flame Recognition and Tracking of Intelligent Fire Robot Based on STC89C52.” Academic Journal of Engineering and Technology Science 6 (8). https://doi.org/10.25236/ajets.2023.060808.
Qiu, Y. (2023) ‘Research on Automatic Flame Recognition and Tracking of Intelligent Fire Robot Based on STC89C52’, Academic Journal of Engineering and Technology Science, 6(8). Available at: https://doi.org/10.25236/ajets.2023.060808.
@article{qiu2023research,
title = {{Research on Automatic Flame Recognition and Tracking of Intelligent Fire Robot Based on STC89C52}},
author = {Qiu, Yundan},
journal = {Academic Journal of Engineering and Technology Science},
volume = {6},
number = {8},
year = {2023},
doi = {10.25236/ajets.2023.060808}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.