Automatic Flame Detection and Tracking

Year : 2026 | Volume : 04 | Issue : 01 | Page : 6 12
    By

    Amarjit Kumar,

  • Rachit Srivastava,

  1. Student, Department of Electrical Engineering Bansal Institute of Engineering and Technology, Lucknow, Uttar Pradesh, India
  2. Assistant Professor, Department of Electrical Engineering Bansal Institute of Engineering and Technology, Lucknow, Uttar Pradesh, India

Abstract

Recent advancements in independent robotics, embedded systems, and intelligent perception have appreciably improved the capability of firefighting robots designed for early fire detection, flame localization, and suppression. A broad range of studies explores vision-based and sensor-fusion techniques designed for reliable flame discovery in complex environments. Image-processing approaches—including adaptive edge-detection, infrared/thermal imaging, color-space analysis, and profound learning—are extensively implement to enhance real-time fire gratitude, even in the presence of smoke or dynamic illumination. Microcontroller-based systems such as STM32, Arduino, and STC89C52 carry on to support inexpensive autonomous platforms, at the same time as more advanced robots integrate multi-sensor fusion with radar, infrared stereo vision, and environmental monitoring to improve sturdiness. Researchers have also developed full robotic platforms ranging from small indoor firefighting rovers to intelligent inspection robots for industrial, petroleum, and petrochemical applications. Modern systems highlight self-directed navigation, track-belt mobility, flame tracking, real-time situation assessment, and automatic extinguishing mechanisms using sprinklers or onboard containment modules. Several works extend these concept to early-warning systems for public spaces and to UAV-assisted forest fire monitoring. Collectively, the writing demonstrates fast progress toward smart real-time, autonomous fire-detection and firefighting solutions capable of reducing human risk and improving response effectiveness across diverse environments.

Keywords: Arduino UNO, robot, flame sensor, fire extinguisher, water pump, motor driver

[This article belongs to International Journal of Advanced Robotics and Automation Technology ]

How to cite this article:
Amarjit Kumar, Rachit Srivastava. Automatic Flame Detection and Tracking. International Journal of Advanced Robotics and Automation Technology. 2026; 04(01):6-12.
How to cite this URL:
Amarjit Kumar, Rachit Srivastava. Automatic Flame Detection and Tracking. International Journal of Advanced Robotics and Automation Technology. 2026; 04(01):6-12. Available from: https://journals.stmjournals.com/ijarat/article=2026/view=243987


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Regular Issue Subscription Review Article
Volume 04
Issue 01
Received 12/12/2025
Accepted 27/02/2026
Published 11/03/2026
Publication Time 89 Days
2

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