International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 06 | Jun 2023
p-ISSN: 2395-0072
www.irjet.net
FIRE DETECTION AND EXTINGUISHER SYSTEM USING IMAGE PROCESSING S.Vignesh1, G.Vishnupriya2, P.Swetha3, B.Elakkiya4 1234
Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, Tamil Nadu
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Abstract - The proposed system focuses on the
The primary objective of this system is to leverage realtime image analysis to enhance fire safety by accurately and promptly detecting fire incidents. By employing computer vision algorithms and machine learning models, the system aims to analyze video or image input from strategically placed cameras to identify the presence of fire and determine its location within the scene. This enables early detection, allowing for swift response and effective mitigation measures.The image processing algorithms utilized in this system go beyond simple pixelbased analysis and incorporate advanced techniques such as edge detection, color segmentation, and flame pattern recognition. By implementing these methods, the system can effectively distinguish flames from other sources of light or objects that may cause false alarms. This ensures reliable fire detection, reducing the risk of false positives or missed fire incidents.Upon the detection of a fire, the system is designed to trigger an automatic extinguisher mechanism. The mechanism can be integrated with various types of fire suppression systems, such as sprinklers, foam dispensers, or gas-based extinguishers, depending on the specific requirements of the environment. By automating the extinguishing process, the system minimizes response time, allowing for a rapid and effective suppression of the fire before it spreads and causes further damage.The Maixduino AI controller serves as the core platform for this system. It provides the necessary computational power and connectivity to handle the image processing tasks. Equipped with a highperformance processor and sufficient memory capacity, the controller can handle the computational demands of real-time image analysis. Additionally, it offers interfaces to connect cameras and actuators, enabling seamless integration with the overall system.
development of a fire detection and extinguisher system using image processing techniques and the Maixduino AI controller. The system aims to enhance fire safety by employing real-time image analysis to detect fire incidents. The image processing algorithms analyze video or image input from cameras to identify the presence of fire and its location. Upon detection, the system triggers an automatic extinguisher mechanism to suppress the fire effectively. This system combines computer vision, artificial intelligence, and hardware integration to create an intelligent fire safety solution with potential applications in various environments, including homes, offices, and industrial settings.The aim of this system is to develop an advanced fire detection and extinguisher system by leveraging the power of image processing techniques and utilizing the Maixduino AI controller. The primary objective is to enhance fire safety by employing real-time image analysis to detect fire incidents with a high level of accuracy and efficiency. By utilizing computer vision algorithms and machine learning models, the system can analyze video or image input from cameras placed in strategic locations to identify the presence of fire and accurately determine its location within the scene.
Key Words: Fire detection, image processing, Maixduino AI controller, temperature sensor, Feature extraction 1. INTRODUCTION Fire safety is a critical concern in both residential and commercial settings, and the timely detection and suppression of fires can save lives and prevent extensive damage. Traditional fire detection systems often rely on smoke detectors or heat sensors, which have limitations in terms of accuracy and response time. In recent years, the advancement of image processing techniques and artificial intelligence has opened up new possibilities for more efficient and reliable fire detection systems. This system focuses on the development of a fire detection and extinguisher system using image processing, with the utilization of the Maixduino AI controller.
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Impact Factor value: 8.226
The developed fire detection and extinguisher system holds immense potential for deployment in various environments, including residential buildings, commercial establishments, and industrial facilities. It offers an added layer of safety by continuously monitoring the premises for fire hazards and initiating appropriate actions to mitigate risks. Additionally, the system can generate alerts or notifications to inform occupants or authorities about the fire incident, enabling prompt evacuation and timely emergency response.
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