Book ChapterDOI
A Novel Image Intelligent System Architecture for Fire Proof Robot
B. Madhevan,Sakkaravarthi Ramanathan,Durgesh Kumar Jha +2 more
- pp 805-817
TLDR
An image processing system and communication architecture for firefighting robot based on GSM technology and microcontroller is designed and would help the fire rescue team to better understand the fire behavior and trapped person location and thus would be a critical advantage in term of time saving and rescue teams risk for their own life.Abstract:
The aim of this research is to design and analyze a fireproof firefighting robot that can enter into fire environment and navigate itself through the fire and send information about the fire behavior. This robot would help the fire rescue team to better understand the fire behavior and trapped person location and thus would be a critical advantage in term of time saving and rescue teams risk for their own life. In this paper, an image processing system and communication architecture for firefighting robot based on GSM technology and microcontroller is designed. Camera connected to microcontroller using serial cable will capture the image data and store it on a storage device. The processed image are sending to the predefined mobile number using GPRS technology. The encoder is used to improve the efficiency of compressed image. MATLAB software is used for the image processing which uses Fuzzy Coded Means to complete this process.read more
Citations
More filters
Journal ArticleDOI
Modelling, Simulation and Mechatronics Design of a Wireless Automatic Fire Fighting Surveillance Robot
TL;DR: The developed fire fighting robot is a predominately outdoor ground-based mobile robotic system with onboard subdual systems that can traverse autonomously in the hazardous environment.
Journal ArticleDOI
Extraction and Classification of Image Features for Fire Recognition Based on Convolutional Neural Network
Ruiyang Qi,Zhiqiang Liu +1 more
TL;DR: The authors set up the framework of a fire recognition system based on fire video images (FVIFRS), and extracted both static and dynamic features of flame and improved the CNN to process and classify the fire feature maps of the CNN.
Proceedings ArticleDOI
Research on Fire Fighting Scheme of Indoor Fire Fighting Robot Based on Multi-sensor
TL;DR: The proposed low-cost comprehensive detection fire source solution using multi-sensor and surveillance camera photo recognition can successfully solve the problem that the fire-fighting robot can accurately search for the fire point indoors.
Proceedings ArticleDOI
An Arduino Based Robot for Pipe Surveillance and Rescue Operation
TL;DR: An Arduino based robot which can move through a pipe with a diameter of 8-20 inches and has an interface with the user through a camera and is a wire-based device.
References
More filters
Journal ArticleDOI
Noise adaptive soft-switching median filter
How-Lung Eng,Kai-Kuang Ma +1 more
TL;DR: A novel switching-based median filter with incorporation of fuzzy-set concept, called the noise adaptive soft-switching median (NASM) filter, to achieve much improved filtering performance in terms of effectiveness in removing impulse noise while preserving signal details and robustness in combating noise density variations.
Proceedings ArticleDOI
A Remote Home Security System Based on Wireless Sensor Network and GSM Technology
TL;DR: A low-power consumption remote home security alarm system developed by applying WSN and GSM technology that can detect the theft, leaking of raw gas and fire, and send alarm message remotely is presented.
Journal ArticleDOI
The evaluation of Learning Management Systems using an artificial intelligence fuzzy logic algorithm
TL;DR: The paper describes the development of the LMS evaluation system, basically a web-based decision support system used to evaluate LMSs by using a flexible and smart algorithm derived from artificial intelligent concepts with fuzzy logic values.
Journal ArticleDOI
Fuzzy filter based on interval-valued fuzzy sets for image filtering
André Bigand,Olivier Colot +1 more
TL;DR: Experimental results have demonstrated that the proposed fuzzy image filter controlled by interval-valued fuzzy sets can outperform some well-known classical and fuzzy filters in preserving image details while suppressing impulse noise and reducing Gaussian noise.
Journal ArticleDOI
Turbulent-PSO-Based Fuzzy Image Filter With No-Reference Measures for High-Density Impulse Noise
TL;DR: The experimental results confirm that the TPFF attains an excellent quality of restored images in terms of peak signal-to-noise ratio, mean square error, and mean absolute error even when the noise rate is above 0.5 and without the aid of noise-free images.