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Book ChapterDOI: 10.1007/978-981-10-3174-8_67

A Novel Image Intelligent System Architecture for Fire Proof Robot

01 Jan 2017-pp 805-817
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. more

Topics: Firefighting (58%), Image processing (54%), Systems architecture (52%) more

Journal ArticleDOI: 10.14429/DSJ.67.10237
B. Madhevan1, R. Sakkaravarthi1, G. Mandeep Singh1, R. Diya1  +1 moreInstitutions (1)
Abstract: The aim of this study is to design and develop an autonomous fire proof rescue robot. The robot is designed in such a way, that it can traverse through fire and hazardous situations. Further, it will sense and communicate information regarding these situations in real time with the server. The robot is fixed with multi-sensors and further, a driver circuit has been integrated for communication in these hazardous situations through Zigbee and a data acquisition system (DAQ). In mechanical design first, a 3D solid model is generated using Solid works software to understand the basic structure of robot which provides information regarding robotic platform, size and location of various components. 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. The robot is designed such that it can traverse into the fire and send information regarding the fire behaviour and also the images of the victim’s location by using a camera. Further, a mathematical model which describes the kinematics and dynamic behaviour of robot motion are done. V-REP is used to create the simulation of the robot in a fire simulated fire environment. Finally, for the path planning, various techniques are discussed such as V-REPs inbuilt path planning module, A*, Fuzzy logic and artificial potential fields. more

Topics: Robot control (65%), Social robot (64%), Rescue robot (63%) more

5 Citations

Open accessJournal ArticleDOI: 10.18280/TS.380336
Abstract: Fire image monitoring systems are being applied to more and more fields, owing to their large monitoring area. However, the existing image processing-based fire detection technology cannot effectively make real-time fire warning in actual scenes, and the relevant fire recognition algorithms are not robust enough. To solve the problems, this paper tries to extract and classify image features for fire recognition based on convolutional neural network (CNN). Specifically, 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. To improve the efficiency of image analysis, a Gaussian mixture model was established to extract the features from the fire smoke movement areas. Finally, the CNN was improved to process and classify the fire feature maps of the CNN. The proposed algorithm and model were proved to be feasible and effective through experiments. more

3 Citations

Open accessProceedings ArticleDOI: 10.2991/PNTIM-19.2019.21
01 Nov 2019-
Abstract: How to find the fire source point is the key technical point of the indoor fire-fighting robot in the operation process. 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. The problem is that the fire-fighting device equipped by the robot can perform fire-fighting operation and issue an alarm after the fire source is discovered, and the loss of personnel property is minimized. Keywords-Multi-sensor; Fire-fighting Robot; Fusion Detection; Fire Extinguishing Device more

Topics: Firefighting (57%)

Proceedings ArticleDOI: 10.1109/ICCIT48885.2019.9038587
01 Dec 2019-
Abstract: Pipe surveillance and rescue robot is a type of automation that is used for inspection and rescue. In this paper, an Arduino based robot is designed and implemented for mainly pipe inspection and rescue operation. It can be used for cleaning and welding, as well. A prototype is built which can move through a pipe with a diameter of 8-20 inches. The architecture of this robot is simple and effective. It has a cylindrical body with adjustable legs and changeable shaft. As a result, it can easily pass through both straight and curved pipes. According to the needs, the shaft of the robot can be changed. By using a motor, a mechanical shaft is also designed which can grab things during rescue operation. The robot can carry a weight up to 25 kg. The robot is user-controlled. It has an interface with the user through a camera. It is a wire-based device. Therefore, energy is supplied to the robot from outside. more

Topics: Rescue robot (69%), Robot (52%)

Journal ArticleDOI: 10.1109/83.902289
How-Lung Eng, Kai-Kuang Ma1Institutions (1)
Abstract: Existing state-of-the-art switching-based median filters are commonly found to be nonadaptive to noise density variations and prone to misclassifying pixel characteristics at high noise density interference. This reveals the critical need of having a sophisticated switching scheme and an adaptive weighted median filter. We propose 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. The proposed NASM filter consists of two stages. A soft-switching noise-detection scheme is developed to classify each pixel to be uncorrupted pixel, isolated impulse noise, nonisolated impulse noise or image object's edge pixel. "No filtering" (or identity filter), standard median (SM) filter or our developed fuzzy weighted median (FWM) filter will then be employed according to the respective characteristic type identified. Experimental results show that our NASM filter impressively outperforms other techniques by achieving fairly close performance to that of ideal-switching median filter across a wide range of noise densities, ranging from 10% to 70%. more

Topics: Median filter (74%), Salt-and-pepper noise (72%), Adaptive filter (65%) more

569 Citations

Proceedings ArticleDOI: 10.1109/NSWCTC.2010.132
24 Apr 2010-
Abstract: In this paper, a low-power consumption remote home security alarm system developed by applying WSN and GSM technology is presented. It can detect the theft, leaking of raw gas and fire, and send alarm message remotely. The hardware of this system includes the single chip C5081F310, wireless receiving and sending chip CC1100 as well as the SIMENS TC35 GSM module. The system software developed in C51 language has the ability of collecting, wireless receiving and sending data, and can send a piece of alarm short message to the user’s mobile phone when some dangerous condition has been detected. more

Topics: GSM (57%), Home security (57%), Wireless sensor network (54%) more

70 Citations

Journal ArticleDOI: 10.1016/J.FSS.2009.03.010
André Bigand1, Olivier Colot1Institutions (1)
Abstract: A new fuzzy image filter controlled by interval-valued fuzzy sets (IVFS) is proposed for removing noise from images. The proposed approach is based on IVFS entropy application. IVFS makes it possible to take into account the total uncertainty inherent to image processing, and particularly noise removal is considered. Interval-valued fuzzy sets entropy is used as a tool to perform histogram analysis in order to find all major homogeneous regions at the first stage. Then, an efficient peak-finding algorithm is employed to identify the most significant peaks of the histogram (1) and a noise filtering process (2) that estimates the original value of each noisy pixel (utilizing the global information from (1) and the local information of the image pixels) is proposed. Experimental results have demonstrated that the proposed filter can outperform some well-known classical and fuzzy filters in preserving image details while suppressing impulse noise and reducing Gaussian noise. The main advantage of the proposed technique is to restrict the number of thresholds or parameters which have to be tuned. more

Topics: Median filter (65%), Gaussian noise (61%), Fuzzy set (58%) more

70 Citations

Journal ArticleDOI: 10.1016/J.ADVENGSOFT.2009.07.009
Nadire Cavus1Institutions (1)
Abstract: There are many open source and commercially available Learning Management System (LMS) on the Internet and one of the important problems in this field is how to choose an LMS that will be the most effective one and that will satisfy the requirements. In order to help in the solution of this problem, the author has developed a computer program to aid in the selection of an LMS. The developed system is web-based and can easily be used over the Internet any where over the world at any time. The developed system is 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. The paper describes the development of the LMS evaluation system. The individuals who are most likely to be interested in the LMS evaluation process are teachers, students, and any educational organizations such as: universities, schools, institutes, and anyone else who seeks to have a LMS. more

Topics: Decision support system (54%), Fuzzy logic (53%), Learning Management (53%) more

70 Citations

Journal ArticleDOI: 10.1109/TSMCB.2012.2205678
Hsien-Hsin Chou1, Ling-Yuan Hsu2, Hwai-Tsu Hu1Institutions (2)
Abstract: Digital images are often corrupted by impulsive noise during data acquisition, transmission, and processing. This paper presents a turbulent particle swarm optimization (PSO) (TPSO)-based fuzzy filtering (or TPFF for short) approach to remove impulse noise from highly corrupted images. The proposed fuzzy filter contains a parallel fuzzy inference mechanism, a fuzzy mean process, and a fuzzy composition process. To a certain extent, the TPFF is an improved and online version of those genetic-based algorithms which had attracted a number of works during the past years. As the PSO is renowned for its ability of achieving success rate and solution quality, the superiority of the TPFF is almost for sure. In particular, by using a no-reference Q metric, the TPSO learning is sufficient to optimize the parameters necessitated by the TPFF. Therefore, the proposed fuzzy filter can cope with practical situations where the assumption of the existence of the “ground-truth” reference does not hold. 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. more

Topics: Fuzzy logic (55%), Impulse noise (54%), Fuzzy set (53%) more

44 Citations

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