A Study on Imaging Cameras Fire Prevention Solutions Using Thermal

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, pp.62-67 http://dx.doi.org/10.14257/astl.2016.138.15 A Study on Imaging Cameras Fire Prevention Solutions Using Thermal Kim Hee Chul Dept. of Computer Engineering GwangJu University 277 Hyodeok-Ro, Nam-Gu, Gwangju, Korea jaziri@daum.net Abstract. Thermal imaging camera to measure the temperature measurement is possible by moving objects in real-time and non-contact measurement can be used for a variety of tasks, such as industries, process are as, the electricity sector. In addition, environmental changes through the application S/W features for IT/ICT and Information Storage storage and processing of things Internet of CCTV enclosure internal temperature, humidity or higher status monitoring and supervisory control, information processing through the state monitoring areas it is required for ensuring data. Keywords: Supervisory control, Sensor, Fever, Fire detection, Thermal Imaging 1 Introduction Thermal imaging camera to detect radiating infrared light from objects measures the temperature from hour to hour and then display. It is mainly used not only to distinguish objects at night but also to identify living creatures according to body heat. It is also used in not only industries field such as a machinery, an electric machine and maintenance control for buildings but also process field such as insulating refractory materials, steam system & trap, and pipe & valve, but also electric field such as load unbalance problem, wiring & component failure. There is likely to be a huge potential demand in industries due to usage of various measurement, but the expensive cost of existing thermal imaging camera makes it possible to purchase individually.[1-3]. Single package product that is possible to control temperature inside the case needs to be developed for the early detection of heat due to overload as well as failure and bad connection. It can be also useful in many ways such as fire protection, buildings and boiler room that is not approached directly by a person, forest fire prevention, infrared light camera at night. Another application is to inspect machinery, factory facility maintenance, housing insulation, structure energy loss and to diagnosis the heat loss of blower door.[4-6]. The components of this paper are composed of that a related study is presented in chapter two, a system manufacturing and an image processing using thermal imaging ISSN: 2287-1233 ASTL Copyright 2016 SERSC

camera are described in chapter three, and a conclusion as well as its future study plan is discussed in chapter four. 2 Related Study 2.1 Sensor Module of Thermal Infrared Image Inside structure of block in sensor module of thermal infrared image is shown in Fig.1 and each of cells are produced temperature value of thermal infrared image respectively and then transmitted to smart phone transferred MPU through SPI line. Fig.1. Infrared Sensor Module 2.2 Development of Application Software Data process transmitted by sensor module of thermal infrared image is combined with framework image or pictures. Acceleration sensor or gyro sensor of smart phone make it possible to generate a frame combined resolution of configured image and pictures by moving sensor module of thermal infrared image according to direction and angle instructed by APP [5]. 2.2.1 Creation of Thermal Infrared Image and Process Color will be filled with making pixel area moved in proportion to temperature color and its position (angle) from the pixel coordinate of thermal infrared image sensor equivalent to area after displaying camera image. Thermal infrared image can be generated in a number of areas if the module is a little bit shaked or scanned up down left right side. Before image processing of thermal infrared image, precise control is preprocessed by a function of temperature compensation to able to fine control the temperature difference due to the Copyright 2016 SERSC 63

characteristic of each thermal infrared image sensor module in order to adjust a wide angle between sensor and smart phone [7-9]. 2.2.2 Scanning Process Method of Thermal Infrared Image Thermal infrared image data with low resolution equivalent to one pixel is changed to high resolution. Degree of precision can be distinguished from thermal infrared camera with high resolution due to rapid changes in temperature at small space by algorithm with mixing appropriate ratio of temperature characteristic. Fig.2. Thermal Imaging Scan Method 3 System Manufacturing Using Thermal Infrared Image Camera 3.1. PCB Design for Prototype 3.1.1 Layout of Front Scanner Engine Program module that is implemented by computer and computer readable media that is included executable instruction is realized in Fig. 3. Computer readable media may be random media accessible by computer and all are included in volatile and nonvolatile media as well as detachable and no detachable media [5-6]. 64 Copyright 2016 SERSC

Fig.3. PCB Circuit Design Computer readable media is also included all media of computer storage and communication [2-4]. 3.2. Design of System Driving Application 3.2.1. Firmware Design for Driving Data process transmitted from thermal infrared image sensor module is combined framework image or video by application program. Using acceleration sensor or gyro sensor of smart phone, user sets up the video of panoramic image type and a resolution of thermal infrared image for starting with first reference position is to generate frame combined image or video of configured size according to instructions for direction or angle. 3.3. Display & Controller Modularity of product through hardware design optimization makes it possible not only for development of convergence type product utilized microprocessor hardware design with compact size applied various applications but also for the operation of extension of popularization of technique in a higher value-added business such as enclosures, leakage detection, and fire prevention connected with CCTV. Information processing is added through the function of abnormal state monitoring, supervisory control, and observation of situation in mountainous territory. Figure 4 illustrates a concept. It is needed to secure application data for IoT environment of IT/ICT and information storage as well as process. Copyright 2016 SERSC 65

Fig.4. Image Pipeline Block Diagram Generating and controlling input & output sensor signals through microprocessor is designed to achieve effective control in order to develop modular prototype [6-7]. 4 Conclusion Fire related information can be transmitted according to monitoring results in server from gateway to user device and thermal infrared image camera in CCTV can be operated by combination of sensor module of thermal infrared image in this study. The market scale of CCTV camera has grown to double from 7.7 billion dollar in 2007 to 14.4 billion dollar in 2012. IP camera which has a network function expects growth in sales to five times from 1.2 billion dollar in 2007 to 5.7 billion dollar in 2012 and that makes it considered to great influence of CCTV camera market from now on. Acknowledgements: The study was performed with the GwangJu University College Year 2016 funding References 1. Barnsley, L., Lord, S. M., Wallis, B. J., Bogduk, N.: The prevalence of chronic cervical zyga- pophyseal joint pain and whiplash, Spine, Vol. 20, 2005, pp. 20-25. 2. Lau, HMC., Chiu, TW., Lam, TH.: Clinical measurement of craniovertebral angle by Electronic Head Posture Instrument: A test of reliability and validity. Man Ther. 2009, pp363 368. 3. Ko, S.: Android Platform Trend, Communications of the Korea Contents Association review, vol. 8, no. 2, June 2010, pp. 45-49.Vol. 8. No. 1, 1989, pp. 3-17. 4. Jung, J.: Contextualized mobile recommendation service based on interactive social network discovered from mobile users, Expert Systems with Applications, vol. 36, no. 9, 2009, pp. 11950 11956. 5. Kim, J., Koo, Y., Bae, Y.: Nonlinear Phenomena in MEMS Device, J. of the Korea Institute of Electronic Communication Sciences, vol. 7, no. 5, 2012, pp. 1073-1078. 6. Medium-Small Size VDR Apparatus with Camera and Data Control Method ensures the Efficiency of a Ship Navigation System, 2013. 66 Copyright 2016 SERSC

7. Jung, Y.: Input Ripple Current Formula Analysis of Multi-Stage Interleaved Boost Converter, J. of the Korea Institute of Electronic Communication Sciences, vol. 6, no. 6, 2011, pp. 865-871. 8. Ye, S.-B., Yang, S.-Y., Ceong, H.: The Development on Component-based Environment Information Monitoring System, J. of The Korea Institute of Electronic Communication Sciences, vol. 7, no. 1, 2012, pp. 195-201. 9. Gene, J., Franklin, F., David Powell, J., Abbas, E.-N.: Feedback Control of Dynamic Systems, Prentice Hall, Fourth Edition, 2002, pp. 159-165. Copyright 2016 SERSC 67