International Journal of Engineering Trends and Technology (IJETT) – Volume 16 Number 3 – Oct 2014 Location Spotting System for Forest Rummage and Rescue Mission Using RFID N.Upender1, B.Santhosh Kumar2 1 pursuing M.Tech (ES) , 2Assistant Professor & HOD (ECE Department) 1,2 Visvesvaraya College of Engineering and Technology (VCET), M.P.Patelguda, Ibrahimpatnam, RangaReddy, Telangana, INDIA Abstract — this paper describes the structure of an rescue robot using RFID for missing people in forest environment. The main design aspects include the cost, reliability and the sustainable to environment. To accomplish these factors the paper used the three wireless technologies GSM, GPS and RFID. The researches took place earlier on mobile robots using GSM, GPS, WiMax are very expensive and here in this paper using RFID along with GSM and GPS for cost effective but performance oriented robot. The main focus of this article is to develop a less expensive mobile robot using RFID. Additionally IR sensor circuitry is used to overwhelm the problem of human identification with the traditional robots. At last, the considerable issue is battery source for robot, which was achieved by using solar energy as power source. Keywords— RFID, GSM, GPS, Robot, Solar Energy, IR sensors I. INTRODUCTION The omnidirectional mapping and computing technologies have considerable prospective to enhance the quality of people’s life. RFID technology, in particular, provides us with an economically feasible means for building a ubiquitous computing infrastructure at scale, which can be used to implement varieties of application services. Due to abundant improvement in the field of engineering especially Robotics, various robotic systems have been developing for different applications. There are certain systems which will be useful for disabled persons such as automatic wheel chairs and automatic motion of vehicles on roads. There are also some robotic systems developed for use in defence applications. In addition to rapid growth in robotics there are mobile robots also for rescue applications. Since ancient days the human and sniffer dogs are the main sources for rescue the injured persons in emergency situations such as kidnap or missing cases. In case of trekking trips, adventure tours or any research oriented trips the campers may become helpless in dangerous forests. In that situations rescue teams use human resources and trained sniffer dogs to get the victims safety at their own risk. However, in case of victims ISSN: 2231-5381 trapped in small holes or somewhere else, these tools will not be useful. After doing a research on available outdoor wireless technologies for location identification, RFID was suggested and proposed in this paper to use in rescue robots. To improve the ability to detect the human being the RFIF wireless module and IR sensor circuitry is added to the existed rescue robot. The task of human detection is the major enhancement with this paper and it will be accomplished by using PIR sensor along with RFID, GSM and GPS modules as information exchanging section. II. STATE OF THE ART A. Background Research on Rescue Robots In order to improve the efficiency of life saving operations in the field of rescue robots, so many researches have been made. Over past 22 years, different kinds of rescue robots have been implemented for different applications intended to work in specific situations like natural catastrophes and collapsing buildings etc. The Australian researchers made Redback robot based on a toy called Tarantula, it can able to overcome stairs and terrains. This is having a disadvantage to be delicate which prevents it from outside operation of laboratory context. One more rescue robot developed at the IT institute of the University of Freiburg, and it solved the problem of the Simultaneous Localization and Mapping using RFID. In fact, In order to coordinate the exploration of multiple robots deployed in tough environments, RFID is used. The victim will be very easily caught by the user and thanks to the user [2]. Another team from Kobe University in Japan: the utility vehicle for search (UVS) is focusing its research on the coordination of small robots to form a large robot able to climb large obstacles in the case of earthquake aftermaths [5]. The Kohga University of Tokyo is currently developing snake robots for exploration of small spaces in disaster sites. Rescue robotics is also investigated in industry [6]. The US government financed to iRobot project; which are equipped with cameras, microphones, laser range finders, and IR sensors to explore urban and outside places [7]. Inuktun designs robots to be used inside tubes and in wet environments [8]. The major problem occurring while developing all these robots is power supply. The proposed rescue robot’s battery autonomy is improved by adding a solar power charger. http://www.ijettjournal.org Page 139 International Journal of Engineering Trends and Technology (IJETT) – Volume 16 Number 3 – Oct 2014 B. Location-based Wireless Technologies The choice of location identification technology should be suitable for range, environment and we need to consider the factors like accuracy, reliability and range. And also power consumption also a main factor in case of robotic systems. The most popular outdoor location technologies consider: GPS, WiMAX and RFID [9]. GPS is a location technology which receives the orbital data from 24 satellites. In case of GPS, a drawback is there: The signal becomes week where the flore is too wild and trees opposes the signals. [9]. Worldwide Interoperability for Microwave Access (WiMAX) is a wireless technology which can be used for indoor and outdoor long range positioning applications. Its data rate is nearly 70 Mbps, range up to 50 Km and typically operates at 2.5 and 5.4 GHz. The WiMAX technology is also having the drawback of decreasing service quality in the rainy season and also it is expensive to use. RFID technology works as storing information onto tags which are tied up with devices. The advantageous things in RFID technology includes that they can read multiple tags simultaneously, it can work in any kind of weather conditions and allows to read even while metals surrounding. This is also less expensive compared to all other wireless outdoor technologies. C. Radio Frequency Identification Technology RFID system consists of mainly three components reader, tag and antenna. The tag consists of stored information which can be accessible by electromagnetic waves. The reader is to read the stored information using antenna even though the tag is not in line of sight. RFID have the frequency range of 100KHz – 500KHz in low range applications while in the intermediate range the frequency becomes 10MHz – 15MHz it is applied for 10cm-4m distance, and the high range (between 0. and 5.8 GHz) is for 2 m-3 m. III. SYSTEM DESCRIPTION In this paper, the proposed rescue robot based on RFID considers the vision guided mobile robot. The vision guided mobile robot with RFID reader and IR camera explores the forest. IR cameras/sensors detects the hot temperature of victim’s body RFID reader reads the victim’s information and location will be traced by GPS connected to Robot. The information will be sent to the user using GSM is localized Fig 1: Block Missing diagram victim of Rescue operation ISSN: 2231-5381 A. Wireless Module The rescue operation includes individuals for different tasks like running, climbing, searching, etc. RFID tags are used to retrieve the information and are placed in where they needed. In this case, the tags are maintained with victims. The information stored in the tags is the person name and other particulars. The robot which contains the RFID reader reads the details from the tag and uses it for sending it to rescue team. From the forest’s entrance, the robot starts its inspection, following a path defined by the command center [1]. In order to find the body of the victim and its exact location, the robot will rely on a camera and a sensor (discussed later in this section). Whenever the body is detected, the robot reads the RFID details and location details from the GPS module connected to it. The information about victim details and location of the found place in forest will be sent via GSM module installed to the robot. B. Sensory System The rescue robot contains a wireless camera which is used to monitor the motion of the robot movement and that will be controlled by sending message from to the GSM module. However the camera doesn’t have any image recognition capability to detect the face of the victim’s body, so to accomplish that we have an IR sensor circuitry which will recognizes the human body temperature and wavelength. The IR sensor circuitry includes the Passive IR sensor for human detection. IV. THE POWER SUPPLY SYSTEM The design of rescue robot puts challenges ahead to the designer such as environmental issues which need to be consider in the design of robot. One more challenge is the continuous power supply to make it work nonstop in rescue operations. The proposed robot is holding a recharge Ni-MH battery. The wireless modules and sensor circuitry utilizes the battery power as well. In case of emergency rescue operations, the robot shouldn’t come back if it running out of the power source. That means the power supply should allow the robot to work without interruption. To overcome this power problem the solar power is preferable. The solar power supply would make the autonomous robot to work uninterruptedly by grasping maximum power from the environmental resources and also reduces the cost of the rescue operations. A. Energy Storage Device (Battery) The rechargeable battery is used as power source in case of the intensity of the sunshine is lost or in night times. Again the battery will be charged when the sun is brighten back. So many kinds of batteries available in the market and it is very important to choose the suitable one according to our application. Nickel Metal Hydride (NiMH), Nickel-Cadmium (NiCd), Sealed Lead Acid (SLA), Lithium Ion (Li-Ion) and http://www.ijettjournal.org Page 140 International Journal of Engineering Trends and Technology (IJETT) – Volume 16 Number 3 – Oct 2014 Lithium Polymers (Li-Po) are examples of batteries that are commonly used for storing solar charge [20]. While choosing a suitable battery type, we need to consider the parameters like cost, efficiency, environmental issues and lifetime. If we take lead acid batteries, they are poor in environmental conditions because this batteries lead to leakage sulfuric acid which causes to acid rains [21]. Li-poly and Li- Ion batteries are very similar in size, light weight, etc. They gives us more energy compared to nickel type of batteries. However, compared lithium ion batteries, Li-poly type of batteries provide more energy and moreover they are easily fit into robot design. Therefore, this paper considered the rechargeable 7.4 V, 1345 mAh Lithium polymer battery as a power source. After that this battery will be regulated to 5v to be useful in robot as well wireless modules and sensor circuitry. B. Solar Cell Technology Based on the long life cycle and high reliability the photovoltaic technology is characterized. The PV cells generates the energy based on the cell dimensions. Here is a considerable issue while designing the robot is we need to maintain the size As a result, the surface area of the robot will be reduced and In addition, the choice of the solar cells technology depends on the energy consumption of the robot as well. In this case, the Li-Po battery is regulated to 5 V to power supply the wireless module and the robot sensory system. The latter includes sensors and infrared distance. Experiments, concerning a solar charging system for a mobile robot application, were conducted in [22]. The power consumption of wireless module and sensor circuitry due to continuous exchange of information produces the results and are classified as In case of sensors are activated, on an average power consumption is around 3.5 W. In case of sensors are not activated, the average power consumption is around 2W. By considering the desired rescue robot size is small and the solar cells power consumption, there are two considerable technologies: crystalline Silicon cells (c-Si) and thin film technology. The c-Si solar cells are the most common solar cells using currently in energy systems, because of mainly cost and more stability [22]. The efficiency of this batteries is around 12% to 17%. Whereas the thin film cells have only 7% of efficiency. C. MPPT (Maximum Power Point Tracking) Compared to other harvesting methods such as Pyroelectric harvesting, biomechanical harvesting, etc, the most efficient method is photovoltaic harvesting. The MPPT (Maximum Power Point Tracking) technique applies the sufficient resistance and samples the output of the cells (load) to get maximum power under different temperature and light irradiance condition. In this paper we adopted this method for energy harvesting. ISSN: 2231-5381 Ni – MH Battery Actuators Control Board (a) (b)PV DC/DC Li – Poly Battery Wireless Modules IR sensor circuitry RFID GSM GPS Figure 2. Flow chart of the robot’s overall power system. a) Power system of the mobile robot in [1]. b) The suggested solar power system in this paper. When the robot is used in the rescue operation in the day time the robot will harvest the energy from the sunlight and if the rescue operation takes place in the night times then the stored energy will be consumed to accomplish the rescue. V. DESCRIPTION The proposed system mainly aimed and designed to accomplish the task of search and rescue missions in forests. The rescue robot was designed to perform the search for the missing victims in the forest. The basic robot movement will be worked with the help DC motors connected to the robot wheels. The wireless modules RFID, GPS and GSM are connected to the robot. An IR sensor circuitry is also connected to the robot. Coming to the working of the robot, whenever the victim’s body is detected by the sensor circuitry which consists of the Passive IR sensor (works based on the wavelength and temperature of the human body), the RFID will activate and reads the information from the RFID tag having with victim and the location details will be obtained using GPS module and the information about the victim details and location details will be sent to the user by using GSM module. The power supply to robot and wireless modules given by a 12v recharge battery which is connected http://www.ijettjournal.org Page 141 International Journal of Engineering Trends and Technology (IJETT) – Volume 16 Number 3 – Oct 2014 to a solar panel to charge while sunshine intensity is more. Then it will make the robot to work uninterruptedly. [12] VI. CONCLUSION AND FUTURE WORK This paper dealt with the low cost rescue robot which is more efficient in rescue operations for detecting victims. The location identification was the main aim of this paper and for that we are using a GPS module which gives the all-round surveillance of the earth. GSM module was used for information exchange. Due to rapid growth in tele communication, it will be more efficient and inexpensive to exchange the information using GSM. The power supply is the major concern everywhere in electronics. So in our rescue robot, the power source was provided by using a battery and it is again connected to the solar panel which gives us continuous power source and also ecofriendly. VII. [13] [14] [15] Next Generation Mobile Applications, Services and Technologies, 2012. H. D Chon, S. Jun, H. Jung and S. W. An, “Using RFID for accurate positioning,” in Journal of Global Positioning Systems, Vol. 3, No. 1–2, 2004, pp. 32–39. S. Burion, R. Clavel and I. Nourbakhsh, “Human detection for robotic urban search and rescue,” in EPFL University press, Report No. LSRO2, 2004. J.M. Rendon-Mancha, A. Cardenas, M.A. Garcia and B. Lara, “ Robot positioning using camera-space manipulation with a linear camera model,” in IEEE Transactions on Robotics, Vol. 26, Issue 4, Aug. 2010, pp. 726–733. J. Haverinen, M. Parpala and J. Roning, “A miniature mobile robot with a color stereo camera system for swarm robotics research,” in IEEE Robotics and Automation, Apr. 2005, pp. 2483–2486. VIII. REFERENCES [1] M. Faisal and J. B. Alam, “Low-Cost rescue robot for disaster management in a developing country: development of a prototype using locally available technology,” NASA Langley Research Publications, Document ID: 20100012838, Apr. 2010. [2] R. Sheh, “The Redback: a low cost advanced mobility robot for education and research,” in the proceedings of IEEE International Workshop on Safety, Security and Rescue Robotics, 2006. [3] R. R. Murphy, “Trial by fire [rescue robots],” in IEEE Robotics & Automation Magazine, Vol. 11, Issue 3, Sept. 2004, pp. 50–61. [4] O. Unver, “Tankbot: A miniature, peeling based climber on rough and smooth surfaces,” in ICRA IEEE Robotics and Automation, May 2009, pp. 2282–2287. [5] T. Kamegawa, T. Yamasaki and F. Matsuno, “Evaluation of snake- like rescue robot KOHGA for usability of remote control,” in IEEE Safety, Security and Rescue Robotics, Jun. 2005, pp. 25–30. [6] C.C. Kessens, D.C. Smith and P.R. Osteen, “A framework for autonomous self-righting of a generic robot on sloped planar surfaces,” in IEEE Robotics and Automation, May 2012, pp. 4724– 4729. [7] [7] T. Fincannon, L.E. Barnes, R.R. Murphy and D.L. Riddle, “Evidence of the need for social intelligence in rescue robots,” in IEEE Intelligent Robots and Systems, Vol. 2, Oct. 2004, pp. 1089–1095. [8] S. Selevan and R. Kwok, “Use of sensors and radio frequency ID for the national children’s study,” Research Triangle Institute Publications, Report No. 08601.001.006, Aug. 2004. [9] C. Benavente-Peces, V. M. Moracho-Olivia, A. Dominguez-Garcia and M. Lugilde-Rodriguez, “Global system for location and guidance of disabled people : indoor and outdoor technologies integration,” in IEEE 5th Int. conference on networking and services, 2009. [10] A. Lhafi, “Haut Commissariat aux Eaux et Forêts et à la Lutte Contre La Désertification,” [On-line] Available : www.eauxetforets.gov.ma/fr/index.aspx [Oct. 10, 2012]. [11] M. Nassih, I. Cherradi, Y. Maghous, B. Ouriaghli and Y. S. Alj, “Obstacles recognition system for the blind people using RFID,” in IEEE 6th International Conference on ISSN: 2231-5381 http://www.ijettjournal.org AUTHOR DETAILS N.Upender, pursuing M.Tech (ES) from Visvesvaraya College of Engineering and Technology (VCET), M.P.Patelguda,Ibrahimpatnam, RangaReddy, Telangana, INDIA B.Santhosh Kumar,working as Assistant Professor & HOD (ECE Department) from Visvesvaraya College of Engineering and Technology (VCET), M.P.Patelguda,Ibrahimpatnam, RangaReddy. He obtained Ph.D in Wireless Communications .He has morethan nine years of Experience in Teaching Field. Page 142