Fazekas, István

Geda, Gábor

Gregus, Tamás

Magyar, Péter

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RFID from the air –Product localisation with RFID scanner,carried by autonomic drone,aided by visual markers∗István Fazekas, Péter Magyar, Tamás Gregus, Gábor GedaEszterhazy Karoly University of Applied SciencesInstitute of Mathematics and Informatics, Eger, Hungaryi.fazekas@agria.hu, magyarp@aries.ektf.hu,gregtom6@gmail.com, gedag@aries.ektf.huAbstractWe investigate the possible applications of RFID technology. The focus ofthe examination is to define restrictions of RFID technologies, and to extendthe potential application area by means of supporting hybrid technologies.Of all the difficulties it is the range what represents the hardest problem. Apossible way to extend it, is to approximate the scanner to the tag with arobot, supported with image processing. The robot we chose is an in-door,unmanned aerial vehicle (drone, or quadrocopter). Hereby we would like topublish our experiences and observations so far.Keywords: RFID, Drone, Contactless Card, UAV, Localisation, Hybrid tech-nology1. IntroductionRFID as stands for radio-frequency identification is a very promising technologyin the range of nowadays numerous solutions of automatic identification. Not onlypure recognition of an object, but also its tracking or even logging relevant data∗This work is connected to the RFID research project was supported by the European Unionand the State of Hungary, co-financed by the European Social Fund in the framework of TÁMOP-4.2.2.C-11/1/KONV-2012-0014.Proceedings of the1st International Conference and Exhibition on Future RFID TechnologiesEszterhazy Karoly University of Applied Sciences andBay Zoltán Nonprofit Ltd. for Applied ResearchEger, Hungary, November 5–7, 2014. pp. 23–34doi: 10.17048/FutureRFID.1.2014.2323can be delivered with RFID. The tag itself can take many shapes, but as for ourapplication it is a small size, light-weight sticker on the packaging.The situation in our focus, is an extended warehouse, and the goal is to find theexact location of a specific product, fitted with an RFID tag, within this warehouse.To retrieve information stored in the tags, a scanner is required. The scanners’reading principle varies depending on parameters of the technology and the opera-tion circumstances given, however typically, cost effective RFID tags and scannersare fitted with digital communication interfaces hiding the overlaying deterministicbeam characteristic. Therefore with these devices localisation cannot be imple-mented by measurement of analogue values. Sensitivity range of a scanner–tagcombination is a well specified value, ranging from a few centimetres to as much askilometres, but without known beam characteristic, there is no point to use longthese scanners for localization.As a conclusion, the solution we have chosen is small range RFID carried byrobots. The very location of the tag is indicated by visual tags, and an RFID tag isbrought in range of the scanner of the robot with processing the visual informationby means of its camera.In the first phase of the project the aim has been to set up a developmentenvironment to allow of team work.2. UAV – Unmanned Aerial VehicleLand robots have been developed for a long time, but because running gear is ahugely problematic mechanism, we chose unmanned aerial vehicles (UAV).Thanks to recent developments aerial vehicles are not expensive high-end tech-nologies anymore. Very simple, cost effective, yet durable, off-the-shelf models areavailable. The remote controlled versions of these flying objects are often referredas drones these days.Among hobbyists, fixed wing aeroplanes have been known for long. The simplestructure can be easily built in small size. A single motor drive, and a relativelysimple steering mechanism does not require complicated control procedures, soaltogether it is easy to construct and fly. However, the up thrust on the wingsis generated by the horizontal speed of the airflow, therefore indoor manoeuvring(e.g. in a warehouse) is most problematic.Recently, several versions of rotorcraft machines were developed. Althoughsteering is far more complicated with rotors, development of microcontrollers al-lowed to construct highly responsive, still cheep electronic control units. With therotating wings up thrust is not generated by the speed of the aircraft, but therotors, therefore rotor driven planes has good manoeuvring characteristic on lowspeed which is ideal for indoor applications.Not all rotorcraft machines are this simple. The steering of double rotor craftsprobably require even more complexity, namely, the torque of the spinning hori-zontal rotor tends to turn the body of the aircraft in the opposite direction, whichis compensated by a vertical rotor. Moreover, the horizontal thrust on the ro-24 I. Fazekas, P. Magyar, T. Gregus, G. Gedators is provided by cyclic rotation of the rotor blades’ pitch. Fairly complicatedmechanisms both to construct and to fly.Latest development of 3, 4 or even 6 rotor units was the first helicopters witha simple mechanics. The rotation or velocity of the unit on one selected axes isgenerated by slim differences of the opposite side rotor speeds, keeping balance inthe rest of directions with compensation of the other rotors. This is probably themost promising technology these days.Figure 1: Basics of navigation)3. Drone typesSeveral models of different operating principles, developers and manufacturers wereexamined. Most promising of all were the aircrafts developed on Óbuda University.However these models have been in experimental phase, reproduction requires thedevelopers’ skill level. It may result in lost of focus now, but these machines willmost likely be the long term solution.Figure 2: Drones of Óbuda UniversityRFID from the air – Product localisation with RFID scanner, . . . 25Another type of a likely choice was DJI Phantom. Robust, stable, and with ahigh resolution camera it delivers the strictest specification. However the systemof this drone is rather closed. There are neither public development tools nor APIspecification on the market. (Note: by the time of this article DJI announced tomake an SDK available for outsiders.)Figure 3: DJI PhantomThe best choice at present is AR Drone of French developer and manufacturerParrot. Low cost, still stern mechanics. This model does not match the toughphysical parameters of DJI Phantom, but the price difference is significant too. Itis also important, that the system of AR Drone is an open embedded GNU-Linuxversion, with a precise API definition for both the SDK and the on board system.Figure 4: AR Drone of Parrot26 I. Fazekas, P. Magyar, T. Gregus, G. Geda4. System componentsThe main units of the complex system are the land station, and the aerial unit.The aerial unit runs the on board system providing• flight control• IO system with on board sensors• communication with the land station• image capturing.Where else the land station’s responsibilities are• flight instructions• navigation• tracking• image processing• database.The development environment has to be able to write applications for both com-ponents, preferably on the same programming language.5. Development environmentThe above task means the development environment has to contain the followingfunctions:Integrated development environment (IDE)• code editor,• debugger,• build system,• download and run mechanism.Software development kit (SDK)• build time libraries ,• runtime libraries.RFID from the air – Product localisation with RFID scanner, . . . 276. IDEAs for the IDE we raised the following expectations:• Possibly open source• Configurable user interface• Efficient resource management (C or C++)• Long time support• Platform independency• Synchronicity with education.Two main candidates seemed to fulfil the above requirements Eclipse with CDTplugin, and Qt. Both are multiplatform (OSX, GNU-Linux, Windows) with GCCas the C++ compiler engine. Also both environments are good in cross-compilationaided with device definition features. Plugin system gives extra functionality. Sup-port and documentation is equally excellent.7. Eclipse with CDT• Pros: robust, very versatile system, with an open architecture.• Cos: the plugin based system means non-uniform handling of functions. Thead-hoc structure carries huge overhead. It (and probably the Java program-ming language it is written in) results slow reactions on user controls, as wellas a rather confusing user interface.Graphic user interface is delivered with outsider class libraries. The most popularof these is GTK, however V3 was not supported in Windows at the time this articlewas being written.8. Qt• Pros: its IDE, Qt Creator is very fast, simple and logical. Written in C++speed is impressive. It provides every expected function in a compact andneat way. Not only has it contained an IDE, but also a huge and consistentQ class library covering all from GUI to network handling.• Cos: in comparison with Eclipse, Qt has a lot more rigid configuration whenit comes to devices (kits). However configuration is a one time task, only tobe completed prior the development process. Contrarily, the payback of theconsistent class structure will be remarkable at a later stage.• Conclusion: the IDE to be used is Qt Creator, and the SDK is to be developedas a library of Qt classes.28 I. Fazekas, P. Magyar, T. Gregus, G. Geda9. SDKWe evaluated available software development kits. We found several ones, just tofind that each one of them is incomplete, or development has been stationary fortoo long, thus long time support cannot be trusted.• ARDrone SDK: delivers nearly all requirements, but unfortunately the com-mon opinion is that it is far too complicated to use, with numerous errors.Documentation is not satisfactory at all.• Javadrone SDK: poor resource management.• ADC (Open Drone Control): Scala programming language, not among thepreferred languages.• Python ARDrone: development was most likely stopped.• Argus: Ruby: development was most likely stopped.• Node-AR-Drone: javascript, poor resource management.All the above systems conceal an even bigger problem: platform independencycannot be guaranteed using any SDK of a vendor specific product.10. System hierarchyThe software system of the drone as delivered by the factory consists of two com-ponents. The drone’s on-board flight control, and the remote control unit – for theAR Drone factory package it is some sort of Android, or iOS mobile equipment.In our application the mobile remote control unit is entirely abandoned. Thereason is, on the one hand we want computer controlled autonomic drone operation,on the other hand the concept of platform independency is corrupted if we wouldinvolve such element. Any vendor specific element should be closed in the bottomlayer of the system, realising driver functionality. Later, mobile equipment’s canbe used, but rather than direct access to the drone, these will connect solely to theserver to provide an extra user interface.Figure 4 shows the overall system plan. The core of the drone’s hardware is anARM based unit, running embedded GNU-Linux operating system. The function-ality is provided by an application that starts automatically after the boot process.This application delivers the sensor interface and the on-board fight control. Con-nection with the remote control is maintained through wifi connection, with thedrone playing the role of the access point. The development host computer canconnect to this wifi hotspot on a dynamic ip address, and can communicate withthe on-board system on dedicated ports.Since we need to add some extra functionality, namely RFID scanner, GPSor extra sensors that may not be factory installed on the drone (e.g. side and topRFID from the air – Product localisation with RFID scanner, . . . 29Figure 5: System hierarchyproximity sensors) access is required to the control OS. Alternatively a single boardcomputer can be fitted, to provide the extra functionality, however it will add extraweight load, which will reduce battery life.Since the AR Drone has extra serial interface, and the os is open with a telnetdaemon, it is possible to install our own RFID scanner on it, and run our ownapplication to handle it.The way how our system sits on top of the drone’s on-board factory software isas follows: below the connection layer we need an application to provide GPS porthandler to transmit localisation data, RFID port handler to transmit data fromthe scanner, and Auxiliary flight control for e.g. emergency proximity sensors. Forthis extra communication the on-board application opens its own ports.Above the connection layer rest the services of the land station application.This layer is vendor dependent, and its aim is to cover the specialities of the dronetowards the higher layers.• RFID port is to receive data of the on-board scanner. It is basically a stringof ASCII and some control characters presently.• Flight sensors receive nav. data. The drone’s own sensors supply a rawflow of its local position (height, orientation, etc.) which can be used by theauxiliary flight control. This layer has to translate the raw stream to our ownspecification.• Command protocol translates and transmits the station’s commands to thedrone. It also handles encryption, error check, keep-alive mechanisms if thereare any required by the drone’s own protocol.30 I. Fazekas, P. Magyar, T. Gregus, G. Geda• Video stream receives the data stream of the on board camera. In case of ARDrone it is a non TI standard h264 container. This layer will decompress itand breaks it down to frames, stored in matrixes.The layer above the vendor specific one should be entirely independent of thedrone’s implementation.• Cmd Interpreter contains the command set of the system.• Image processing provides shape recognition. The output of this module isposition data (e.g. relative coordinates on the Cartesian system of the canvas)of the recognised visual markers of the RFID. As mentioned, these markerscan be special graphic elements, e.g. coloured dots In a specific pattern, orit can also be represented by the shape of the box, e.g. geometric centre.The highest level of functionality is the Autonomic flight control, and the databaseto serve it. This is the level, where highest level route planning and seek strategiesrun.10.1. System blocks already completedWork on some of the SDK is in its early stage of development. The following blockshave been completed to an alpha test status:10.2. Test framework – DesktopWritten in Qt C++, with an easy to modify GUI, it is a flexible tool to assembleand test the building blocks.10.3. RFID port – DesktopIt opens a tcp/ip socket to the on-board RFID port handler, and passes RFID scandata to – at present – the test framework.10.4. RFID port – On boardOpens a serial (TTL polarity RS232) port and a tcp/ip port listening to the landstation to initiate connection. In case land station (client) disconnects, the appli-cation will reopen the port.10.5. Auxiliary flight control – On boardAt present in lack of extra sensors it has not provided any functionality yet.RFID from the air – Product localisation with RFID scanner, . . . 3110.6. Video streamDesktop application. To capture video streams of multiple formats, a flexible andversatile video stream converter library is needed. The obvious choice was avlib,who’s history has been parallel with the development of video formats. After someearly tests with some demo applications built around avlib (like ffplay or ffmpeg) itbecame apparent, that it would be compatible with the non-standard video formatof AR Drone too. Avlib delivers the video-frame conversion in 7 sequential steps:• register codec library• open file and retrieve header• read streams information in video• select requested codec• allocate buffer• load frames• convert frames to RGB matrices.10.7. Image processingAs for the visual markers we chose coloured disks for the test of the SDK. TheQt desktop framework gets QImage format matrices from the image processingblock. The operation is based on OpenCV, an open-source, cross platform library,developed by Intel. Based on a very simple matric based data structure, OpenCVprovides real time, frame by frame video processing. It was written in C, laterconverted to C++ resulting an even faster and more flexible implementation. Incomplexity it covers the full range of image processing from image filtering to facerecognition.In the test application we used some basic filters, like greyscale, canny edgedetection, and hough line transform. The compatibility with the Qt framework ismore than satisfactory.11. ConclusionThe basic building blocks of the development environment have been laid down.The IDE and the SDK represents a solid base to go on with work on more sophis-ticated areas. The long term strategy is presented, but on top of the project roadmap, already we have met some urgent tasks requesting immediate evaluation: Atthe moment the reading range of the ID2 scanner is about 50-70 mm with an out-side antenna. The specification claims it about 200mm, and although workbenchtests has not confirmed it in full extend yet, we measured 130 mm.32 I. Fazekas, P. Magyar, T. Gregus, G. GedaFigure 6: OpenCV data structureFigure 7: ID2 scannerFitted under the drone’s belly however the antenna gets right under the PCBof the drone electronic, which consumes some of the electromagnetic energy. It isto be checked, how could the antenna be fitted in a more convenient position.Figure 8: AR Drone with RFID antenna fittedEmergency sensors. The Drone cannot detect horizontal proximity of objects,therefore flight often ends with an emergency landing. Another problem may oc-cur when in-door operation the drone hits the ceiling and gets stuck to it due tothe vacuum-cleaner effect. With additional infrared and ultrasonic sensors andRFID from the air – Product localisation with RFID scanner, . . . 33auxiliary flight control these accidents could be avoided.Image capture and process on board the drone. Latency of the complex imageconversion and analysis procedure can grew as long as seconds. It means flightcontrol is well behind the events. Therefore it is necessary to analyse how couldthe image processing be made faster (there is a well known delay in avlib, whichcould be decreased). Alternatively it should be examined, how this process couldbe moved into the on-board system component.References[1] Piskorski, S. Brulez, N. Eline, P. D’Haeyer, F. AR.Drone Developer Guide(SDK 2.0), Parrot (2012)[2] ID SERIES DATASHEET (ID2/12/20/2WR/12WR) ID Innovations, (2007) http://www.id-innovations.com/httpdocs/EM%20moudule%20SERIES%202007-10-9_wfinal%20v22.pdf[3] Inkyu, H. Inkyu, V. Technical documentation for AR.Drone project, Cyphy Lab.Queensland University of Technology, (2013)[4] Daugaard, M. Thyregod, T.V. Navigation for Robots with WIFI and CV, (2014)http://taghof.github.io/Navigation-for-Robots-with-WIFI-and-CV[5] Varga, P. Qt strandkönyv, E-Közigazgatási Szabad Szoftver Kompetencia Központ,(2013)[6] Rischpater, R. Application Development with Qt Creator Packt Publishing, (2013)[7] Qt support, Digia Plc, (2014) http://doc.qt.io/qt-5/index.html34 I. Fazekas, P. Magyar, T. Gregus, G. Geda

RFID from the air

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RFID from the air

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