WIXLIB

Volume 2, Issue 7, July– 2017International Journal of Innovative Science and Research TechnologyISSN No: - 2456 – 2165IOT Based Vehicle Parking andToll-Fee Management System Using Raspberry Pi 3R Gowri Poornima,IV B.Tech,Department of Electronics And Computer Engg.PVP Siddhartha Inst. of bstract:- The basic desideratum of the vehicle parkingtraffic.and toll-fee management system is to reduce the waitingtime of the vehicles. There are huge amount of vehiclespassing through Toll Gate Stations and using parkingplaces every day. This IOT based management systemcollects vehicle toll fee or parking fee automatically. Inthis system camera is used for capturing the image ofthe vehicles number plate. The captured image wouldbe converted into the text using Python based OCR(optical character recognition) and the toll would be cutfrom the user’s account and then the gate is opened.The system is divided into the design of three modules,Vehicle Module and the Database Module, Tollgatestation. The three modules communicate via GSMmodem connected to each module, stolen vehicle arealso identified and alarm would be buzzed. For theIdentification of the vehicles, the information of thevehicles is already stored on the database. Storedinformation is also easily exchanged between themotorists and toll or parking authorities, therebyenabling a more efficient toll or parking fee collection byreducing waiting time and traffic.It is aimed at making toll taxation more efficient,reliable, and safe and environment friendly. In the past,customer would have to wait at the toll booth to pay themoney to collector, creating traffic Congestion, pollution,consumption of fuel and ofcourse of a lot offrustration. Today Automatic toll collection successfullyremoves unnecessary traffic delays; keep track of on anycar that might not be correctly registered and also find thestolen vehicle.The researchers have come out with newtechniques in solving several issues in vehicle platerecognition system. Siam [1] has constructed a practicalprototype system to detect the vehicle license platenumber at the entrance of the car park using theimage processing technique of capture image, templatematching, Internet Protocol (IP), camera and motiondetector. The GUI was developed to display the detectedvehicle plate number and the result of the templatematching based on the number plate. The drawbacks of theresearch are the information of the vehicle’s owner is notavailable, and the hardware part is implemented usingInternet and not tested for any light condition. Meanwhile,Dhruw et al. [2] have applied the Otsu’s algorithm torecognize the non-standard Indian number plates.However, the research focuses merely on theoffline analysis of the captured image. N. Sulaiman etal. [3] used MATLAB Image processing tool box forrecognizing the number plates and they developed a GUIto display the detected vehicle plate number and the resultof the template matching based on the number plate.Keywords: IOT, Raspberry Pi, Global Synchronous Mobile,Mobile App.I.INTRODUCTIONThe Internet of Things (IOT) refers to the ever-growingnetwork of physical objects that feature an IP address forinternet connectivity, and the communication that occursbetween these objects and other Internet-enabled devicesand systems. IoT extends internet connectivity beyondtraditional devices like desktop and laptop computers,smart phones and tablets to a diverse range of devices andeveryday things that utilize embedded technology tocommunicate and interact with the external environment, allvia the Internet.Vehicle parking and toll-fee management system useful inour daily life because of the unlimited increase of vehiclesand transportation systems. Presently, parking and toll-feecollection fully managed and monitored by humans withmanual operation. The aim of this designed system is toautomatically identifying the approached vehicles andrecording vehicles number, time and this is system cansolve the problems of the car parking and problems intoll-fee management and also reduces waiting time andIJISRT17JL147The upcoming sophisticated technology related to Internetof things has been emerging the automation to avoid thehuman errors and also save the time. The most obviousadvantage of this technology is the opportunity to eliminatetraffic congestion at toll gates and paid parking places.Other than this obvious advantage, applying automatic tollbooth or parking fee points could also benefit the toll orparking booths operators. This automatic system used thetechnology of Python based OCR (optical characterrecognition). Hence this system works very fast with thebest results.II.MATERIALS AND METHODSIOT Based Vehicle Parking and Toll-Fee ManagementSystem all components centralized with Roseberry Pi3Model. Raspberry pi 3 model B connected to the camera, IRwww.ijisrt.com294

Volume 2, Issue 7, July– 2017International Journal of Innovative Science and Research TechnologyISSN No: - 2456 – 2165sensor, Monitor display, LCD display, GSM Module and itis connected to bank and the mobile via wireless as shownin the block diagram figure 1. The Python based OCR(optical character recognition) recognizes the Vehiclenumber and identifies the user details. The databasemanagement system collects process the vehicle number,identifies the account number of owner, and deducts therequired fee amount and creating the Smart environmentbetween the vehicle and the toll or parking booths oroperators.Figure 1: Block diagram of the connection of the materialsA. Materials: Hardware DetailsThe Raspberry Pi 3 (read R-pi3) as shown in the figure 2,is a series of low-cost, creditCard-sized single-boardcomputers. It is just like any other computer and featuresbuilt in Wi-Fi, Bluetooth and 1GB RAM. We connect akeyboard, mouse through USB or Bluetooth and a displaymonitor through HDMI cable and start using it just like anormal computer. But the real power of R- pi3 is realizedin embedded systems. The R-Pi3 has the ability tointeract with the outside world.Hence it is well suited for the IOT technology and has beenused in a wide array of digital maker projects, from musicmachines and parent detectors to weather stations andtweeting birdhouses with infra-red cameras. It has 40 GPIOPins. Out of 40 pins, 26 pins are Input and Output pins, 8pins are ground, 2 pins are 5V, 2 pins are 3.3V and 2 pinsare ID SD and ID SC used in I2C communication.The Product information can be accessed though Roseberrywebsite [4].Figure.2: Raspberry pi 3 model BIJISRT17JL147www.ijisrt.com295

Volume 2, Issue 7, July– 2017International Journal of Innovative Science and Research TechnologyISSN No: - 2456 – 2165The web camera connected to the Raspberry Pi3 Model Bwill capture the image when there is any interruption of therays in the IR sensor. An infrared sensor is an electronicdevice, that emits in order to sense some aspects of thesurroundings. An IR sensor can measure the heat of anobject as well as detects the motion. These types ofsensors measures only infrared radiation, rather thanemitting it that is called as a passive IR sensor. Usually inthe infrared spectrum, all the objects radiate some form ofthermal radiations. These types of radiations are invisibleto our eyes, that can be detected by an infrared sensor.when the vehicle comes near the sensor the infrared raysthat are passing through the transmitter and the receiverbreaks and the image will be captured.GSM/GPRS module is used to establish communicationbetween a computer and a GSM- GPRS system. GlobalSystem for Mobile communication (GSM) is anarchitecture used for mobile communication in most of thecountries. Global Packet Radio Service (GPRS) is anextension of GSM that enables higher data transmissionrate. The GSM sends the message after the requiredtoll is deducted from the vehicle owners account and thebalance in his account is sent.B. Software DetailPython is a simple programming tool available forRaspberry Pi. Python is a widely used high-levelprogramming language for general-purpose programming,created by Guido van Resume and first released in 1991. Aninterpreted language, Python has a design philosophy whichemphasizes code readability and a syntax which allowsprogrammers to express concepts in fewer lines of codecompared to other languages.The database is defined as the collection of the interrelateddata that is maintained and managed by the software hereby the MYSQL server, which i s used to maintain thedetails of the registered vehicles in the database and if thedetails are valid the further process is done such asdeducting the amount from his account and the details areupdated in the database.Figure 3: The software process of the methodologyIJISRT17JL147www.ijisrt.com296

Volume 2, Issue 7, July– 2017International Journal of Innovative Science and Research TechnologyISSN No: - 2456 – 2165C. MethodologyThe process describe by the flow chart as shown in thefigure 3, starts when the vehicle comes near the IR sensorplaced before the toll or packing booth the infrared raysget interrupted and then the image will be captured by thecamera. The captured vehicle number image will beprocessed in Raspberry pi 3 model B, recognized by pythonnumber plate recognition tool and the number is displayedon LCD/Monitor display, the details of vehicle will beverified in the database whether it is a valid vehicle, searchfor the account details if the sufficient balance is present intheir account , required toll fee deducted from the vehicleowner account and the relevant messages will be deliveredto the vehicle owner, if is not the case the vehicle is notvalid and the user should pay the toll by hand or they canregister. The vehicle details are continuously updatedaccording to the time in the database.III.RESULTS AND DISCUSSIONDuring the testing process of the designed system atindoor, the printed image of the vehicle plate wascaptured by web camera inside t h e laboratory. Then, thesystem is implemented by capturing a few images ofvehicle plates. The s y s t e m is tested either it issuccessful to capture the good image and to recognize theimage successfully. 25 samples of image were capturedduring this testing session. The detection accuracyobtained at the indoor is 100%. Interruption of IRdetector used for initiating the activation process ofRaspberry Pi and camera. After the camera can capture theimage of the number plate, send the data of the image tocomputer for next process.During the testing of the designed at outdoor, systemcaptures the real image of number plate and then processthe image simultaneously to recognize the number plate.Outdoor testing of the system done by placing the webcamera between the vehicle and computer. Here, there areseveral things need to be considered during thesetup of the experiment. Firstly, the distancebetween camera and number plate must be approximately1meter. Next, another vital factor is the position of thecameratocapturetheimageofnumberplate.Itmustbe aligned or perpendicular with theposition of the number plate of the vehicle. Otherwise, itwill affect the resolution of the captured image anddisturb the processing of the image in computer. Thedetection accuracy is at the outdoor c o n d i t i o n comparableto the indoor condition.These results explain the limitation of the webcamera where the image accuracy and resolution can beaffected by the light condition.Using IOT, Developed a mobile app to know the recentvehicles that have passed the tollgate as displayed on the figure 4 and the toll operators orauthorities can check this anywhere from this app.Figure4: Mobile App to know the recent vehicles that have passed the toll gateIJISRT17JL147www.ijisrt.com297