Real Time Vehicle Monitoring Using Raspberry Pi
- 1. Real Time Vehicle Monitoring using Raspberry Pi Albin George S7 ECE A Roll no: 121011 Reg no: 12010481
- 2. Contents Introduction Objectives Block Diagram Features System Design Testing Result Flow Chart Conclusion Reference
- 3. Introduction This technology used to determine the location of a vehicle using GPS. The tracking system enables to calculate easy and accurate location of the vehicle. Vehicle information like location details, speed, distance is determined.
- 4. Objectives Continuously monitoring and tracking the school vehicle at real time environment. If the vehicle choose wrong path then system give the alert to the owner’s Smartphone. Provide safety environment to the children using gas sensor and temperature sensor by messaging alert. Storing and updating the real time database of the vehicle like its Speed, Time, Location, and Date which is useful in case of vehicle theft detection.
- 5. Block Diagram Fig. 1. System Block Diagram
- 6. Features Raspberry Pi 2 700 MHz ARM1176JZF-S core 1GHz operating speed. 512MB of SDRAM. 4 USB ports for accessing external memory. 40 GPIO pins. Ethernet port for internet connectivity. 3.5mm stereo jack for audio out to amplifier. MicroSD card interface slot to carry the OS. Fig. 2. The Raspberry Pi B+ Board
- 7. Temperature Sensor (DS1820) Each device has unique 64 bit serial code stored in an on Board ROM. Power supply range is 3.0v to 5.5v. Fig 3 shows the temp. sensor LPG Gas leakage sensor High sensitive to LPG Gas Small sensitive to alcohol, smoke. Stable and long life. Fig 4 shows the MQ6 Sensor Fig. 3. The temperature sensor DS18B20 Fig. 4. LPG Gas sensor MQ6
- 8. GPS/GPRS/GSM Module Dual-Band GSM/GPRS 900/ 1800 MHz TTL data (RX, TX, GND). Enable with MIC and Speaker socket. Configurable baud rate. Inbuilt Powerful TCP/IP protocol stack for internet data transfer over GPRS. Fig. 5. GSM /GPRS/GPS receiver module.
- 9. SYSTEM DESIGN 1) Real time vehicle tracking on the web page using GPS/GPRS/GSM module and Raspberry pi. 2) Vehicle’s right and wrong path tracking algorithm using Smartphone. 3) Vehicle tracking information database monitoring system using LAMP (Linux, Apache, MySQL, and PHP). 4) Students Safety mechanism using temperature sensor and LPG gas detect sensor.
- 10. 1) Real time vehicle tracking on the web page using GPS/GPRS/GSM SIM900A module and Raspberry pi. SIM900A Module which gets interfaces with the Raspberry pi gives the real time tracking information of the vehicle. Information stored into the database and further sends to the server. The system gives tracking provision on web page for registered user only as follows: Super Login : The vehicle’s owner can track the vehicle in his smartphone using super Login on the web page. Primary Login : The registered students can track the school vehicle in their smartphone using primary Login on web page. Secondary Login : The student’s parents can track the school vehicle in there smartphone using secondary Login on the web page.
- 11. 2) Vehicle’s right and wrong path tracking algorithm using Smartphone. Fig. 6. Tracking System
- 12. Cont… Now using programming, the current longitudes and latitudes received from GPS module get compares with the longitudes and latitudes received from android application. If this comparison gives less tolerance, driver drives the vehicle on the right path i.e. A to B. Else if there is large difference between longitudes and latitudes then system sends alert message on the vehicle owner’s mobile that the vehicle is on the wrong path using GSM module. By using that audio jack facility, whenever driver drives the vehicle on the wrong path, alert message will be given using speakers.
- 13. 3) Vehicle tracking information database monitoring system using LAMP (Linux, Apache, MySQL, and PHP). The vehicle tracking system works upon an algorithm in which, real time information of vehicle such as Longitudes, Latitudes, Speed, Date, and Time get store into the database of Raspberry pi. The GPRS of SIM900A Module will sent this vehicle information to the server. At server side, updating and storing of this vehicle information takes place dynamically which make easier for monitoring and tracking.
- 14. 4) Students Safety mechanism using temperature Sensor and LPG gas detect sensor. The temperature sensor DS18B20 gives a digital output hence can be get directly interface with the Raspberry Pi. Also the LPG Gas leakage sensor get interface with Op-amp LM358N which gives a digital output. Likewise both sensors output driven through Raspberry pi would get compare with threshold values and if limit crosses then the alert message will be given to vehicle owners mobile using GSM of SIM900A module. The threshold value set at 30 Degree Celsius.
- 15. Test Results A. Testing of DS18B20 Temperature sensor using Raspberry pi: As temperature sensor DS18B20 works upon 1 wire protocol, the sensor gives digital output data whenever receives input voltage from raspberry pi and it get stored in file system of raspberry pi. Using system programming, the sensor data get easily access and processed further for giving alert message. Fig. 7. Testing results of DS18B20 Temperature sensor
- 16. B. Testing of Gas Sensor MQ6 using Raspberry pi : The Gas sensor MQ6 gives output as it receives 5V input. So whenever the sensor sense LPG gas it gives analog output which then given to LM358N Op-amp gives digital output. Then the digital output has driven through limiting resistor and further given to raspberry pi. Hence by checking the raspberry pi’s GPIO pin status, the sensor output data used for giving alert message of leakage gas to the vehicle owner Smartphone. Fig. 8. Testing of MQ6 gas sensor
- 17. C. Testing results of GPS module using Raspberry pi: Fig. 9. shows the GPS Module test results of all output sequence GPS data. The GNRMC data format is shown below : $GNRMC,093204.000,A,1650.3 622,N,07435.7935,E,0.00,41.66, 220115,,,A*460<CR> The following fig.10. shows meaning of each data in the GNRMC data format received from GPS satellite. Fig. 9. Testing results of GPS Module using Raspberry pi. Fig. 10. Navigation Information data format
- 18. Conti… Using Programming the GPS data is separated. The result of separation of each GNRMC data which is actually required data for our application is shown in the fig 11. Fig. 11. Separation results of each GNRMC data.
- 19. D. Tracking position on web page developed using HTML, PHP,CSS : The Fig.12 shows the webpage of the proposed system. Fig. 12. Web page developed for vehicle database monitoring purpose.
- 20. Flowchart Fig. 13. Flowchart 1 of proposed system
- 21. Conti… Fig. 14. Flowchart 2 of proposed system Yes No
- 22. Conclusion The proposed system plays an important role in real time tracking and monitoring of vehicle. Whenever the driver drives vehicle on the wrong path or in case of vehicle’s accident situation occurs, the proposed system provides the vehicle’s current location to the vehicle owner’s mobile. Student’s safety mechanism also gets provided using temperature and LPG gas leakage sensors.
- 23. Reference Tarapiah, S.; Atalla, S.; Alsayid, B., "Smart on-board transportation management system Geo-Casting featured," Computer Applications and Information Systems (WCCAIS), 2014 World Congress on , vol., no., pp.1,6, 17-19 Jan. 2014. Kumar, R.; Kumar, H., "Availability and handling of data received through GPS device: In tracking a vehicle," Advance Computing Conference (IACC), 2014 IEEE International, vol., no., pp.245, 249, 21-22 Feb. 2014. SeokJu Lee; Tewolde, G.; Jaerock Kwon, "Design and implementation of vehicle tracking system using GPS/GSM/GPRS technology and smartphone application," Internet of Things (WF-IoT), 2014 IEEE World Forum on , vol., no., pp.353,358, 6-8 March 2014. Pengfei Zhou; Yuanqing Zheng; Mo Li, "How Long to Wait? Predicting Bus Arrival Time with Mobile Phone Based Participatory Sensing," Mobile Computing, IEEE Transactions on, vol.13, no.6, pp.1228, 1241, June 2014.