SMART PARKING SYSTEM USING INTERNET of THINGS (IoT)

GRD Journals | Global Research and Development Journal for Engineering | International Conference on Innovations in Engineering and Technology (ICIET) - 2016 | July 2016

e-ISSN: 2455-5703

Smart Parking System Using Internet of Things (IoT) 1A.Ramya 2S.Vijaya

Sharmila 3R.Priyanka 2 M.E Scholar 1,2,3 Department of Information Technology 1,2,3 K.L.N. College of Engineering, Pottapalayam, Sivagangai 630612, India Abstract This paper presents that the concept of parking system in smart cities using Internet of Things (IoT). This system will reduce the time consuming problem during the parking. Sensors will be used to collect the information from the parking area that information will be used to park the vehicle in a particular place. Wireless Sensor Networks (WSN) has been employed to fulfil the necessity of reliable energy and efficient communication between these devices. That network will sense and control the parking area using the sensors and microcontroller. This system identify the vehicle at the entrance, monitors the availability of the free slots, allocate the slot and display the empty slot and path through the smart phones.

Keyword- Internet of Things (IoT), Smart Parking System __________________________________________________________________________________________________

I. INTRODUCTION When people talk about “the next big thing,” they’re never thinking big enough. It is not a lack of imagination; it is a lack of observation. The future is always within sight, and don’t need to imagine what’s already there. The Internet of Things revolves around increased machine-to-machine communication. It is built on cloud computing and networks of data-gathering sensors. It is mobile, virtual, and instantaneous connection. It is going to make everything in our lives from streetlights to seaports “smart”. The Internet of Things (IoT) is the network of physical objects-devices, vehicles, buildings and other items embedded with sensors, electronics, software and network connectivity that enables objects to collect and exchange data. The IoT allows objects to be sensed and controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical object into computer based systems and resulting in improved efficiency, accuracy and economic benefits. Thus the smart parking system is used to promote solution for existing system.

II. EXISTING SYSTEM The existing system proposes the display of slot through the LCD display. When the car enters into the parking area, the microcontroller monitors the arrival of the car. And also it monitors the empty slot inside the parking area. The slot information stores into the cloud and it used to allocate the slot for the particular car or vehicle. In most recent technology, some parking lot system offered a system that could automatically count when the car entering the empty car space and blocking an infrared signal thus notify the system to count for it. However, this type of sensors actually has an increase of budgeting in order to install and to be maintained.

III. PROPOSED SYSTEM To overcome the disadvantage of existing system, our system aims to reduce the human intervention to the minimal by automating the process of car parking. This in turn would prove to be useful in reducing the time required for search of free parking space by manually driving through multiple slots. The automation in the car parking is achieved by using Sensors. The system can then inform drivers about the number of available parking spaces and in which area should they be directed to. Bluetooth connection requires displaying the available slot and path direction through android application. This application already available in network to connect the Bluetooth device with our smart phone.

IV. COMPONENTS USED A. Microcontroller A microcontroller is a small computer (SoC) on a single integrated circuit containing a processor core, memory, and programmable input/output peripherals. Program memory in the form of Ferroelectric RAM, NOR flash or OTP ROM is also often included on All rights reserved by www.grdjournals.com

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Smart Parking System Using Internet of Things (IoT) (GRDJE / CONFERENCE / ICIET - 2016 / 064)

chip, as well as a typically small amount of RAM. The microcontroller used in this system is Arduino Uno. The Arduino is an open-source prototyping platform based on easy-to-use hardware and software. The Uno is a high performance 8-bit AVR RISCbased microcontroller board based on the ATmega328P which combines 32KB ISP flash memory with read-while-write capabilities, 1KB EEPROM, 2KB SRAM, 23 general purpose I/O lines, 32 general purpose working registers, three flexible timer/counters with compare modes, SPI serial port, 6-channel 10-bit A/D converter It has 14 digital input/output pins out of which 6 can be used as PMW outputs, 6 analog inputs, as 16 MHz quartz crystal, a USB connection, a power jack, an ICSP header and a reset button. The power supply needed for this microcontroller is 5V. Figure 1.shows the Arduino Uno board used for programming which include Microcontroller Atmel328.

Fig. 1: Arduino Uno board

B. IR SENSOR An Infrared (IR) sensor is used to detect obstacles in front of the robot or to differentiate between colours depending on the configuration of the sensor.IR sensors are also used to distinguish between black and white surfaces. White surfaces reflect all types of light while black surfaces absorb them. Therefore, depending on the amount of light reflected back to the IR receiver, the IR sensor can also be used to distinguish between black and white surfaces.

The principle of an IR sensor working as an Object Detection Sensor can be explained using the following figure. An IR sensor consists of an IR LED and an IR Photodiode; together they are called as Photo – Coupler or Opto – Coupler. When the IR transmitter emits radiation, it reaches the object and some of the radiation reflects back to the IR receiver. Based on the intensity of the reception by the IR receiver, the output of the sensor is defined.

Fig. 2: IR sensor

C. Bluetooth Device HC-05 module is an easy to use Bluetooth SPP (Serial Port Protocol) module, designed for transparent wireless serial connection setup. Serial port Bluetooth module is fully qualified Bluetooth V2.0+EDR (Enhanced Data Rate) 3Mbps Modulation with complete 2.4GHz radio transceiver and baseband. It uses CSR Blue core 04-External single chip Bluetooth system with CMOS technology and with AFH(Adaptive Frequency Hopping Feature). It has the footprint as small as 12.7mmx27mm. Hope it will simplify your overall design/development cycle.

1)    

HC-05 Specification Bluetooth protocol : Bluetooth v2.0+EDR Frequency: 2.4GHz ISM band Modulation: GFSK(Gaussian Frequency Shift Keying) Emission power: ≤4dBm, Class 2

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Smart Parking System Using Internet of Things (IoT) (GRDJE / CONFERENCE / ICIET - 2016 / 064)

       

Sensitivity: ≤-84dBm at 0.1% BER Speed: Asynchronous: 2.1Mbps(Max) / 160 kbps, Speed Synchronous: 1Mbps/1Mbps Security: Authentication and encryption Profiles: Bluetooth serial port Power supply: +3.3VDC 50mA Working temperature: -20 ~ +75Centigrade Dimension: 26.9mm x 13mm x 2.2 mm

Fig. 3: Bluetooth HC-05

V. POWER REQUIREMENTS The board should be powered with an external power supply that can provide current between 700mA and 1000mA for an Arduino.

IR sensor and Bluetooth device takes the power from Arduino..

VI. WIRE CONNECTIONS OF SMART PARKING SYSTEM A.   

IRSENSOR Ground pin of IR sensor is connected with the ground pin of Arduino.

5V power supply is connected with IR sensor VCC pin.

Output of IR sensor is connected with 7th digital pin of Arduino.

B.   

BLUETOOTH Both GND pins, TX pins and RX pins are connected with each other.

5V power supply is given to VCC pin.

Key connected to 3.3V

VII.

ARCHITECTURE OF SMART PARKING SYSTEM

The Architecture of smart parking system is shown below in fig.4. The Arduino microcontroller plays the important role in controlling all the modules. The sensor used in this system is IR sensor. IR sensor is connected to the Arduino by connecting ground pin, VCC to 5v and trigger to 7th pin of the Arduino through wires. The communication technology used here is Bluetooth.

Bluetooth device is connected to the Arduino by connecting ground pin, VCC to 5V, TX pin, RX pin and key connected to 3.3V.

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Smart Parking System Using Internet of Things (IoT) (GRDJE / CONFERENCE / ICIET - 2016 / 064)

Fig. 4: Architecture diagram of Smart Parking System

VIII. CONCLUSION This paper shows the implementation of smart parking system using IR sensor, Arduino Uno microcontroller and Bluetooth HC05. In this paper, smart parking system sense the vehicle, display the empty slot, allocate the slot and display the slot direction through smart phones. Communication established between Microcontrollers, IR sensor using Bluetooth hc-05.This system reduces the parking confusion. This system assures that the users searching work was reduced during the parking time.

IX. FUTURE ENHANCEMENT In future, the use of Wi Fi instead of Bluetooth can use for the large parking area and by using images to display the slot. Capturing the image and display it through the smart phones makes user more efficient to park the car. GPS will be used to track the location of the car inside the parking area. Thus this system reduces the manual work and also gives the solution to the societal problem.

REFERENCES [1] Y. Geng and C. G. Cassandras, ``A new `smart parking' system based on optimal resource allocation and reservations,'' in Proc. 14th Int. IEEE Conf.Intell. Transp Syst. (ITSC), Oct. 2011, pp. 979_984.

[2] D. J. Bonde, R. S. Shende, K. S. Gaikwad, A. S. Kedari, and A. U. Bhokre, ``Automated car parking system commanded by Android application,'' in Proc. Int. Conf. Comput. Commun. Inform. (ICCCI), 2014, pp. 1_4.

[3] I. F. Akyildiz and I. H. Kasimoglu, ``Wireless sensor and actor networks: Research challenges,'' Ad Hoc Netw., vol. 2, no. 4, pp. 351_367, Oct. 2004.

[4] K. Ashokkumar, R. B. Sam, and B. Arshadprabhu, ``Cloud based intelligent transport system,'' in Proc. 2nd Int. Symp. Big Data CloudComput.(ISBCC), vol. 50.2015, pp. 58_63.

[5] Z. Suryady, G. R. Sinniah, S. Haseeb, M. T. Siddique, and M. F. M. Ezani, ``Rapid development of smart parking system with Cloud-based platforms,'' in Proc. 5th Int. Conf. Inf. Commun. Technol.Muslim World (ICT4M), 2014, pp. 1_6.

[6] D. J. Bonde, R. S. Shende, K. S. Gaikwad, A. S. Kedari, and A. U. Bhokre, ``Automated car parking system commanded by Android application,'' in Proc. Int. Conf. Comput. Commun. Inform. (ICCCI), Coimbatore, India, Jan. 2014, pp. 1_4.

[7] Hamada R.H. Al-Absi Patrick Sebastian Justin Dinesh Daniel Devaraj Yap VooiVoon. “Vision-based automated parking system.� 10th International Conference on Information Science,Signal Processing and their Applications (ISSPA 2010), pages 757-760, 2010.

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