![Fig10: After Segmentation Number Plate
Fig11: Number Plate Recognition
Fig12: After Matching
CONCLUSION:
Motive of this projected system is to detect the
images of the vehicle plate accurately. The
automated real-time vehicle plate recognition
system has been demonstrated to provide correct
identification of vehicles captured images from the
camera. The system has been shown to be robust to
lighting variations, headlight dazzle, and partial
vehicle obscuration. The next stage of development
will involve increasing the vehicle coverage of the
reference database and further trials at sites
including parking facilities and public highways.
FUTURE WORK:
The future analysis of ANPR ought to focus on
multi style plate recognition, video-based ANPR
mistreatment temporal information, multi plate’s
process, high definition plate image process,
ambiguous-character recognition, and so on. In four
important factors were planned to identify the multi
style license plate problem: license plate rotational
angle, character line number, the alphanumerical
varieties used and character formats
REFERENCES
[1] Kin Seong Leong, Mun Leng Ng, Member,
IEEE, Alfio R. Grasso, Peter H. Cole,
"Synchronization of RFID Readers for Dense RFID
Reader Environments", International Symposium
on Applications and the Internet Workshops
(SAINTW’06), 2005
[2] Manish Buhptani, Shahram Moradpour,
"RFID Field Guide - Developing Radio Frequency
Identification Systems", Prentice Hall, 2005, pp 7-
9, 16-225, 160, 231
[3] Raj Bridgelall, Senior Member, IEEE, "
Introducing a Micro-wireless Architecture for
Business Activity Sensing ", IEEE International
Conference RFID, April 16-17,2008
[4] Sewon Oh, Joosang Park, Yongioon Lee,
"RFID-based Middleware System for Automatic
Identification", IEEE International Conference on
Service Operations and Logistics, and Information,
2005
[5] Shi-Cho Cha Kuan-Ju Huang Hsiang-Meng
Chang, " An Efficient and Flexible Way to Protect
Privacy in RFID Environment with Licenses ", IEEE
International Conference RFID, April 16-17,2008
[6] Urachada Ketprom, Chaichana Mitrpant,
Putchapan Lowjun, “Closing Digital Gap on RFID
Usage for Better Farm Management”, PICMET
2007, 5-9 August 07
255
INTERNATIONAL CONFERENCE ON CURRENT INNOVATIONS IN ENGINEERING AND TECHNOLOGY
INTERNATIONAL ASSOCIATION OF ENGINEERING & TECHNOLOGY FOR SKILL DEVELOPMENT
ISBN: 378 - 26 - 138420 - 5
www.iaetsd.in](https://image.slidesharecdn.com/iaetsd-fpgaimplementationofvarioussecuritybasedtollgatesystemusinganpr-150407215618-conversion-gate01/85/Iaetsd-fpga-implementation-of-various-security-based-tollgate-system-using-anpr-5-320.jpg)
Iaetsd fpga implementation of various security based tollgate system using anpr
- 1. FPGA Implementation Of Various Security Based Tollgate system Using ANPR Technique. Author 1: S.SHASHIDHAR Author2: S.VAMSEE KRISHNA Email.id: sasidhar667@gmail.com Email id: vamseebe@gmail.com M.TECH in Vlsi System Design, Assistant prof. In Department of ECE, Siddarth Institute of Engineering And Technology, Siddarth Institute Of Engineering And Technology, Puttur, Chittor(Dist). Puttur, Chittor(Dist). ABSTRACT: This paper presents the look and development of vehicle plate recognition for automated toll collection. Vehicle plate recognition (LPR) is that the extraction of car plate information from a picture since it's simpler and faster than the normal token based ticket system, it's all the potential to interchange the prevailing system. Moreover, it saves users valuable time by reducing the queue length before of the toll counter. It’s accustomed pay the quantity automatically and open & close the toll gate automatically. A vehicle plate is installed on each vehicle. A recognition device at the gate reads this knowledge from the vehicle and compares it with the info within the on-line database and permits the access consequently by gap the gate. This data is employed to print a daily or monthly bill for toll collection from the vehicles. This model has low complexity and takes fewer times in terms of car plate segmentation and character recognition. We aim to scale back the time consumed to pay the toll gate amount and also to assist the RTO, local department to trace the vehicle, just in case} if it absolutely was stolen or used for any illegal activities. Yet as we are reaching to increase the protection features within the toll gate because now a day’s toll gate are the doorway to the most cities. If we increase the protection within the toll gate section automatically the protection within the city are also increased. The proposed open-end credit has been designed using very (high-speed integrated circuit) hardware description language (VHDL) and simulated. Finally, it's downloaded in a very field programmable gate array (FPGA) chip and tested on some given scenarios. The FPGA implementation is administrated in one among the applying area automatic toll assortment. Keywords: License plate recognition, INTRODUCTION: AUTOMATIC car place recognition (LPR) plays a crucial role in various applications like unattended parking heaps security management of restricted areas traffic enforcement congestion rating and automatic toll assortment. Attributable to totally different operating environments, LPR techniques vary from application to application. Point able cameras produce dynamic scenes after they move. A dynamic scene image could contain multiple car places or no license plate the least bit. Moreover, after they do seem in a picture, license plates could have impulsive sizes, orientations and positions. And, if complicated backgrounds area unit concerned, detective work license plates will become quite a challenge. Typically, Associate in Nursing LPR method consists of 2 main stages (1) locating license plates and (2) distinctive license numbers. Within the 1st stage, car place candidate’s area unit determined supported the options of license plates. Options ordinarily used are derived from the car place format and therefore the alphanumeric characters constituting license numbers. The options concerning car place format embody form, symmetry height-to dimension magnitude relation colour texture of achromatic colour abstraction frequency and variance of intensity values Character options embody line blob the sign transition of gradient magnitudes, the ratio of characters the distribution of intervals between characters and therefore the alignment of characters. In reality, a tiny low set of sturdy, reliable, and easy-to-detect object options would be adequate. The car place candidates determined within the locating stage area unit examined within the identification number identification stage. There are unit 2 major tasks concerned within the identification stage, variety separation and variety recognition. Variety separation has within the past been accomplished by such techniques as projection morphology relaxation labelling, connected elements and blob colouring. Since the projection methodology assumes the orientation of a car place is thought and therefore the morphology methodology needs knowing the sizes of characters. A hybrid of connected elements and blob colouring techniques is taken into account for character separation. For this, we tend to develop our own character recognition technique that is predicated on the disciplines of each artificial neural networks and mechanics. 251 INTERNATIONAL CONFERENCE ON CURRENT INNOVATIONS IN ENGINEERING AND TECHNOLOGY INTERNATIONAL ASSOCIATION OF ENGINEERING & TECHNOLOGY FOR SKILL DEVELOPMENT ISBN: 378 - 26 - 138420 - 5 www.iaetsd.in
- 2. License Plate Recognition: Most of the quantity plate detection algorithms fall in additional than one class supported totally different techniques. To sight vehicle variety plate following factors ought to be considered: (1). Plate size: a plate will be of various sizes in a very vehicle image. (2). Plate location: a plate will be settled anyplace within the vehicle. (3). Plate background: A plate will have totally different background colours supported vehicle sort. As an example a government vehicle variety plate may need totally different background than different public vehicles. (4). Screw: A plate might have screw which may be thought-about as a personality. A number plate will be extracted by mistreatment image segmentation technique. There ar various image segmentation strategies accessible in numerous literatures. In most of the strategies image binarization is employed. Some authors use Otsu’s technique for image binarization to convert colour image to grey scale image. Some plate segmentation algorithms are supported colour segmentation. A study of car place location supported colour segmentation is mentioned. Within the following sections common variety plate extraction strategies are explained, that is followed by elaborate discussion of image segmentation techniques adopted in numerous literature of ANPR or LPR. Fig1: License Plate recognition The templates that square measure almost like the registration number plate character is known by the comparison method with the character hold on within the information. Extracted registration number plate characters could have some noise or they'll be broken. The extracted characters could in addition be inclined. Example matching may be a straightforward and straightforward technique in recognition. The similarity between character and therefore the example is measured. Example matching is performed once resizing the extracted character into an identical size. Each example scans the character column by column to calculate the normalized cross correlation. The example with the most price is that the foremost similar one. Example matching is useful for recognizing single- font, rotated, broken, and fixed-size characters. If a personality is completely totally different from the example, the example matching produces incorrect recognition result. Among the disadvantage of recognizing inclined characters is solved by storing several templates of an identical character with totally different inclination angles. Fig2: Input Images Fig3: Different Template Images Database Image 252 INTERNATIONAL CONFERENCE ON CURRENT INNOVATIONS IN ENGINEERING AND TECHNOLOGY INTERNATIONAL ASSOCIATION OF ENGINEERING & TECHNOLOGY FOR SKILL DEVELOPMENT ISBN: 378 - 26 - 138420 - 5 www.iaetsd.in
- 3. Block Diagram for Toll Gate System: Fig: 4New Toll Gate system The planned system makes certain that the traffic at the toll gates is efficient and security is additionally gift. The tax that is collected is predicated on the load carried by the vehicle. Through this technique we will additionally determine taken vehicles. The reading the knowledge from vehicle plate recognition system, computer compares the information within the info and permits the access consequently by opening/closing the gate. This knowledge is employed to print a daily or monthly bill for toll assortment from the vehicles. This fashion even taken vehicles is known. The pressure of the vehicle is obtained victimization the pressure sensing element and consequently the pressure of the vehicle is showed on the display. A counter is employed to count the quantity of vehicles. The quantity on the idea of weight & the count of vehicles is additionally displayed on the screen. The quantity to be paid is mechanically deduced from the various checking accounts. If a vehicle carries any reasonably gas that shouldn’t be carried, the gas sensing element detects the gas within the vehicle. Just in case if there's any reasonably gas that's detected, the RF transmitter is employed to alert the close police headquarters associated an alarm is enabled to alert the encircling areas. Afterwards motor one is employed to shut the gate and at the same time motor two is employed to drag up the spikes so as to puncture the vehicle. The pressure of the vehicle is obtained victimization the pressure sensing element and consequently the pressure of the vehicle is showed on the display. A counter is employed to count the quantity of vehicles. The quantity on the idea of weight & the count of vehicles is additionally displayed on the screen. The quantity to be paid is mechanically deduced from the various checking accounts. If a vehicle carries any reasonably gas that shouldn’t be carried, the gas sensing element detects the gas within the vehicle. Just in case if there's any reasonably gas that's detected, the RF transmitter is employed to alert the close police headquarters associated an alarm is enabled to alert the encircling areas. Afterwards motor one is employed to shut the gate and at the same time motor two is employed to drag up the spikes so as to puncture the vehicle. PRESSURE SENSOR: A piezoelectric sensor as shown in figure 5 is a device that uses the piezoelectric effect to measure pressure, acceleration, strain or force by converting them to an electrical charge. Here a simple pressure sensor is used to protect door or window. It generates a loud beep when somebody tries to break the door or window. The alarm stops automatically after three minutes. The circuit uses a piezo element as the pressure sensor. Piezo buzzer exploits the piezoelectric property of the piezo electric crystals. The piezoelectric effect may be direct piezoelectric effect in which the electric charge develops as a result of the mechanical stressor reverse or indirect piezoelectric effect (Converse piezoelectric effect) in which a mechanical force such as pressure develops due to the application of an electric field. Fig5: Piezo electric sensor A typical example of direct piezoelectric effect is the generation of measurable amount of piezoelectricity when the Lead Zircon ate Titan ate crystals are deformed by mechanical or heat stress. The Lead Zircon ate Titan ate crystals also shows indirect piezoelectric effect by showing pressure when an electric potential is applied. 253 INTERNATIONAL CONFERENCE ON CURRENT INNOVATIONS IN ENGINEERING AND TECHNOLOGY INTERNATIONAL ASSOCIATION OF ENGINEERING & TECHNOLOGY FOR SKILL DEVELOPMENT ISBN: 378 - 26 - 138420 - 5 www.iaetsd.in
- 4. OPERATION: Operation of pressure sensor is very simple. Here we have two plates that is one is input plate and the other is output plate, whenever pressure is applied as shown in figure 6 then these two plates come into contact we get voltage as a output then this output is send to the FPGA in turn it shows the weight of the vehicles is shown in the display as per our project. Accordingly toll tax is calculated. It is made up of a piezoelectric crystal. Depending on how a piezoelectric material is cut, three main modes of operation can be distinguished into transverse, longitudinal, and shear. Figure 6 Pressure sensor operations GAS SENSOR: The Flammable Gas and Smoke sensors can detect the presence of combustible gas and smoke at concentrations from 300 to 10,000 ppm. Owing to its simple analogue voltage interface, the sensor requires one analogue input pin from the FPGA. Fig7: Gas Sensor (type-MQ2) The product can detect the pressure of the smoke and send the output in the form of analogue signals. Our range can function at temperature ranging from -20 to 50 degree Celsius and consume less than 150 mA at 5V. Sensitive material of MQ-2 gas sensor in the figure is SnO2 (Tin dioxide), which with lower conductivity in clean air. When the target combustible gas exist, the sensor’s conductivity is higher along with the gas concentration rising. MQ-2 gas sensor has high sensitivity to LPG, Propane and Hydrogen, also could be used to Methane. STRUCTURE AND CONFIGURATION: Structure and configuration of MQ-2 gas sensor is shown as figure, sensor composed by micro AL2O3 ceramic tube, Tin Dioxide (SnO2) sensitive layer, measuring electrode and heater are fixed into a crust made by plastic and stainless steel net. The heater provides necessary work conditions for work of sensitive components. The enveloped MQ-2 has 6 pin, four of them are used to fetch signals, and other two are used for providing heating current. WIRELESS COMMUNICATION MODULE: A general RF communication block diagram is shown in figure.8 since most of the encoders/decoders/microcontrollers are TTL compatible and mostly inputs by the user will be given in TTL logic level. Thus, this TTL input is to be converted into serial data input using an encoder or a microcontroller. This serial data can be directly read using the RF Transmitter, which then performs ASK (in some cases FSK) modulation on it and transmit the data through the antenna. In the receiver side, the RF Receiver receives the modulated signal through the antenna, performs all kinds of processing, filtering, demodulation, etc and gives out a serial data. This serial data is then converted to a TTL level logic data, which is the same data that the user has input. Fig8: RF communication block diagram Results: Fig9: Before Segmentation Number Plate 254 INTERNATIONAL CONFERENCE ON CURRENT INNOVATIONS IN ENGINEERING AND TECHNOLOGY INTERNATIONAL ASSOCIATION OF ENGINEERING & TECHNOLOGY FOR SKILL DEVELOPMENT ISBN: 378 - 26 - 138420 - 5 www.iaetsd.in
- 5. Fig10: After Segmentation Number Plate Fig11: Number Plate Recognition Fig12: After Matching CONCLUSION: Motive of this projected system is to detect the images of the vehicle plate accurately. The automated real-time vehicle plate recognition system has been demonstrated to provide correct identification of vehicles captured images from the camera. The system has been shown to be robust to lighting variations, headlight dazzle, and partial vehicle obscuration. The next stage of development will involve increasing the vehicle coverage of the reference database and further trials at sites including parking facilities and public highways. FUTURE WORK: The future analysis of ANPR ought to focus on multi style plate recognition, video-based ANPR mistreatment temporal information, multi plate’s process, high definition plate image process, ambiguous-character recognition, and so on. In four important factors were planned to identify the multi style license plate problem: license plate rotational angle, character line number, the alphanumerical varieties used and character formats REFERENCES [1] Kin Seong Leong, Mun Leng Ng, Member, IEEE, Alfio R. Grasso, Peter H. Cole, "Synchronization of RFID Readers for Dense RFID Reader Environments", International Symposium on Applications and the Internet Workshops (SAINTW’06), 2005 [2] Manish Buhptani, Shahram Moradpour, "RFID Field Guide - Developing Radio Frequency Identification Systems", Prentice Hall, 2005, pp 7- 9, 16-225, 160, 231 [3] Raj Bridgelall, Senior Member, IEEE, " Introducing a Micro-wireless Architecture for Business Activity Sensing ", IEEE International Conference RFID, April 16-17,2008 [4] Sewon Oh, Joosang Park, Yongioon Lee, "RFID-based Middleware System for Automatic Identification", IEEE International Conference on Service Operations and Logistics, and Information, 2005 [5] Shi-Cho Cha Kuan-Ju Huang Hsiang-Meng Chang, " An Efficient and Flexible Way to Protect Privacy in RFID Environment with Licenses ", IEEE International Conference RFID, April 16-17,2008 [6] Urachada Ketprom, Chaichana Mitrpant, Putchapan Lowjun, “Closing Digital Gap on RFID Usage for Better Farm Management”, PICMET 2007, 5-9 August 07 255 INTERNATIONAL CONFERENCE ON CURRENT INNOVATIONS IN ENGINEERING AND TECHNOLOGY INTERNATIONAL ASSOCIATION OF ENGINEERING & TECHNOLOGY FOR SKILL DEVELOPMENT ISBN: 378 - 26 - 138420 - 5 www.iaetsd.in