ANPR PowerPoint

Ashok Basnet 062/DCT/407Ashok Basnet 062/DCT/407Bishnu Parajulli 062/DCT/410Bishnu Parajulli 062/DCT/410Ishwor Pd.Rijal 062/DCT/416 Ishwor Pd.Rijal 062/DCT/416 Kabindra Kaji Bajrachraya 062/DCT/419Kabindra Kaji Bajrachraya 062/DCT/419Kiran Karki 062/DCT/420Kiran Karki 062/DCT/420Krishna Bdr Shrestha 062/DCT/421Krishna Bdr Shrestha 062/DCT/421Mohan Pandey 062/DCT/422Mohan Pandey 062/DCT/422Ramhari Regmi 062/DCT/430Ramhari Regmi 062/DCT/430

Raju Pandey&

Pravin shakya

Introduction

Objectives1. To be familiar with image processing technique for detection of

Number plate area.2. To be familiar with OCR.3. To be familiar with MATLAB software.4. To interface hardware using parallel port of the computer.5. To develop a line tracking robot which can move in a guided

track and detect the closed door.6. To be familiar with Microcontroller and related components for

building automatic robot.7. To know assembly level programming language and

implement it in ALR.8. To develop a security system.

(SIMPLY INTRODUCTION)1.MAT LAB

2. OCR (Optical Capturing Recognizer)

3. PARALLEL PORT

4. ALGORITHM: Convert Image into Binary Detecting Number Plate Area

5. REQUIREMENT: Software Hardware

6. SYSTEM BLOCK DIAGRAM: ALR (Automatic Line –Tracking Robert) Image Processing Parallel Port Data Control

7. DESIGN: DFD (Data Flow Diagram)(0,1) ERD (Entity Relationship Diagram)

8. AUTOMATIC LINE-TRACKING ROBORT

9. SYSTEM

10. ESTIMATED COST

11. DISCUSSION SND CONCLUSION

Introduction Massive integration of information technologies into all aspects of modern life caused Massive integration of information technologies into all aspects of modern life caused

demand for processing vehicles as conceptual resources in information systems. Because a demand for processing vehicles as conceptual resources in information systems. Because a standalone information system without any data has no sense, there was also a need to standalone information system without any data has no sense, there was also a need to transform information about vehicles between the reality and information systems. This can transform information about vehicles between the reality and information systems. This can be achieved by a human agent, or by special intelligent equipment which is be able to be achieved by a human agent, or by special intelligent equipment which is be able to recognize vehicles by their number plates in a real environment and reflect it into conceptual recognize vehicles by their number plates in a real environment and reflect it into conceptual resources. Because of this, various recognition techniques have been developed and resources. Because of this, various recognition techniques have been developed and number plate recognition systems are today used in various traffic and security applications, number plate recognition systems are today used in various traffic and security applications, such as parking, access and border control, or tracking of stolen cars.such as parking, access and border control, or tracking of stolen cars.

In entrance gate, number plates are used to identify the vehicles. When a vehicle enters an In entrance gate, number plates are used to identify the vehicles. When a vehicle enters an input gate, number plate is automatically recognized and stored in database and black-listed input gate, number plate is automatically recognized and stored in database and black-listed number is not given permission. When a vehicle later exits the place through the gate, number is not given permission. When a vehicle later exits the place through the gate, number plate is recognized again and paired with the first-one stored in the database and it is number plate is recognized again and paired with the first-one stored in the database and it is taken a count. Automatic number plate recognition systems can be used in access control. taken a count. Automatic number plate recognition systems can be used in access control. For example, this technology is used in many companies to grant access only to vehicles of For example, this technology is used in many companies to grant access only to vehicles of authorized personnel.authorized personnel.

In some countries, ANPR systems installed on country borders automatically detect and In some countries, ANPR systems installed on country borders automatically detect and monitor border crossings. Each vehicle can be registered in a central database and monitor border crossings. Each vehicle can be registered in a central database and compared to a black list of stolen vehicles. In traffic control, vehicles can be directed to compared to a black list of stolen vehicles. In traffic control, vehicles can be directed to different lanes for a better congestion control in busy urban communications during the rush different lanes for a better congestion control in busy urban communications during the rush hours.hours.

Automatic Line Tracking Robot (ALR) is used in this project as a vehicle which contains Automatic Line Tracking Robot (ALR) is used in this project as a vehicle which contains circuitry for moving in a guided track. It will have mechanism to detect the opened and closed circuitry for moving in a guided track. It will have mechanism to detect the opened and closed door. It also will have capacity to park in the given parking area.door. It also will have capacity to park in the given parking area.

Requirements

Software requirementSoftware requirement Hardware requirementHardware requirement

MATLAB R2008a

Windows xp

PC

Webcam

Automatic line tracking robot Webcam Driver

System Block Diagram

ALR[as vehicle]

System Block Diagram

Web camera

Image Processing

Capturing

Conditioning

Detection

Segmentation

Identification

Save

Template

Door Control Parallel Port

System

Design

Design

1.DATA FLOW DIAGRAM

Level O DFD (context diagram)Level 1 DFD

2 ENTITY RELATIONSHIP DIAGRAM

AutomaticNo.plate

recognition system

vehicle

Database Computer

Level 0 DFD

Either permission for entrance or rejection order

Vehicle no. & other info

Level 0 DFD

Level 1 DFD

vehicle

2.0

Collection of info about

vehicle

Arrival information

file

Information related with vehicle

Arrival information

Computer

5.0

Open door either to enter

or exit

1.0Enrolment of

Vehicle

3.0Produces either

restriction or allow to enter

4.0

Produce summary report

Database

Vehicle registration request

Vehicle records Vehicle Record

file

Vehicle information

Vehicle records Vehicle records

List ofvehicle

Summaryreport

Vehicle records

Permission to enter or leave

Level 1 DFD

Entity Relationship Diagram

Extracts_info

Vehicle_no.

vehicle

Vehicle_brand Owner_address

Camera

Camera_no

Resolution size

Computer

Serves_info

computer_name

IP address

Vehicle_colorBrand

capacity

memory

Processor speed

storage

Door controller Serves instruction

Monitors

Controller_no

size

capacity

Image Processing and Matlab

Matlab Matlab is an abbreviation of Matrix Laboratory. It is a popular Mathematical Programming Environment

used extensively in Education as well as in Industry. The trick behind Matlab is that everything is represented

in the form of arrays or matrices. Mathematical Operations starting from simple algebra to

complex calculus may be conveniently carried out using this environment.

The main use of Matlab in Software Development is Algorithm Design and Development.

Code developed in Matlab can be converted into C, C++ or Visual C++.

Additionally Matlab may be called as ActiveX Object from still higher level languages like Visual Basic, etc.

Image Processing Image Processing generally involves extraction

of useful information from an image. This useful information may be the dimensions

of an engineering component, size of diagnosed tumor, or even a 3D view of an unborn baby.

The main areas of application of Image Processing are Bio-Medical, Engineering, Quality Control, Face Detection , Traffic Control etc.

Image Processing (contd.)

Source Image Formatting

Observed ImageConditioning

Conditioned ImageLabeling

Grouping

Extracting

Matching

Templates

Labeled Image

Grouped Image

Extracted ImageTarget Image

Image Processing in Matlab

Images can be conveniently represented as matrices in Matlab. One can open an image as a matrix using imread command. The matrix may simply be m x n form or it may be 3 dimensional

array or it may be an indexed matrix, depending upon image type. The image processing may be done simply by matrix calculation or

matrix manipulation. Image may be displayed with imshow command. Changes image may then be saved with imwrite command.

Algorithms

System Algorithm

1. Input image from webcam.2. Convert image into binary.3. Detect number plate area.4. Segmentation.5. Number identification.6. Save to file in given format

Algo: Input Image1. Capture image from webcam.2. Store the captured image into a image file for further

processing.

Algo: Convert Image into Binary

1.Identify the intensity of the image. If image intensity = high Reduce intensity Else if intensity = low

Increase intensity Else

No change.

2.Convert image into grayscale.3.Calculate appropriate threshold value for the image.4.Convert the image into binary image using the calculated threshold.

Algo: Detecting Number plate area

1.Fill small holes including numbers of Number plate so that number plate area will be large to isolate from figure.

2.Determine width and height of the image.3.Scan each pixel of line counting number of white pixels in the following

system,If number of ‘white’ pixels < x; pixels become ‘black’

Else; no change If number of ‘white’ pixels > y; pixels become ‘black’

Else; no change The value of x and y may be changed according the image intensity and plate

area.

4. Use the step no. 3 for both horizontal and vertical direction.5.Check number of possible areas.6. Logically AND with binary image obtained at “Convert image into binary

algorithm.

7.Crop the required area.

Algo: Segmentation

1. Filter the noise level present in the image.2. Clip the plate area in such a way that only numbers of plate

area extracted.3. Separate each character from the plate.

1. Create the template file from the stored template images.2. Resize image obtained from segmentation to the size of

template.3. Compare each character with the templates.4. Store the best matched character.

Algo: Number Identification

Algo: Save to file in given format

1. Open a text file in write mode.2. Store the character obtained from the number identification

process to text file in given format.3. Close the file.

Parallel Port Interfacing

Parallel Port

Parallel communication requires as much wires as the no. of bits in a word for its transmission.

Parallel port is generally a 25 pin female connector with which a printer is usually attached.

Pin Configuration of Parallel Port

Pin AssignmentPin No Signal name Direction Register - bit

Inverted

1 nStrobe Out Control-0 Yes

2 Data0 In/Out Data-0 No

3 Data1 In/Out Data-1 No

4 Data2 In/Out Data-2 No

5 Data3 In/Out Data-3 No

6 Data4 In/Out Data-4 No

7 Data5 In/Out Data-5 No

8 Data6 In/Out Data-6 No

9 Data7 In/Out Data-7 No

10 nAck In Status-6 No

11 Busy In Status-7 Yes

12 Paper-Out In Status-5 No

13 Select In Status-4 No

14 Linefeed Out Control-1 Yes

15 nError In Status-3 No

16 nInitialize Out Control-2 No

17 nSelect-Printer Out Control-3 Yes

18-25 Ground - - -

Interfacing System using Parallel Port

Computer Instruction

For Door

Control

Computer Parallel

Port

Inverting Buffer

(CD4049)

Darlington Pair IC

(ULN2003)

H- bridgeDPDT Relay

Door Mechanism

Automatic Line Tracking

Robot(ALR)

Line Tracking Robot

Input from

Sensor

Comparator(LM324)

AT89s52 Micro-

controller

Inverting Buffer IC (CD4049)

Darlington Pair IC

(ULN2003)Relay

Motors

Limitations

Limitations

Recognizes only specified font (Times New Roman) number plate only.

Can’t clearly recognize or distinguish character like B and 8, 2 and Z , 0 and O etc.

The distance of image captured is also limited. Lighting Conditions greatly effect the image processing.

Cost Estimation

Effort Cost= Rs.150000 Software requirements=Rs.2500 Hardware Requirements=Rs.6000 Internet Surfing= Rs.2000 Reference materials bought=Rs.5000 Transportation Cost=Rs.1000 Communication Cost=Rs.1000

Total cost = Rs. 1,67,500/-

Conclusion Conclusion and and DiscussionDiscussion

To our project Supervisor Mr. Raju To our project Supervisor Mr. Raju Pandey & Mr.Pravin ShakyaPandey & Mr.Pravin Shakya

The Department of Computer and The Department of Computer and ElectronicsElectronics

All the Supporting Teachers in our All the Supporting Teachers in our ProjectProject