Vehicle Licence Plate Identification Using Matlab Image Processing Block Diagram:
Vehicle Licence Plate Identification Using Matlab Image Processing Working Principle:
ANPR uses optical character recognition (OCR) on images taken by cameras. When Dutch vehicle registration plates switched to a different style in 2002, one of the changes made was to the font, introducing small gaps in some letters (such as P and R) to make them more distinct and therefore more legible to such systems. Some license plate arrangements use variations in font sizes and positioning. ANPR systems must be able to cope with such differences in order to be truly effective. More complicated systems can cope with international variants, though many programs are individually tailored to each country.
The cameras used can include existing road-rule enforcement or closed-circuit television cameras, as well as mobile units, which are usually attached to vehicles. Some systems use infrared cameras to take a clearer image of the plate.
Working 1: Image Acquisition
The proposed method is designed for real-time license plate extraction. Input to the system is an image which contains the license plate, acquired from a digital camera of the front or rear of the vehicle, and its Output is the license plate region.
Working 2: Create Database
Acquire image of every alphabets and letters convert to gray and binary then resize all images to one size and store as template in Matlab memory.
Working 3: Testing Phase
After acquiring the image perform gray-scale conversion, image binarization, filtration and image enhancement, binarization and smoothing process and Character segmentation horizontally and vertically. Then match the extracted image with the saved database images and print the recognized characters and send serial data to open a gate or not.
Vehicle Licence Plate Identification Using Matlab Image Processing Software Requirements:
- MATLAB 2008 and above
- LANGUAGE-Embedded C.
Vehicle Licence Plate Identification Using Matlab Image Processing Kits Contains:
- PCB and programmed Microcontroller/Processor
- 2 Relay Board
- USB to TTL converter
- transformer (12 volts)
- CD/DVD Project Report &CBT(Computer Based Training)*
- Source code and datasheets
Reference :
Above design based on latest IEEE, Spring and other international journal and Publication .The reference paper will be given along with kits.
Vehicle Licence Plate Identification Using Matlab Image Processing Kits Details:
PIC Controller
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Sl.no.
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Components
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Legend
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Quantity
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1.
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40 Pin PIC with IC base
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IC2
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1
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2.
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20MHz crystal oscillator
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Q1
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1
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3.
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Capacitor 33pF
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C2,C3
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2
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4.
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Reset switch
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S5
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1
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5.
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Resistor 1KΩ
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R5
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1
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6.
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Resistor 470Ω
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R1
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1
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7.
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LED
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LED1
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1
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8.
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Capacitor 0.1µF
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C8
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1
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9.
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DC socket
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J1
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1
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10.
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IC DB107
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B2
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1
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11.
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IC 7805
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IC1
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1
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12.
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Capacitor 1000µF
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(filter capacitor near bridge)
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1
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13.
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Burg stick
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N/A
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1
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14.
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PIC project board
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N/A
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1
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2 Relay board components:
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Sl.no
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Components
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Quantity
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1.
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12V DC Relays
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2
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2.
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Transistor BC547/BC548
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4
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3.
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LED
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2
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4.
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Resistor 1KΩ
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2
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5.
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Resistor 2.2KΩ
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2
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6.
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4 Pin connector with cable
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1
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7.
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Screw Connector
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2
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8.
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2 relay PCB
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1
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Miscellaneous
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Sl.no.
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Components
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Quantity
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1.
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USB to TTL converter
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1 No.
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2.
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Geared DC motor
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1 No.
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3.
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Transformer(230V to 12V)
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1 No.
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4.
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AC cable
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1 No.
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5.
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DC jack
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1 No.
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6.
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3 Pin connector with cable
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1 No.
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| Order Processing Time |
3 Working Days |
| Buyer Protection: |
- Full Refund if you don't receive your order
- You can get a full refund if your item is significantly different from described*.
|
PLEASE NOTE:
- The above images are sample prototype images for PIC controller. The controller/processor will change based on the selection made above (inControllers/Processor option), and controller/processor software will change accordingly.
- High quality PCB FR4 Grade with FPT Certified.
*Conditions Apply
