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How do I improve the Vehicle Detection Rate and License Plate Recognition Accuracy?

Created: Jan 13, 2020 08:43:25Latest reply: Jan 13, 2020 09:00:01 390 2 0 0 0
  Rewarded HiCoins: 0 (problem resolved)

Hello, experts!

How can I to improve the Vehicle Detection Rate and License Plate Recognition Accuracy? I want to improve it! Thanks!

Featured Answers
Hey,girl
Created Jan 13, 2020 08:47:25

Hello, dear!

Have a good day to you!

Please refer to the following tips to improve it!

  1. Adjusting camera installation.

    Adjust the camera installation location, shooting angle, and height. For details about the installation requirements, see IPC Installation Requirements.

  2. Configuring image quality.

    Set image parameters to adjust the duration the license plate stayed in the image and definition of the license plate. For details, see Image Quality Commissioning.

  3. Commissioning the VCM.

    Adjust the ROI area and license plate recognition algorithm parameters for VCM to perform license plate recognition. For details about how to commission the VCM, see Configuration in the VCM.


I hope the answer can help you!

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All Answers

Hello, dear!

Have a good day to you!

Please refer to the following tips to improve it!

  1. Adjusting camera installation.

    Adjust the camera installation location, shooting angle, and height. For details about the installation requirements, see IPC Installation Requirements.

  2. Configuring image quality.

    Set image parameters to adjust the duration the license plate stayed in the image and definition of the license plate. For details, see Image Quality Commissioning.

  3. Commissioning the VCM.

    Adjust the ROI area and license plate recognition algorithm parameters for VCM to perform license plate recognition. For details about how to commission the VCM, see Configuration in the VCM.


I hope the answer can help you!

View more
  • x
  • convention:

E.DR_91
E.DR_91 MVE Author Created Jan 13, 2020 09:00:01

Hello Dear
Please check the below proposals :

  •    Background Update:

  •    Reading the background image.

  •    Reading the current frame.
       
  •    Converting image frame from RGB to HSV color model

  •    Converting image from HSV to Grayscale model.
       
  •    Converting Grayscale to Binary image.
       
  •    performing Median Filter to remove noise.
       
  •    Boundary label the filtered image.
       
  •    Tracing region boundaries in a binary image.
       
  •    Displaying the result




  •    Color Segmentation

  •    Reading background Subtraction resulting image.

  •    Selecting specific color for segmentation.
      
  •   Normalizing color values by Multiplying with 255. Where values are between 0 to 1.
      
  •    Comparing frame image pixels with the color rang.
      
  •    Isolating the selected color from the frame image.
     
  •    Edge Detection

Use Sobel operator:  which uses two masks (vertical and
horizontal) is  used  on the  selected image to detect  and  localize
edges. Then, the image is converted to binary image format which
is useful

  •     Image Segmentation
      
The  segmentation  process
aims to divide the license plate into different regions then segment
each number, character and word into sub images

and you should work to solve the below

CHALLENGES IN EXISTING SYSTEM:

  •     Data extraction from the a vehicle number
  •    Difficulty in recognition of different shape and color     
  •    Weaker result under illumination and complex background     
  •    Difficulty in predicting when multiple cars are present on single frame.    
  •    Misplaced character recognition


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