Automatic and Secure Electronic Gate System Using Fusion of License Plate, Car Make Recognition and Face Detection

Project Code :TMMAIN02

Objective

In this project face and license plate is authenticated at the door. If they belong to the owner of the apartments then doors will open automatically. If not, an authentication message will be sent to the authorized person.

Abstract

In this paper, we develop a framework for enhancing the secure electronic gate system. In recent times, automatic license plate, car make recognition and face recognition algorithms are playing a key role in several security applications. The proposed framework can be divided into three segments including such as car make and model, license plate detection and face identification.

 The fusion of these three techniques will enhance the security level and build a highly secure automatic gate at the entrance of restricted areas. The proposed results show very high detection and identification results regardless of the facial pose variation. The results demonstrate the feasibility of developed framework to be deployed in any public areas.

Keywords: Difference of Gaussians (DoG) detector, facial recognition, electronic gate.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Hardware & Software Requirements:

Software: Matlab R2018a.

Hardware:

Operating Systems:

  • Windows 10
  • Windows 7 Service Pack 1
  • Windows Server 2019
  • Windows Server 2016

Processors:

Minimum: Any Intel or AMD x86-64 processor

Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support

Disk:

Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation

Recommended: An SSD is recommended a full installation of all Math Works products may take up to 29 GB of disk space.

RAM:

Minimum: 4 GB

Recommended: 8 GB

Learning Outcomes

  • Introduction to Matlab
  • What is EISPACK & LINPACK
  • How to start with MATLAB
  • About Matlab language
  • Matlab coding skills
  • About tools & libraries
  • Application Program Interface in Matlab
  • About Matlab desktop
  • How to use Matlab editor to create M-Files
  • Features of Matlab
  • Basics on Matlab
  • What is an Image/pixel?
  • About image formats
  • Introduction to Image Processing
  • How digital image is formed
  • Importing the image via image acquisition tools
  • Analyzing and manipulation of image.
  • Phases of image processing:
    • Acquisition
    • Image enhancement
    • Image restoration
    • Color image processing
    • Image compression
    • Morphological processing
    • Segmentation etc.,
  • How to enhance the framework using Image Processing
  • How to extend our work to another real time applications
  • Project development Skills:
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills

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