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Complete Face Recognition Using SQL Database Project

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ARUNNACHALAM SHANMUGARAAJAN

1:14:42

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  • 1 - Introduction To Complete Face Recognition Using SQL Database Project.mp4
    00:54
  • 2 - FACE RECOGNITION PROJECT INTRO.mp4
    04:18
  • 3 - DATASET CREATER CLASS 1 IMPORT PACKAGES.mp4
    15:17
  • 4 - DATASET CREATER CLASS 2 SQL DATABASE CONNECTION.mp4
    13:31
  • 5 - DATASET CREATER CLASS 3 OUTPUT AND EXPLANATION.mp4
    06:19
  • 6 - TRAINING CLASS 1 IMPORT PACKAGES.mp4
    10:02
  • 7 - TRAINING CLASS 2 LBPH FACE RECOGNIZER AND OPENCV.mp4
    01:49
  • 8 - TRAINING CLASS 3 OUTPUT AND EXPLANATION.mp4
    03:28
  • 9 - FACE RECOGNITION CLASS 1 IMPORT PACKAGES.mp4
    07:21
  • 10 - FACE RECOGNITION CLASS 2 FACE DETECT AND SQL DATABASE.mp4
    07:56
  • 11 - FACE RECOGNITION CLASS 3 OUTPUT AND EXPLANATION.mp4
    03:47
  • Description


    Learn Complete Face Recognition Using SQL Database Project From Scratch

    What You'll Learn?


    • Understand the fundamentals of face recognition technology and its applications.
    • Learn how to design and create a SQL database schema for storing facial features.
    • Dive into the process of extracting facial features from images using OpenCV.
    • Establish connections between the face recognition algorithms and the SQL database.

    Who is this for?


  • Students and professionals in computer vision, security systems, and biometrics.
  • Developers interested in learning face recognition technology and its integration with SQL databases.
  • What You Need to Know?


  • Basic knowledge of SQL and database management.
  • Familiarity with Python programming and OpenCV library (helpful but not required).
  • More details


    Description

    Course Title: Complete Face Recognition Using SQL Database Project From Scratch

    Course Description:

    Welcome to the "Complete Face Recognition Using SQL Database Project From Scratch" course! In this comprehensive project-based course, you will embark on an exciting journey to create a robust face recognition system using SQL databases. From setting up the project environment to implementing advanced recognition algorithms, this course will equip you with the skills needed to build an efficient and secure face recognition application from the ground up.

    What You Will Learn:

    1. Introduction to Face Recognition:

      • Understand the fundamentals of face recognition technology and its applications.

      • Learn about the importance of databases in storing and managing facial data.

    2. Setting Up the Project Environment:

      • Explore how to set up a SQL database environment on your local machine or server.

      • Install necessary tools and libraries for face recognition integration with SQL.

    3. Creating the Facial Database:

      • Learn how to design and create a SQL database schema for storing facial features.

      • Understand the structure of the database tables and relationships.

    4. Facial Feature Extraction and Encoding:

      • Dive into the process of extracting facial features from images using OpenCV.

      • Explore how to encode and store these features in the SQL database for comparison.

    5. Face Detection and Recognition Algorithms:

      • Implement face detection algorithms to locate faces within images or video streams.

      • Learn about various recognition algorithms such as Eigenfaces, Fisherfaces, and LBPH.

    6. Integration with SQL Database:

      • Establish connections between the face recognition algorithms and the SQL database.

      • Store and retrieve facial features and recognition results efficiently.



    Why Enroll:

    • Hands-On Project Development: Engage in a complete project, from database design to user interface development.

    • Practical Skills Application: Apply face recognition algorithms in a real-world scenario using SQL databases.

    • Career Enhancement: Gain valuable experience in a cutting-edge technology field with practical project work.

    Embark on this exciting journey to create a comprehensive face recognition system using SQL databases. By the end of this course, you'll have a fully functional project to showcase your skills in face recognition technology and SQL database integration. Enroll now and bring your face recognition project to life!

    Who this course is for:

    • Students and professionals in computer vision, security systems, and biometrics.
    • Developers interested in learning face recognition technology and its integration with SQL databases.

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    ARUNNACHALAM SHANMUGARAAJAN
    ARUNNACHALAM SHANMUGARAAJAN
    Instructor's Courses
    Hi I am Arun From India. I am a computer science student and I have choosen cybersecurity as my profession. I am youtube content Creater and i teach people about the latest technology and new softwares and I am big cricket fan of MS Dhoni. I am better teaching communication and i can help people with my experienced knowledge about the technology.  I am choosing Udemy to show my passion towards technology and Science..
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 11
    • duration 1:14:42
    • Release Date 2024/05/04