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Face Recognition Based Attendance Monitoring System using Python by Command Prompt method
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📹 Face Recognition Based Attendance Monitoring System using Python | Command Prompt Method
Welcome to our tutorial on creating a Face Recognition Based Attendance Monitoring System using Python! In this comprehensive video, we'll guide you through the process of building an efficient attendance monitoring system that utilizes cutting-edge face recognition technology.
🤖 Harnessing the power of Python libraries like OpenCV and face_recognition, we'll demonstrate a step-by-step approach to set up the system through the command prompt. No prior advanced knowledge is required, making it suitable for beginners and intermediate programmers.
📋 Video Highlights:
Introduction to Face Recognition and its real-world applications.
Setting up the development environment: Installing required libraries.
Collecting and preparing the dataset of faces for accurate recognition.
Building the face recognition model using pre-trained embeddings.
Implementing the attendance monitoring logic.
Integrating command prompt interaction for seamless user experience.
Running the system and capturing attendance through webcam feed.
Generating detailed reports and logs for easy record-keeping.
Whether you're an educator aiming to modernize attendance tracking or a Python enthusiast interested in diving into face recognition, this tutorial is perfect for you. By the end of this video, you'll have a functional attendance monitoring system that's accurate, efficient, and user-friendly.
🔔 Don't forget to subscribe and hit the notification bell to stay updated on more exciting tutorials in the world of Python, machine learning, and computer vision!
👍 If you found this video helpful, please give it a thumbs up and share it with your friends and colleagues. Feel free to leave any questions or suggestions in the comments section below. Happy coding and automating your attendance monitoring process with the power of Python and face recognition!
#Python #FaceRecognition #AttendanceSystem #OpenCV #CommandPrompt #MachineLearning
--------------------------------------------------------------------
LINK TO DOWNLOAD THE REQUIRED ZIP FILE :-
--------------------------------------------------------------------
* LANGUAGE USED *
Python
* PLATFORM USED *
IDLE Python 3.10 but by Command Prompt method
*PLEASE DOWNLOAD & INSTALL IDLE Python 3.10 or IDLE Python 3.11 from Windows Store, BEFORE STARTING THE PROJECT*
* PYTHON MODULES used *
( All the modules are installed using Command Prompt )
pip install tk-tools
pip install opencv-contrib-python
pip install datetime
pip install pytest-shutil
pip install python-csv
pip install numpy
pip install pillow
pip install pandas
pip install times
* PASSWORD FOR SAVING THE ATTENDANCE PROFILE *
smagix
--------------------------------
GEAR USED
My Laptop: 2020 edition so out of stock
--------------------------------
* LINK TO THE 1st PART OF THIS VIDEO from my 1st channel SMARTECH MAGIX *
👇🏻👇🏻👇🏻👇🏻👇🏻👇🏻
Face Recognition Based Attendance Monitoring System
👇🏻👇🏻👇🏻👇🏻👇🏻👇🏻
* LINK TO THE 2nd PART OF THIS VIDEO from my 1st channel SMARTECH MAGIX *
👇🏻👇🏻👇🏻👇🏻👇🏻👇🏻
Face Recognition Based Attendance Monitoring System using Python 3.7
👇🏻👇🏻👇🏻👇🏻👇🏻👇🏻
* LINK TO THE 3rd PART OF THIS VIDEO from this channel i.e. SHADOW BYTESS *
👇🏻👇🏻👇🏻👇🏻👇🏻👇🏻
Face Recognition Based Attendance Monitoring System using Python on Windows 11
👇🏻👇🏻👇🏻👇🏻👇🏻👇🏻
---------------------------------------------------------------
🔗LINK TO JOIN MY WHATSAPP GROUP 🔗
👇🏻👇🏻👇🏻👇🏻
Guys please join my WhatsApp group to get instant reply to your doubts
---------------------------------------------------------------
**PROJECT CREDITS**
Shubham Kumar
Originally coded by Shubham Kumar
👇🏻👇🏻👇🏻👇🏻
-------------------------------------------------------------------
Music Credit-
Track: 🎵 1 Hour Copyright Free EDM Music Mix 🔥 | NoCopyrightSounds
Music provided by NoCopyrightSounds.
Free Download / Stream:
Welcome to our tutorial on creating a Face Recognition Based Attendance Monitoring System using Python! In this comprehensive video, we'll guide you through the process of building an efficient attendance monitoring system that utilizes cutting-edge face recognition technology.
🤖 Harnessing the power of Python libraries like OpenCV and face_recognition, we'll demonstrate a step-by-step approach to set up the system through the command prompt. No prior advanced knowledge is required, making it suitable for beginners and intermediate programmers.
📋 Video Highlights:
Introduction to Face Recognition and its real-world applications.
Setting up the development environment: Installing required libraries.
Collecting and preparing the dataset of faces for accurate recognition.
Building the face recognition model using pre-trained embeddings.
Implementing the attendance monitoring logic.
Integrating command prompt interaction for seamless user experience.
Running the system and capturing attendance through webcam feed.
Generating detailed reports and logs for easy record-keeping.
Whether you're an educator aiming to modernize attendance tracking or a Python enthusiast interested in diving into face recognition, this tutorial is perfect for you. By the end of this video, you'll have a functional attendance monitoring system that's accurate, efficient, and user-friendly.
🔔 Don't forget to subscribe and hit the notification bell to stay updated on more exciting tutorials in the world of Python, machine learning, and computer vision!
👍 If you found this video helpful, please give it a thumbs up and share it with your friends and colleagues. Feel free to leave any questions or suggestions in the comments section below. Happy coding and automating your attendance monitoring process with the power of Python and face recognition!
#Python #FaceRecognition #AttendanceSystem #OpenCV #CommandPrompt #MachineLearning
--------------------------------------------------------------------
LINK TO DOWNLOAD THE REQUIRED ZIP FILE :-
--------------------------------------------------------------------
* LANGUAGE USED *
Python
* PLATFORM USED *
IDLE Python 3.10 but by Command Prompt method
*PLEASE DOWNLOAD & INSTALL IDLE Python 3.10 or IDLE Python 3.11 from Windows Store, BEFORE STARTING THE PROJECT*
* PYTHON MODULES used *
( All the modules are installed using Command Prompt )
pip install tk-tools
pip install opencv-contrib-python
pip install datetime
pip install pytest-shutil
pip install python-csv
pip install numpy
pip install pillow
pip install pandas
pip install times
* PASSWORD FOR SAVING THE ATTENDANCE PROFILE *
smagix
--------------------------------
GEAR USED
My Laptop: 2020 edition so out of stock
--------------------------------
* LINK TO THE 1st PART OF THIS VIDEO from my 1st channel SMARTECH MAGIX *
👇🏻👇🏻👇🏻👇🏻👇🏻👇🏻
Face Recognition Based Attendance Monitoring System
👇🏻👇🏻👇🏻👇🏻👇🏻👇🏻
* LINK TO THE 2nd PART OF THIS VIDEO from my 1st channel SMARTECH MAGIX *
👇🏻👇🏻👇🏻👇🏻👇🏻👇🏻
Face Recognition Based Attendance Monitoring System using Python 3.7
👇🏻👇🏻👇🏻👇🏻👇🏻👇🏻
* LINK TO THE 3rd PART OF THIS VIDEO from this channel i.e. SHADOW BYTESS *
👇🏻👇🏻👇🏻👇🏻👇🏻👇🏻
Face Recognition Based Attendance Monitoring System using Python on Windows 11
👇🏻👇🏻👇🏻👇🏻👇🏻👇🏻
---------------------------------------------------------------
🔗LINK TO JOIN MY WHATSAPP GROUP 🔗
👇🏻👇🏻👇🏻👇🏻
Guys please join my WhatsApp group to get instant reply to your doubts
---------------------------------------------------------------
**PROJECT CREDITS**
Shubham Kumar
Originally coded by Shubham Kumar
👇🏻👇🏻👇🏻👇🏻
-------------------------------------------------------------------
Music Credit-
Track: 🎵 1 Hour Copyright Free EDM Music Mix 🔥 | NoCopyrightSounds
Music provided by NoCopyrightSounds.
Free Download / Stream:
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