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Course description

In this course, we have created our own *Face Recognition Door Lock using Raspberry Pi and the AWS Rekognition* service provided by AWS Cloud.

This Project works using Raspberry Pi Camera to capture the image of the person at the door if the button is pressed and after that, the image is sent to AWS Rekognition Service for recognition of the face of the person with the authorized user’s face and if the face is recognized successfully then the electronic door lock connected to Raspberry Pi is Unlocked for the authorized user to enter in the room.

In case the person is not recognized then the image f that person is sent to the authorized user’s email address.

With the use of AWS Rekognition service, the processing of the image for face recognition is faster as well as more accurate and this makes the project fast, reliable, cheap as well as highly secured as compared to other existing projects.

This development scheme using Raspberry Pi is less power consumption as it can be also powered by a power bank or 5V power supply and is flexible as the size of Raspberry Pi is compact so it can be installed in a small space.

*Keywords – Face Recognition Door Lock, Smart Door Lock, IoT, Face Recognition, Security*


Who this course is for:

  • Enthusiast Interested In Face Recognition Door Lock

  • Anyone Curious About Face Recognition Door Lock


Requirements:

  • No Requirements or Prerequisites


What you'll learn:

  • Raspberry Pi

  • Face Recognition Door Lock

  • AWS

  • Face Recognition

  • Python

Course curriculum

Meet your instructor!

Arbaz Khan
Artificial Intelligence Enthusiast || Python Developer


Hello, I am Arbaz Khan, a Computer Science Engineer.

I have experience in IoT, Python, Data Science, and learning New Technologies. Also, I am good at C, C++, JAVA.

I love to Automate things like Home Automation and other tasks using Python Programming Language.

I'm also running my own startup named GetSetCode were we are working on innovative real-time projects related to AI, ML, IOT, Automation, and Robotics.

Private Label Rights (PLR)

This course is available with Private Label Rights (PLR). 

When you buy a course with private label rights on Uthena, the author of the course gives you permission to download the course and sell it as your own on your website according to the terms of the PLR license included.

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After purchasing, you will have access to the course on Uthena and you will receive the PLR license with a download link and a special bonus.

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You have the option to buy Master Resell Rights (MRR) to this course, which allows your customers to have the right to sell the course as well.

See a sample of the MRR license.

Take this course today!

"Learn To Create Face Recognition Door Lock With Raspberry Pi"

  • $37.81

    Lifetime enrollment

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  • $197.81

    Course + Master Resell Rights

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  • $67.81

    Course + Private Label Rights

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You can buy Private Label Rights (PLR) for this course and others, click here.

You can buy Master Resell Rights (MRR) for this course and others, click here.