Learn To Create Face Recognition Door Lock With Raspberry Pi
How To Create Face Recognition Door Lock Using Raspberry Pi
IT & Software,Hardware,Face Detection
Lectures -9
Duration -1 hours
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Course Description
In this course, we have created our own Face Recognition Door Lock using Raspberry Pi and AWS Recognition 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 Recognition Service for recognition of the face of the person with the authorized user’s faces 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 Recognition service, the processing of the image for face recognition is faster as well as 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 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
Goals
What will you learn in this course:
Raspberry Pi
Face Recognition Door Lock
AWS
Face Recognition
Python
Prerequisites
What are the prerequisites for this course?
No Requirements or Prerequisites
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
2 Lectures
- Introduction 00:30 00:30
- Components Overview 06:30 06:30
AWS Setup
2 Lectures
Raspberry Pi
2 Lectures
Face Recognition Door Lock
3 Lectures
Instructor Details
Arbaz Khan
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.
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