Learn To Create Face Recognition Door Lock With Raspberry Pi

How To Create Face Recognition Door Lock Using Raspberry Pi

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Last Updated: 2022-05-04 05:05:36 English Course Type: Self Learning

Raspberry Pi
Face Recognition Door Lock
AWS
Face Recognition
Python

In this course, we have created our own Face Recognition Door Lock using Raspberry Pi and 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 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 if 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 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.

No Requirements or Prerequisites

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Anyone Curious About Face Recognition Door Lock

Section 1 : Introduction 2 Lectures 00:07:00
Lecture 1 :
Introduction Preview
Lecture 2 :
Components Overview
Section 2 : AWS Setup 2 Lectures 00:13:33
Lecture 1 :
Creating AWS Account
Lecture 2 :
AWS Setup
Section 3 : Raspberry Pi 2 Lectures 00:09:36
Lecture 1 :
Raspberry Pi VsCode Setup
Lecture 2 :
Raspberry Pi Camera Setup
Section 4 : Face Recognition Door Lock 3 Lectures 00:13:46
Lecture 1 :
Index Faces / Faces Dataset
Lecture 2 :
Face Recognition
Lecture 3 :
Door Lock Setup

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Arbaz Khan,

369410 Course Views

10 Courses

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 where We are working on innovative real-time projects related to AI, ML, IOT, Automation, and Robotics.