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Learn To Create Face Recognition Door Lock With Raspberry Pi

How To Create Face Recognition Door Lock Using Raspberry Pi

Todos los niveles • 14 Lecciones • Acceso de por vida
Arbaz Khan

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Learn To Create Face Recognition Door Lock With Raspberry Pi
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5.0 / 5.0
Calificación Global
2h
Contenido Total

Lo que aprenderás

Raspberry Pi
Face Recognition Door Lock
AWS
Face Recognition

Contenido del curso

5 secciones • 14 lecciones • 02:00:55 duración total

Introduction

01:04

Instructor Introduction

Vista previa gratuita
00:30

Components Overview

Vista previa gratuita
06:30

Creating AWS Account

05:52

AWS Setup

07:41

Raspberry Pi VsCode Setup

06:08

Raspberry Pi Camera Setup

Vista previa gratuita
03:28
Plan de Estudio Semanal
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Requisitos

No Requirements or Prerequisites

A quién va dirigido

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Acerca de este curso

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

Oportunidades Profesionales y Puestos de Trabajo

Desarrolla habilidades prácticas listas para el empleo y califica para puestos de alto impacto

Plan de Estudios para el Empleo
Puestos a los que Puedes Postular

Embedded Systems Engineer

IoT Firmware Developer

Hardware Prototyping Specialist

PCB & Circuit Layout Designer

Salario Anual Estimado
$85,000 – $135,000 / yr
Demanda en el Mercado Global

Top 5% Growing Engineering Segment

Habilidades Clave que Dominarás
Microcontroller Architecture
Hardware-Software Integration
Sensor Protocols (I2C, SPI, UART)
Schematic & Circuit Diagnostics
* Estimaciones basadas en estándares globales de contratación y compensación del sector.
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Arbaz Khan
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Arbaz Khan
Instructor Principal
Artificial Intelligence Enthusiast || Python Developer
Hello, my name is Arbaz Khan and I am a Computer Science Engineer with a track record of excellence in research and teaching. At the age of 21, I received recognition for my work with two research papers published in international journals, one of which is copyrighted by the Govt Copyright Office India. I have had the privilege of educating over 150,000 students worldwide in the field of programming, and have developed three best-selling courses available on 12 different e-learning platforms. My 5+ years of experience in Research, IoT, Python, Data Science, and Teaching, as well as proficiency in C, C++, and Java, have equipped me with the skills necessary to provide comprehensive and impactful instruction. I take pride in utilizing Python Programming Language to automate everyday tasks, such as home automation, to streamline my work and save time. In addition, I am the founder of a startup called GetSetCode (GSC), where we focus on developing innovative real-time projects in the fields of AI, ML, IoT, Automation, and Robotics. Our mission is to make the latest and fastest-growing technologies accessible to students at an affordable price, while also providing hands-on experience in their practical applications....

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