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Learn To Create Face Recognition Door Lock With Raspberry Pi (コース)

How To Create Face Recognition Door Lock Using Raspberry Pi

すべてのレベル • 14 講義 • 生涯アクセス
Arbaz Khan

認定マスターインストラクター

Learn To Create Face Recognition Door Lock With Raspberry Pi
トレーラー
インストラクターに会う: Arbaz Khan

19 ms

5.0 / 5.0
グローバル評価
2時間
総コンテンツ

何を学ぶか

Raspberry Pi
Face Recognition Door Lock
AWS
Face Recognition

コース内容

5 セクション • 14 講義 • 02:00:55 全長

Introduction

01:04

Instructor Introduction

無料プレビュー
00:30

Components Overview

無料プレビュー
06:30

Creating AWS Account

05:52

AWS Setup

07:41

Raspberry Pi VsCode Setup

06:08

Raspberry Pi Camera Setup

無料プレビュー
03:28
週間学習計画
学習の旅を計画しよう
AIがあなたの可用時間に合わせたスケジュールを作成

要件

No Requirements or Prerequisites

対象者

Enthusiast Interested In Face Recognition Door Lock

Anyone Curious About Face Recognition Door Lock

このコースについて

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

キャリア機会と目指せる職種

実践的な実務スキルを身につけ、グローバルに活躍できる職種へのキャリアを拓きます

実践即戦力カリキュラム
目指せる主な職種・ポジション

Embedded Systems Engineer

IoT Firmware Developer

Hardware Prototyping Specialist

PCB & Circuit Layout Designer

想定平均年収
$85,000 – $135,000 / yr
世界的な市場需要

Top 5% Growing Engineering Segment

習得できる実践スキル
Microcontroller Architecture
Hardware-Software Integration
Sensor Protocols (I2C, SPI, UART)
Schematic & Circuit Diagnostics
* グローバルなテクノロジー業界の採用基準および給与調査レポートに基づいた目安です。
講師の紹介
Arbaz Khan
主な講師
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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