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

How To Create Face Recognition Door Lock Using Raspberry Pi

모든 레벨 • 14 강의 • 평생 이용권
Arbaz Khan

검증된 마스터 강사

Learn To Create Face Recognition Door Lock With Raspberry Pi
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강사를 만나세요: Arbaz Khan

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5.0 / 5.0
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2시간
총 내용

무엇을 배울 것인가

Raspberry Pi
Face Recognition Door Lock
AWS
Face Recognition

코스 내용

5 섹션 • 14 강의 • 02:00:55 총 길이

Introduction

01:04

Instructor Introduction

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00:30

Components Overview

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06:30

Creating AWS Account

05:52

AWS Setup

07:41

Raspberry Pi VsCode Setup

06:08

Raspberry Pi Camera Setup

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03:28
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요구사항

No Requirements or Prerequisites

대상 고객

Enthusiast Interested In Face Recognition Door Lock

Anyone Curious About Face Recognition Door Lock

이 코스에 대하여

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

커리어 기회 및 목표 직무

실무 중심의 역량을 강화하고 글로벌 경쟁력을 갖춘 핵심 직무에 지원하세요

실무 즉시 적용 커리큘럼
지원 가능한 주요 직무

Embedded Systems Engineer

IoT Firmware Developer

Hardware Prototyping Specialist

PCB & Circuit Layout Designer

예상 평균 연봉
$85,000 – $135,000 / yr
글로벌 시장 수요

Top 5% Growing Engineering Segment

습득하게 되는 핵심 실무 역량
Microcontroller Architecture
Hardware-Software Integration
Sensor Protocols (I2C, SPI, UART)
Schematic & Circuit Diagnostics
* 글로벌 IT 채용 벤치마크 및 산업별 급여 보고서를 바탕으로 한 추정치입니다.
강사 소개
Arbaz Khan
5.0 평가
2 학생
프로필 전체 보기
Arbaz Khan
메인 강사
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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