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IT i oprogramowanie/Sprzęt komputerowy/Malinowe Pi

Create a Facial Recognition Door Lock With Raspberry Pi (Kurs)

Learn how to use the camera module and OpenCV to detect and recognize faces and turn this into door unlock system

Wszystkie poziomy • 25 Wykłady • Dożywotni dostęp
Educational Engineering Team

Sprawdzony Mistrz Instruktor

Create a Facial Recognition Door Lock With Raspberry Pi
PRZYCZEPA
Poznaj swojego instruktora: Educational Engineering Team

19 ms

5.0 / 5.0
Globalna ocena
3 godz. 45 min
Całkowita zawartość

Czego się dowiesz

With this course, you'll be able to create your very own facial recognition door lock with a Raspberry Pi!
You'll learn how to set up the software and hardware, and how to use the facial recognition API to identify faces.
Learn how to create a facial recognition door lock with Raspberry Pi!
You will also learn how to set up the facial recognition system

Treść kursu

10 sekcji • 25 wykłady • 03:45:02 długość całkowita

Introduction

03:21

Setting Up the Required Files and Folders

Bezpłatny podgląd
04:00

Setting Up Python Editor for Coding

Bezpłatny podgląd
06:15

Coding the Face Shots Script OpenCV

12:36

Testing the Face Shot script

08:54
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Wymagania

willingness to learn

camera

Grupa docelowa

This course is designed for people with no experience in programming or electronics

Developers

Hobbyist

Anyone who wants to make a security to them

O tym kursie

Imagine you could walk into your home and the door automatically unlocks without having to fumble for your keys. You can with a facial recognition door lock! In this course, you'll learn how to create one with a Raspberry Pi. First, you'll need to install some software and set up your Pi. Next, you'll create a script that will capture images of your face and compare them to those stored in the lock's database.


Facial-recognition technology is a fascinating field that involves different types of technologies used for face recognition, the applications of face-recognition technology, and the issues that need to be considered when using this technology.


Why you should take this course:



  • Learn how to set up a facial recognition door lock with Raspberry Pi.
  • Discover the capabilities of facial recognition technology.
  • Understand how to use the camera module and OpenCV to detect and recognize faces.
  • Learn about the Raspberry Pi board and its capabilities.
  • Develop a secure and reliable system using both software and hardware.


Course Benefits:



  • Learn about facial-recognition technology and how it works.
  • Gain hands-on experience with Raspberry Pi and OpenCV.
  • Create a practical, real-world project that enhances home security.
  • Designed for beginners with no previous experience in programming or electronics.


Course Outline:



  • Introduction to Facial Recognition Technology
  • Setting Up Raspberry Pi
  • Installing and Configuring Software
  • Using Camera Module for Face Detection
  • Creating and Training the Facial Recognition Model
  • Implementing Door Unlock System
  • Testing and Troubleshooting
  • Security Considerations and Best Practices


Sign Up Now! and enhance your home security with a facial recognition door lock.


About the Instructor: Educational Engineering Team


The Educational Engineering Team is a leading team in the Microcontroller Industry, with over 13 years of experience in teaching and practical projects. We strive to share our hands-on experience in these courses, providing step-by-step blueprints on taming both simple and complex topics in easy-to-digest bite-sized videos.


Ashraf:



  • Educator, Mechatronics engineer, electronics and programming hobbyist, and Maker.
  • Creator of online video courses on the EduEng YouTube Channel with over 4 million views and 20k+ subscribers.
  • Author of four Microcontroller books.
  • Founder and Chief Educational Engineer at Educational Engineering Team.
  • Passionate about exploring new trends and technology, and helping educate the world.


Our online courses have helped over 250,000 people worldwide to improve their skills and careers in the industry.


Call to Action: Join us and start your journey to creating a secure facial recognition door lock today! Enroll now and enhance your home security.


FAQ:

What is this course about?



  • This course covers the essential steps and knowledge needed to create a facial recognition door lock using Raspberry Pi.


Do I need prior experience to take this course?



  • No prior experience is needed; this course is designed for beginners.


What will I learn in this course?



  • You will learn about facial recognition technology, Raspberry Pi setup, and implementing a secure door lock system.
Możliwości Kariery i Stanowiska Docelowe

Zdobądź praktyczne umiejętności i kwalifikuj się na kluczowe stanowiska na świecie

Program Gotowy do Pracy
Stanowiska, na które możesz aplikować

Embedded Systems Engineer

IoT Firmware Developer

Hardware Prototyping Specialist

PCB & Circuit Layout Designer

Szacowane Wynagrodzenie Roczne
$85,000 – $135,000 / yr
Globalne Zapotrzebowanie Rynkowe

Top 5% Growing Engineering Segment

Kluczowe Umiejętności, które Zdobędziesz
Microcontroller Architecture
Hardware-Software Integration
Sensor Protocols (I2C, SPI, UART)
Schematic & Circuit Diagnostics
* Szacunki oparte na globalnych raportach płacowych branży technologicznej.
Poznaj swojego instruktora
Educational Engineering Team
5.0 Ocena
95 Studenci
Plan osobisty Lucebra
Educational Engineering Team
Główny Instruktor
Educational Engineering Team is a Leading Team in Microcontroller Industry, with over 13 Years of Experience in Teaching and Doing Practical Projects.

Educational Engineering Team is a group of skilled engineers dedicated to sharing practical knowledge with learners worldwide. Founded by Ashraf Said Al-Madhoun, the team has worked in programming, microcontrollers, electronics, and engineering education since 2007.

Rather than offering superficial explanations, the team breaks down complex topics into clear, step-by-step lessons supported by practical projects and bite-sized videos. This hands-on approach helps learners understand technical concepts and apply them directly to their studies, careers, and personal projects.

Ashraf is a Mechatronics Engineer, educator, author, electronics and programming enthusiast, and maker. As Chief Educational Engineer, he specializes in explaining challenging concepts in a simple, structured, and accessible way. He has extensive teaching experience and has authored four books about microcontrollers.

Educational Engineering Team has created more than 100 online courses covering circuit design, electronics simulation, PCB fabrication, Arduino, PIC microcontrollers, Raspberry Pi, C, Python, PLC programming, industrial automation, 3D design, ESP boards, embedded systems, and the Internet of Things.

In addition to producing courses, bootcamps, articles, and tutorials, the team supports electronics and programming enthusiasts, STEM students, educators, and aspiring engineers. Its members also provide engineering consultation and guidance for student graduation projects, helping learners develop practical skills and prepare for careers in the technology industry.

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