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3.65
14 reviews

Create a Facial Recognition Door Lock With Raspberry Pi

Learn how to use the camera module and OpenCV to detect and recognize faces and turn this into door unlock system
605 Students enrolled
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Introduction:

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.

How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
3.65
14 reviews
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Course details
Video 3 hours
Lectures 4
Certificate of Completion

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