Raspberry Pi Projects: Facial Recognition Door Lock
Create a face recognition door lock using Raspberry Pi and AWS Rekognition. This project covers image capture, facial recognition, and secure electronic door control, offering a practical IoT security solution powered by Python and Raspberry Pi.
Last update: June 2022
Focus: IoT Programming Courses, Python Courses, Programming Courses
Audio Language: English
Subtitles/Captions: Yes
Type of Training: Online, self-paced
Caption Language: English
What You’ll Learn
This Raspberry Pi projects course will teach you:
- Raspberry Pi Integration: Set up and configure Raspberry Pi for IoT security projects.
- Camera Setup: Connect and utilize the Raspberry Pi camera for image capture.
- Push Button/Bell Press: Add manual triggers for image capture and access requests.
- Voice Integration: Add voice functionality to the smart door lock for user interaction.
- AWS Rekognition Service: Learn to use AWS for accurate, cloud-based facial recognition.
- Electronic Door Control: Implement relays to manage secure door locking.
- Motion Sensor Door Lock: Incorporate motion detection to enhance door lock security.
Included in the Raspberry Pi Projects
2 Hours of On-Demand Video
1 Downloadable Resources
Access on Mobile
Certificate of Completion
Suitable for the Following Careers
IoT Developer
Embedded Systems Developer
Security Engineer
Python Developer
Smart Home Innovator
Course Content
Description of TrainingRaspberry Pi
Face Recognition Door Lock
Door Lock Setup
Audio Version of the Training
OPEN FULL CURRICULUM
Requirements
A Raspberry Pi setup (model, camera, etc.) and an AWS account are recommended for hands-on practice.
No prior experience is needed.
Description of Raspberry Pi Projects Training
This course will guide you in building a facial recognition door lock using Raspberry Pi and AWS Rekognition. You'll learn to set up Raspberry Pi, configure AWS Rekognition for facial detection, and control an electronic lock via Python. The project is designed to be efficient, secure, and compact, making it suitable for real-world applications.
You'll gain hands-on experience in image processing, IoT security, and using cloud-based recognition services. By the end, you’ll have created a functional, face-controlled smart lock system. This includes:
- Setting up Raspberry Pi with AWS Rekognition
- Configuring image capture and facial recognition
- Managing electronic door control via relay
- Adding push-button triggers and motion detection
- Enhancing security with email alerts for unrecognized faces
Enroll today to explore IoT-based security systems and Raspberry Pi projects!
Who is This Course For
This course is for IoT enthusiasts, security hobbyists, and anyone interested in building smart home projects. It’s also ideal for beginners curious about facial recognition, Raspberry Pi projects, or AWS cloud services.
Course Instructor
Arbaz Khan
Arbaz Khan is a Computer Science Engineer with expertise in IoT, Python, Data Science, and new technologies. Proficient in C, C++, and Java, Arbaz has a passion for automating tasks using Python, particularly in home automation. He runs his own startup, GetSetCode, which focuses on innovative real-time projects involving AI, ML, IoT, Automation, and Robotics.
As an educator, Arbaz has taught various courses covering advanced AI assistants, generative AI applications, practical Python projects, web development, and artistic skill enhancement.
His teaching emphasizes practical, real-world applications, helping students build intelligent systems and master emerging technologies. Arbaz's dedication to education and innovation makes him a valuable resource for anyone looking to advance in the field of computer science and engineering.
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Testimonials
Bruce C.
Fun project. I learned a lot!
Suzanne K.
Great to see what a Raspberry Pi is capable of. Thank you Arbaz!
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Frequently Asked Questions
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