Build a Face Recognition Door Lock with Raspberry Pi
Learn to build a functional smart door lock using Raspberry Pi, Python, and AWS face recognition technology. Perfect for students and makers wanting to combine IoT hardware, cloud services, and AI into a real-world project.
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What you'll learn— skills you'll gain
- Connect and configure Raspberry Pi hardware components including CSI cameras, PIR motion sensors, and servo motors
- Set up AWS account, S3 buckets, IAM users, and configure AWS Rekognition service for cloud-based facial recognition
- Write Python code to integrate Boto3 SDK for AWS service communication and face detection workflows
- Implement motion detection logic to trigger face recognition only when users approach the door
- Train AWS Rekognition collections with authorized user images and build matching algorithms
- Create end-to-end automation that captures faces, compares against authorized database, and controls door lock mechanisms
- Deploy and troubleshoot a complete IoT system with hardware, cloud services, and custom Python logic
- Extend the project with additional features like text-to-speech notifications and system logging
Course content
VIDEO file: 1 Intro.mp4
VIDEO file: 1.1 Promo.mp4
VIDEO file: 1.2 Learn To Create Face Recognition Door Lock.mp4
VIDEO file: 2 Components.mp4
VIDEO file: 3.1 Create Aws.mp4
VIDEO file: 3.2 AWS Setup.mp4
VIDEO file: 4.1 Rpi Vscode.mp4
VIDEO file: 4.2 Camera.mp4
VIDEO file: 5.1 Indexfaces.mp4
VIDEO file: 5.1 Open door.mp4
VIDEO file: 5.2 Recognition.mp4
VIDEO file: 5.3 Open door.mp4
VIDEO file: 6.1 Face Recognition LED.mp4
VIDEO file: 6.2 Door Lock With Relay.mp4
VIDEO file: 6.3 Push Button Bell Press.mp4
VIDEO file: 6.4 Motion Sensor Door Lock.mp4
VIDEO file: 6.5 Adding Voice To Door Lock.mp4
- +Basic Python programming (variables, functions, loops)
- +Familiarity with Raspberry Pi setup and GPIO basics
- +Understanding of AWS cloud services and API integration
- +Knowledge of hardware components (LEDs, breadboards, sensors)
About this course
Learn to build a fully functional face recognition door lock system from scratch using Raspberry Pi, Python, and Amazon Web Services. This hands-on course guides you through every step: setting up your Raspberry Pi, connecting hardware components like cameras and motion sensors, integrating AWS Rekognition for accurate facial recognition, and writing Python code to orchestrate the entire system. You'll create a real-world IoT project that can serve as a portfolio piece, final year project, or home automation enhancement. The course uses AWS's cloud-based face recognition service instead of traditional OpenCV, ensuring superior accuracy and reliability. By the end, you'll have a working smart door lock that greets visitors, recognizes authorized users, and automatically unlocks the door using facial biometrics. Perfect for students, makers, and tech enthusiasts who want to combine hardware programming, cloud services, and AI into a practical, deployable application.
Meet your instructor
AI Agents & GenAI Mentor | AI Coach to 300K+ | Founder @GetSetCode | Ex-OpenAI UC Dev
Hello, I am Arbaz Khan, a Computer Science Engineer. I have experience in IoT, Python, Data Science, and learning New Technologies. Also, I am good at C, C++, JAVA. I love to Automate things like Home Automation and other tasks using Python Programming Language. I'm also running my own startup named GetSetCode were We are working on innovative real-time projects related to AI, ML, IOT, Automation, and Robotics.