Learn To Create Face Recognition Door Lock With Raspberry Pi

Learn how to create an AWS account and set up facial recognition with Amazon Rekognition and S3 for storing users' data, including 5 GB storage and free-tier access.

Set up AWS for face recognition door lock by creating an S3 bucket with per-user folders, uploading images, and issuing an IAM user with S3 and Rekognition access.

Set up a Raspberry Pi, create a face recognition door lock project folder, and install VS Code with Python extension to begin coding.

Connect the csi camera ribbon to the Raspberry Pi, then enable the camera interface in the Raspberry Pi settings via a terminal command, and reboot to complete the setup.

Install boto3, connect to AWS Rekognition, create a collection, and index faces from an S3 bucket to build a faces dataset for Raspberry Pi door lock.

Build a Raspberry Pi face recognition door lock by capturing live images with the camera, comparing them to a Rekognition collection, and authenticating authorized users by similarity and confidence.

Demonstrates a Raspberry Pi face recognition system that unlocks a door for authorized users, trains dataset, and uses green and red LEDs and an LCD to show similarity and confidence.

Wire a Raspberry Pi to a relay module to control a 12-volt solenoid door lock, using GPIO pin four, opening for authorized users and showing green with a 10-second delay.

Attach a push button to a Raspberry Pi to trigger face recognition, unlocking the door for authorized users and signaling alerts for unauthorized attempts using GPIO Zero.

Replace push button with PIR motion sensor on Raspberry Pi to trigger face recognition lock; authorized users open 10 seconds with a green alert, unauthorized shows red.

Connect a Raspberry Pi door lock with a speaker, generate dynamic voice prompts via text-to-speech, and use face recognition to greet authorized users or guide unauthorized ones after motion detection.