This project turns on the door lock automatically when recognized a known face. I have also used Blynk app to show who have entered the door.
This project is Based on Iot, Serial Communication and Face Recognition.
Before you do anything just copy and paste the code in pycharm and save it. Then please select the pictures of the people you want to give access and paste it to the Python Project File.
Make sure that your NodeMcu is setup.
get the com of the nodemcu and uploading speed and write it somewhere
if you need help these are my contacts:
Insta: www.instagram.com/rakin.anwar.28/
mail: rakinanwar2862@gmail.com
EXPANDED TECHNICAL DETAILS
Computer Vision Security Integration
This project combines high-level AI face detection with local Arduino-controlled hardware for a keyless entry system.
- Edge-to-MCU Bridge: An external camera (or smartphone) runs a face-recognition script (often in Python/OpenCV). Once a "Match" is confirmed, the script sends an authorization signal to the Arduino via the Blynk IoT cloud.
- Physical Lock Actuation: Upon receiving the "Authorized" signal, the Arduino triggers a 12V Solenoid Deadbolt via a relay or high-current MOSFET.
Interaction Design
- Real-Time Notifications: Sends a push notification to the owner's phone via Blynk, including the name of the recognized person or an "Intruder Alert" if an unknown face is detected at the door.