Face Recognition Door Lock System Using Arduino

The project will consist of three phases.
Face recognition door lock system using arduino. Prepare your raspberry pi with latest raspbian operating system and get ready to do some programming. Raspberry pi receives this command and sends to arduino using serial port. This will signal the arduino to unlock the door. Block diagram of secured room access system controlling unit door lock door lock.
Before diving into the code let s connect the solenoid lock with the raspberry pi. When you run keylemon for the first time the face model wizard will show up and you l need to create your face model then procede and when you r finished the keylemon control center will show up there you can change your face model and under tab webcam you must uncheck stop using webcam after 60 seconds of inactivity and click apply step 3 is windows application task scheduler located in. We ll discuss the arduino code and circuit design later in this. It s not that expensive to install implement.
In this way we can enroll multiple faces. There are many identification systems but face recognition is now a days more preferred. Arduino control the lock accordingly. In the existing system we are using password based door lock system which makes the user memorize password all the time.
2 turn on face detection and face recognition. Face detection and data gathering. In this project i will show you how you can create a facial recognition system by building an ip surveillance cctv with the esp32 cam module. So to overcome this drawback we designing a new system with face recognition.
This will signal the arduino to lock the door. Camera installed at the main door is used to click 5 consecutive photos of the person standing in front of the door as he she presses a button present on the main door. Finally it analyses the detected human face and compare it with images from the database which is achieved by using some features like the distance between the eyes etc. An alexa enabled door lock with face recognition and remote control.
The esp32 cam can host a video streaming web server over wi fi with very good fps frames per second which we can access with any device from our network. What is face recognition system. And if it matches the program passes the control over to the microcontroller here the microcontroller used is arduino which in turn opens the door. No physical interaction.
The images thus captured is processed by the python facial recognition software which then detects any known faces in the picture and unlocks the door for the people whose faces are identified successfully. Finally esp32 cam face recognition lock is ready. 3 click on enroll face. 4 then esp32cam will take some sample pictures of the face.
In this tutorial you are going to learn how to build a facial recognition based door lock using a raspberry pi. Similarly for unlocking we ll write low value to d0 and high value to d3.