Face Recognition Door Lock System Using Arduino

In this way we can enroll multiple faces.

Face recognition door lock system using arduino.

Similarly for unlocking we ll write low value to d0 and high value to d3. Before diving into the code let s connect the solenoid lock with the raspberry pi. No physical interaction. 3 click on enroll face.

Block diagram of secured room access system controlling unit door lock door lock. This will signal the arduino to lock the 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. There are many identification systems but face recognition is now a days more preferred.

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. Arduino control the lock accordingly. An alexa enabled door lock with face recognition and remote control. 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.

In the existing system we are using password based door lock system which makes the user memorize password all the time. Finally esp32 cam face recognition lock is ready. Face detection and data gathering. What is face recognition system.

Prepare your raspberry pi with latest raspbian operating system and get ready to do some programming. Like security purposes as of door unlocking attendance system face lock for mobile devices. It s not that expensive to install implement. This will signal the arduino to unlock the door.

4 then esp32cam will take some sample pictures of the face. Raspberry pi receives this command and sends to arduino using serial port. 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. 5 at last a green box will appear around the face.

The project will consist of three phases. For locking we use the digitalmultiwrite method from library to write high value to d0 and low value to d3. So to overcome this drawback we designing a new system with face recognition. 2 turn on face detection and face recognition.

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. We ll discuss the arduino code and circuit design later in this.