Face Recognition Door Lock System Using Arduino

In this tutorial you are going to learn how to build a facial recognition based door lock using a raspberry pi.

Face recognition door lock system using arduino.

In the existing system we are using password based door lock system which makes the user memorize password all the time. Lock closed as the face does not matched. An alexa enabled door lock with face recognition and remote control. This will signal the arduino to lock the door.

The project will consist of three phases. This will signal the arduino to unlock the door. 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. Block diagram of the system.

Face recognition technology has improved drastically in the past decade and now it is primarily used for surveillance and security purpose. 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. We ll discuss the arduino code and circuit design later in this. I hope you like this smart home project using esp32 cam board.

Before diving into the code let s connect the solenoid lock with the raspberry pi. Face detection and data gathering. The level of security can be raised by using face detection. Block diagram of secured room access system controlling unit door lock door lock.

So to overcome this drawback we designing a new system with face recognition. The following block diagram can helps for better understanding. Similarly for unlocking we ll write low value to d0 and high value to d3. In today s tutorial we will learn how to build the face recognition door lock system using raspberry pi this project consists of three phases.

If the face does not match with the enrolled face the door will remain lock as you can see in the above picture. Raspberry pi receives this command and sends to arduino using serial port. The proposed face recognition door lock security system has been developed to prevent robbery in highly secure areas like home environment with lesser power consumption and more reliable standalone security device for both intruder detection and for door security. For locking we use the digitalmultiwrite method from library to write high value to d0 and low value to d3.