Face Recognition Based Door Lock System Using Arduino

Block diagram of secured room access system controlling unit door lock door lock.

Face recognition based door lock system using arduino. Face detection and tracking with arduino and opencv. What is the esp32 cam. The circuit connection of our project is shown below. We will be using the power of rfid to tap into your garage door opening system.

Once we access the video stream from the network we can perform facial recognition. Before diving into the code let s connect the solenoid lock with the raspberry pi. Arduino rfid garage door opener. Face detection and data gathering.

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. We previously used solenoid lock with raspberry pi and also built few projects with pi camera like web controlled raspberry pi surveillance robot iot based smart wi fi doorbell smart cctv. The level of security can be raised by using face detection. When pressed our winforms application should verify face and open door upon successful face authentication.

A buzzer that beeps in the event of a doorbell ring and door lock. Another push button to lock the door. Project tutorial by robotgeek projects team. The module includes an ov2640 camera and several gpios to connect peripherals using an esp32.

So to overcome this drawback we designing a new system with face recognition. Rfid and keypad based door lock using arduino. A push button to act like a calling bell switch. Here a solenoid lock and a pi camera will be used with raspberry pi to build this face recognition based door lock system using raspberry pi 3.

The esp32 cam is a tiny esp32 based chip camera module that only costs about 5 usd. In the existing system we are using password based door lock system which makes the user memorize password all the time. An alexa enabled door lock with face recognition and remote control. The project will consist of three phases.