Face Recognition Door Lock System Using Raspberry Pi Github

Because of this we will need to use an external power source and relay to operate the lock.

Face recognition door lock system using raspberry pi github.

The following steps will show you how to setup face recognition on pi. Due to this a 12v adapter is used to power the solenoid lock. If the visitor at the door is recognized the door will unlock. The raspberry pi is slower than a modern laptop or desktop but is still a complete linux computer and can provide all the expected abilities that implies at a low power consumption level.

The purpose of this tutorial is show how to add facial recognition to raspberry pi projects. Connect the vcc and gnd of the relay module to 5v and gnd of raspberry pi. What is face recognition. Screen can be connected to raspberry pi via a hdmi cable don t forget connect power to your screen and pi.

Raspberry pi and solenoid lock are connected through the relay module. It can be unlocked over a wifi connection using a smartphone and a custom app. You can create an internet connected smart door lock using your raspberry pi 3 single board computer. This project utilizes a raspberry pi basic webcam and an internet connection to create a door that unlocks itself via facial recognition.

With the introduction of microsoft s project oxford facial recognition applications are now more accessible to makers than ever before. Door lock system using facial recognition on the raspberry pi hunterjohnson facedoor. Thanks for adam geitgey and his face recognition project we can use the world s simplest face recognition library on raspberry pi. Circuit diagram for face recognition door lock using raspberry pi is given below.

A very simple hack of holding a photo of a whitelisted user up to the camera will unlock the door. Solenoid lock requires 9 to 12v and raspberry pi can provide only 5v. This design of a facial recognition door lock should not be implemented to protect and lock anything of value or a home. Face recognition door lock with aws rekognition raspberry pi3 it works with rpi3 using the camera module.

The face recognition has been done using the eigenfaces algorithm principle component analysis or pca and implemented using the python api of opencv. Raspberry pi opencv python face recognition lock introduction.