Face Recognition Door Lock System Using Raspberry Pi Github

A very simple hack of holding a photo of a whitelisted user up to the camera will unlock the door.

Face recognition door lock system using raspberry pi github.

Due to this a 12v adapter is used to power the solenoid lock. This project utilizes a raspberry pi basic webcam and an internet connection to create a door that unlocks itself via facial recognition. It can be unlocked over a wifi connection using a smartphone and a custom app. The gpio pins of the raspberry pi can give an output of 3 3v but the solenoid lock requires 7 12v to operate.

If the visitor at the door is recognized the door will unlock. Face recognition facial recognition is a category of biometric software which identifies people by their faces. The following steps will show you how to setup face recognition on pi. What is face recognition.

Solenoid lock requires 9 to 12v and raspberry pi can provide only 5v. Circuit diagram for face recognition door lock using raspberry pi is given below. Raspberry pi opencv python face recognition lock introduction. Door lock system using facial recognition on the raspberry pi hunterjohnson facedoor.

Face recognition door lock with aws rekognition raspberry pi3 it works with rpi3 using the camera module. Raspberry pi and solenoid lock are connected through the relay module. Because of this we will need to use an external power source and relay to operate the lock. This design of a facial recognition door lock should not be implemented to protect and lock anything of value or a home.

You can create an internet connected smart door lock using your raspberry pi 3 single board computer. Connect the vcc and gnd of the relay module to 5v and gnd of raspberry pi. With the introduction of microsoft s project oxford facial recognition applications are now more accessible to makers than ever before. The purpose of this tutorial is show how to add facial recognition to raspberry pi projects.

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