Face Recognition Door Lock Using Raspberry Pi

We aim to create a smart door which secures the gateway on the basis of who we are.

Face recognition door lock using raspberry pi.

Thanks for adam geitgey and his face recognition project we can use the world s simplest face recognition library on raspberry pi. Raspberry pi electronic board is operated on battery power supply wireless internet connectivity by using usb modem it includes camera pir motion sensor and a door. Screen can be connected to raspberry pi via a hdmi cable don t forget connect power to your screen and pi. Before diving into the code let s connect the solenoid lock with the raspberry pi.

With the introduction of microsoft s project oxford facial recognition applications are now more accessible to makers than ever before. Whenever the person comes in front of the door it recognizes the face and if it is registered then it unlocks the door if the face is not registered it will raise an alarm and. When you run this program a window will pop up. A very simple hack of holding a photo of a whitelisted user up to the camera will unlock the door.

This project utilizes a raspberry pi basic webcam and an internet connection to create a door that unlocks itself via facial recognition. Face detection and data gathering. Testing the raspberry pi face recognition door lock. If the visitor at the door is recognized the door will unlock.

Either an external monitor or any virtual monitor like vnc viewer will be needed to execute these python codes. Raspberry pi opencv python face recognition lock introduction. We want to develop this system based on raspberry pi 3 to make the house only. Run the dataset program to gather the face samples.

The purpose of this tutorial is show how to add facial recognition to raspberry pi projects. We put up with this project face recognition door lock system. Facial recognition is a well established process in which the face is detected and identified out of the image. The following steps will show you how to setup face recognition on pi.

In that window enter the id number and press enter. The face recognition has been done using the eigenfaces algorithm principle component analysis or pca and implemented using the python api of opencv. The project will consist of three phases.