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.

Face recognition door lock using raspberry pi.

This project was part of the embedded system design course and uses face recognition to control a servo lock. 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. If the visitor at the door is recognized the door will unlock. We put up with this project face recognition door lock system.

Raspberry pi opencv python face recognition lock introduction. In this tutorial you are going to learn how to build a facial recognition based door lock using a 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. In that window enter the id number and press enter.

The following steps will show you how to setup face recognition on pi. Testing the raspberry pi face recognition door lock. This project utilizes a raspberry pi basic webcam and an internet connection to create a door that unlocks itself via facial recognition. The project will consist of three phases.

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. When you run this program a window will pop up. Face detection and data gathering.

Run the dataset program to gather the face samples. Before diving into the code let s connect the solenoid lock with the raspberry pi. A very simple hack of holding a photo of a whitelisted user up to the camera will unlock the door. Either an external monitor or any virtual monitor like vnc viewer will be needed to execute these python codes.

Facial recognition is a well established process in which the face is detected and identified out of the image. We aim to create a smart door which secures the gateway on the basis of who we are. The face recognition has been done using the eigenfaces algorithm principle component analysis or pca and implemented using the python api of opencv.