Face Recognition Door Lock System Using Raspberry Pi

Like all face recognition systems the tutorial will involve two python scripts one is a trainer program which will analyze a set of photos of a particular person and create a dataset yml file.

Face recognition door lock system using raspberry pi.

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. The purpose of this tutorial is show how to add facial recognition to raspberry pi projects. This system is powered by raspberry pi circuit. Circuit diagram of the face recognition system using raspberry pi.

Before diving into the code let s connect the solenoid lock with the raspberry pi. To capture your face image place yourself in front of the pi camera and press pushbutton switch s1. The image of your face will get stored in the database. Eigenface was used the feature extraction while principal.

Face detection and data gathering. Face recognition technology has improved drastically in the past decade and now it is primarily used for surveillance and security purpose. In this tutorial you are going to learn how to build a facial recognition based door lock using a raspberry pi. The operating system used for raspberry pi is raspbian as it is open source anyone can use.

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. The project will consist of three phases. In today s tutorial we will learn how to build the face recognition door lock system using raspberry pi this project consists of three phases.

A very simple hack of holding a photo of a whitelisted user up to the camera will unlock the door. This design of a facial recognition door lock should not be implemented to protect and lock anything of value or a home. Vijayalakshmi ma srmuniv ac in srm institute of science and abstract. 4 1 raspberry pi raspberry pi rp is an arm based single the third generation raspberry pi 3 it has broadcom bcm2837 64bit arm cortex a53 quad core processor soc running at 1 2ghz and 1gb ram.

The authors of 9 proposed a face recognition security system using raspberry pi which can be connected to the smart home system. The advantage of installing this system on portable raspberry pi is that you can install it anywhere to work it as surveillance system. Raspbian is a linux based.