Face Recognition Door Lock System Using Raspberry Pi

The operating system used for raspberry pi is raspbian as it is open source anyone can use.

Face recognition door lock system 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. 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.

Raspberry pi opencv python face recognition lock introduction. Circuit diagram of the face recognition system using raspberry pi. The project will consist of three phases. The image of your face will get stored in the database.

Eigenface was used the feature extraction while principal. Vijayalakshmi ma srmuniv ac in srm institute of science and abstract. 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 detection and data gathering.

Raspbian is a linux based. The face recognition has been done using the eigenfaces algorithm principle component analysis or pca and implemented using the python api of opencv. The advantage of installing this system on portable raspberry pi is that you can install it anywhere to work it as surveillance system. 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.

Face images are captured through raspberry pi camera and stored in a database in raspberry pi. In this tutorial you are going to learn how to build a facial recognition based door lock using a raspberry pi. 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. To capture your face image place yourself in front of the pi camera and press pushbutton switch s1.

The authors of 9 proposed a face recognition security system using raspberry pi which can be connected to the smart home system. Face recognition technology has improved drastically in the past decade and now it is primarily used for surveillance and security purpose. This system is powered by raspberry pi circuit.