Face Recognition Door Lock System Using Raspberry Pi Code

In this tutorial you are going to learn how to build a facial recognition based door lock using a raspberry pi.

Face recognition door lock system using raspberry pi code.

To capture your face image place yourself in front of the pi camera and press pushbutton switch s1. 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. Use the below command to install the dlib. Raspberry pi opencv python face recognition lock introduction.

The purpose of this tutorial is show how to add facial recognition to raspberry pi projects. Face detection and data gathering. Circuit diagram of the face recognition system using raspberry pi. This project was part of the embedded system design course and uses face recognition to control a servo lock.

Raspbian is a linux based. This system is used door lock access for residential and commercial purposes. The operating system used for raspberry pi is raspbian as it is open source anyone can use. Here we have designed a highly secured door locking system by using raspberry pi 10.

Before beginning the program for face recognition door lock system using raspberry pi let s install the required packages. 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. This system is powered by raspberry pi circuit. The project will consist of three phases.

This design of a facial recognition door lock should not be implemented to protect and lock anything of value or a home. The image of your face will get stored in the database. In this paper we proposed a face recognition security system using raspberry pi which can be connected to the smart home system. Before diving into the code let s connect the solenoid lock with the raspberry pi.

Dlib is the modern toolkit that contains machine learning algorithms and tools for real world problems. The face recognition has been done using the eigenfaces algorithm principle component analysis or pca and implemented using the python api of opencv. Face images are captured through raspberry pi camera and stored in a database in raspberry pi. Eigenface was used the feature extraction while principal.