This project is based on a microsoft facial recognition door lock project.
Face recognition based door lock system using raspberry pi.
This is an intermediate level tutorial.
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.
Using embedded soc platforms like the raspberry pi and open source computer vision libraries like opencv you can now add face recognition to your own maker.
This system is powered by raspberry pi circuit.
The operating system used for raspberry pi is raspbian as it is open source anyone can use.
Here a solenoid lock and a pi camera will be used with raspberry pi to build this face recognition based door lock system using raspberry pi 3.
Block diagram of secured room access system controlling unit door lock door lock.
Overview of face recognition based door lock using raspberry pi b opencv face recognition is an amazing field of computer vision with many possible applications to hardware and devices.
If not i recommend setting up your raspberry pi and completing some beginning level projects before attempting this one.
Circuit diagram of the face recognition system using raspberry pi.
Face images are captured through raspberry pi camera and stored in a database in 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.
The project will consist of three phases.
The authors of 9 proposed a face recognition security system using raspberry pi which can be connected to the smart home system.
The image of your face will get stored in the database.
Raspbian is a linux based.
In the existing system we are using password based door lock system which makes the user memorize password all the time.
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.
Eigenface was used the feature extraction while principal.
So to overcome this drawback we designing a new system with face recognition.
Face detection and data gathering.
In this tutorial you are going to learn how to build a facial recognition based door lock using a raspberry pi.
