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.
Face recognition door lock system using raspberry pi.
The face recognition has been done using the eigenfaces algorithm principle component analysis or pca and implemented using the python api of opencv.
Raspbian is a linux based.
You can also add intelligent lighting a controllable door lock and facial recognition all powered with your raspberry pi.
We previously used solenoid lock with raspberry pi and also built few projects with pi camera like web controlled raspberry pi surveillance robot iot based smart wi fi doorbell smart cctv.
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.
It takes a photo of the person trying to enter the door and provides voice feedback with personal greetings after successful identification.
Face detection and data gathering.
Before diving into the code let s connect the solenoid lock with the raspberry pi.
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.
Raspberry pi opencv python face recognition lock introduction.
The hardware consists of a raspberry pi 3 with a raspberry camera module and a usb speaker.
So let s ignore super expensive door systems and build our own.
The project will consist of three phases.
This is the only visible component the unit that the user is interacting with.
The purpose of this tutorial is show how to add facial recognition to raspberry pi projects.
Three way door lock security system raspberry pi opencv unlocks the door with three highly secured combinations which are facial recognition fingerprint and password.
The operating system used for raspberry pi is raspbian as it is open source anyone can use.
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 project was part of the embedded system design course and uses face recognition to control a servo lock.
Vijayalakshmi ma srmuniv ac in srm institute of science and abstract.
System overview main unit.
A very simple hack of holding a photo of a whitelisted user up to the camera will unlock the door.
In this tutorial you are going to learn how to build a facial recognition based door lock using a raspberry pi.
