Because of this we will need to use an external power source and relay to operate the lock.
Face recognition door lock system using raspberry pi ppt.
Face recognition system consists of face detection and face localization using haar.
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 authors of 9 proposed a face recognition security system using raspberry pi which can be connected to the smart home system.
The purpose of this tutorial is show how to add facial recognition to raspberry pi projects.
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.
Connect the vcc and gnd of the relay module to 5v and gnd of raspberry pi.
The following steps will show you how to setup face recognition on pi.
A very simple hack of holding a photo of a whitelisted user up to the camera will unlock the door.
This system is powered by raspberry pi circuit.
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 gpio pins of the raspberry pi can give an output of 3 3v but the solenoid lock requires 7 12v to operate.
An embedded face recognition system based on the raspberry pi single board computer is proposed in this paper.
Eigenface was used the feature extraction while principal.
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.
Thanks for adam geitgey and his face recognition project we can use the world s simplest face recognition library on raspberry pi.
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.
Screen can be connected to raspberry pi via a hdmi cable don t forget connect power to your screen and pi.