Face Recognition Door Lock System Using Raspberry Pi

Circuit diagram for face recognition door lock using raspberry pi is given below.

Face recognition door lock system using raspberry pi.

Connect the vcc and gnd of the relay module to 5v and gnd of raspberry pi. 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 face is not registered it will raise an alarm and clicks a picture and send it on the registered number. This is how the system works. Eigenface was used the feature extraction while principal.

Open with github desktop. This system is powered by raspberry pi circuit. In this paper we proposed a face recognition security system using raspberry pi which can be connected to the smart home system. Here we have designed a highly secured door locking system by using raspberry pi 10.

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 recognition door lock system using raspberry pi components required. Here opencv library is used to detect and recognize faces. On the other side of the relay module connect the negative form dc power source to the negative of the solenoid door lock.

This design of a facial recognition door lock should not be implemented to protect and lock anything of value or a home. Then face detection and recognition are performed. Then connect the signal pin of the relay module to the gpio 26 of raspberry pi. 1 branch 0 tags.

A very simple hack of holding a photo of a whitelisted user up to the camera will unlock the door. The purpose of this tutorial is show how to add facial recognition to raspberry pi projects. Face recognition to control servo lock using raspberry pi and opencv. This system is used door lock access for residential and commercial purposes.

Installing opencv in raspberry pi 3. Because of this we will need to use an external power source and relay to operate the lock. For face recognition an image will be captured by a pi camera and pre processed by raspberry pi like converting re sizing and cropping. Once the face is recognized by the classifier based on a pre stored image library the image will be sent to a.