Face Recognition Based Door Lock System Using Raspberry Pi

Connect the vcc and gnd of the relay module to 5v and gnd of raspberry pi.

Face recognition based door lock system using raspberry pi.

Because of this we will need to use an external power source and relay to operate the lock. I m working in project to co trol the door using face recognition i m using python 3 5 3 and opencv 3 3 0 but i have this problem mean model getmat mean reshape faces 0 shape. Then connect the signal pin of the relay module to the gpio 26 of raspberry pi. Due to this a 12v adapter is used to power the solenoid lock.

The proposed face recognition door lock security system has been developed to prevent robbery in highly secure areas like home environment with lesser power consumption and more reliable standalone security device for both intruder detection and for door security. Solenoid lock requires 9 to 12v and raspberry pi can provide only 5v. 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. Here we have designed a highly secured door locking system by using raspberry pi 10.

Facial recognition as an access point control system with a combination of relay module with a solenoid to open the gate and unique and interactive user interface. In this proposed door access system by using face recognition the images are stored in a data base. Raspberry pi and solenoid lock are connected through the relay module. Face recognition lock and unlock door.

If not i recommend setting up your raspberry pi and completing some beginning level projects before attempting this one. This project is based on a microsoft facial recognition door lock project. Thu apr 18 2019 10 53 pm. This system is used door lock access for residential and commercial purposes.

Circuit diagram for face recognition door lock using raspberry pi is given below. This is an intermediate level tutorial. I am assuming you have set up an operating system os on a raspberry pi. On the other side of the relay module connect the negative form dc power source to the negative of the solenoid door lock.

This system is powered by raspberry pi circuit. Also rather than using a low quality raspberry pi interfaced camera we have used usb attachable hd webcam to do efficient and reliable facial recognition.