Face Recognition Door Lock System Using Raspberry Pi Pdf

The project will consist of three phases.

Face recognition door lock system using raspberry pi pdf.

The advantage of installing this system on portable raspberry pi is that you can install it anywhere to work it as surveillance system. In the existing system we are using password based door lock system which makes the user memorize password all the time. The operating system used for raspberry pi is raspbian as it is open source anyone can use. Face recognition system consists of face detection and face localization using haar.

Like all face recognition systems the tutorial will involve two python scripts one is a trainer program which will analyze a set of photos of a particular person and create a dataset yml file. An embedded face recognition system based on the raspberry pi single board computer is proposed in this paper. In this tutorial you are going to learn how to build a facial recognition based door lock using a raspberry pi. Face recognition technology has improved drastically in the past decade and now it is primarily used for surveillance and security purpose.

Before diving into the code let s connect the solenoid lock with the raspberry pi. This analysis took lbph local binary. Real time face recognition system using raspberry pi. This project was part of the embedded system design course and uses face recognition to control a servo lock.

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 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. In today s tutorial we will learn how to build the face recognition door lock system using raspberry pi this project consists of three phases.

Door security using face d etection and raspberry pi venkatesh bhutra 1 a harshav kum ar 2 b santosh jangid 3c and l solanki 4d 1 student department of electronics and communication bkbiet. The authors of 9 proposed a face recognition security system using raspberry pi which can be connected to the smart home system. Face detection and data gathering.