CSEIT2063135 | Accepted : 01 June 2020 | Published : 05 June 2020 | May-June-2020 [ 6 (3) : 543-548 ] International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2020 IJSRCSEIT | Volume 6 | Issue 3 | ISSN : 2456-3307 DOI : https://doi.org/10.32628/CSEIT2063135 543 Smart Door Lock/Unlock Using Raspberry Pi Sandesh R 1 , Avinash Sridhar 2 , Rishikesh T P 2 , Saniya Farheen 2 , Sara Tameem 2 1 Assistant Professor Department of ISE, VVIET, Mysore, Karnataka, India 2 Department of ISE, VVIET, Mysore, Karnataka, India ABSTRACT This paper deals with the proposed system for smart and savvy door lock recognition system which is essentially for identification of human faces and mainly for home security. This is divided into two sub systems. First is image capturing, then comes face detection and recognition and finally automatic door access management. Open CV is mainly used for Face Recognition because it uses Eigen faces which compares the face images and produces it without losing vital face features, facial images of various persons are going to be stored in database. The purpose of the paper is to take face recognition to height which can replace the use of standard passwords, pins and patterns, adding more security to our life. The process carried out by raspberry pi is fast and makes the system work smoother. Keywords : Face recognition, Face detection, Raspberry pi, OpenCv, Eigen faces. I. INTRODUCTION Now each day accurate and faster user identification and authentication method is required. As of facial recognition approach, the detected face will be compared with the faces stored in the database, in this way we can identify the given face. If the face matches with database, without any restrictions the door will be opened. Epigram here is that the software should find the faces in the database by highest similarity. Face recognition technology mainly runs on identifying or recognizing the human faces. So that is what is been used here. The process of detection of certain face features and usage of these features are called as templates. So these templates will be compared in order to detect a face. For this project we extrapolate Raspberry pi, Solenoid lock, External dc power source, Relay module, Raspberry pi camera. Face recognition has been a decisive element for researchers due to various human activities found in applications of security like criminal detection, forensic, face tracking, airport etc. Compared to other biometric traits like finger print, Iris, finger, palm etc., face bio metrics can be non-intrusive. They can be taken even without user’s knowledge and further can be used for many security applications. Also Face authentication has fascinating approach that other approaches lack: facial images can be captured from a distance, any special actions are not always required for authentication, and crimes can be reduced because the captured images can be recorded and shown as proof. II. LITERATURE SURVEY In the paper, a “Smart Door Access Using Facial Recognition” as Face recognition technology emulates the capabilities of human eyes to detect. So