Physiological Traits (Face Recognition) Based Door Lock

IRJET, 2023

Security is the primary problem that must be dealt with in the current society. With the recent progress in emerging technologies, IoT stands out as a cutting-edge technology capable of resolving a wide range of securityrelated issues. This paper deals with the proposed system for a sophisticated and knowledgeable door that unlocks automatically when a registered face is recognized. The faces in the dataset are first detected using the hog model and then the detected faces are encoded using OpenCV libraries. Whereas, the Haar Cascade classifier is used for real-time facial detection. The objective of this project is to replace traditional passwords and patterns and add more security to the lives of people. This process is carried out by the raspberry pi3B because it has low processing time.

IRJET, 2022

This project aims to present a security door lock system based on Raspberry pi technology which is used to provide an alarm system that can notify the owner, as well as, recognize guests. In this, the authorized individuals are the only ones who will be permitted to access the doors. The system works by taking snaps for the guest through a code and camera pi positioned in the doors then, a notification will be sent to the owner. Face recognition has ample possible applications to hardware and devices. Using embedded platforms like the Raspberry Pi and open-source computer vision libraries like Open CV, we can now add face recognition to make projects. In this project, we will be building a system that unlocks itself using face recognition which runs on a Raspberry Pi 3B. The system identifies and differentiates between the owner and stranger using face recognition and acts accordingly. In this system, it interacts with the stranger at the door in case the owner is not present at home and notifies the owner via email regarding the activity taking place at the door.

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

In this paper we've proposed face recognition door cinch system using jeer pi for security purpose. Perpetration of the system is for covering whether any unknown person is entering in to the door. In order to get accurate and clear picture of an meddler we've proposed Haar Cascade system for face discovery. As soon as the person enters near the door, pi camera captures the image and face discovery process is done also if it matches with database images also the door is uncorked else a communication with the picture of a person will be transferred to the registered mobile through LAN network. The main aphorism of this design is to application of detector with the combination of bedded outfit for the door opening systems. The main purpose of this system is to give better security by using face recognition fashion.

International Journal of Computer Applications, 2017

This paper deals with the idea of secure locking automation utilizing IOT for door unlocking system to provide essential security to our homes, bank lockers and related control operations and security caution through the GSM module .It uses an image capturing technique in an embedded system based on raspberry pi server system. RPi (Raspberry pi) controls the video camera for catching it for turning on a relay for door unlocking. The module contains a secured face recognizer for automatic door unlocking. The camera catches the facial picture and compares it with the image which is stored in the database .If the picture is found in the database then the door lock opens otherwise it will produce a SMS that an unknown person is trying to gain access.

International Journal of Computer Applications Technology and Research

Most doors are controlled by persons using keys, security cards, passwords, or patterns to open the door. This paper aims to help users improve the door security of sensitive locations by using face detection and Recognition. The face is a complex multidimensional structure and needs good computing techniques for detection and Recognition. This paper comprises three subsystems: face detection, face Recognition and automatic door access control. Face detection is the process of detecting the region of the face in an image. The look is seen using the viola jones method, and face recognition is implemented using the Principal Component Analysis (PCA). Face Recognition based on PCA is generally referred to as the use of Eigenfaces. If a face is recognized, it is known, else it is unknown. The door will open automatically for the known person due to the command of the microcontroller. On the other hand, the alarm will ring for the unknown person. Since PCA reduces the dimensions of face ...

2019

Security is an important part of everyday life. The main aim of the system is to develop a secured door lock system. The system consists of three sections. The first section is the face recognition system that is based on Haar like features detection method and Local Binary Pattern LBP recognition algorithm. The second section is the password security system. And the last section is the alert system through GSM module. The system is composed by the combination of face recognition security system, password security system and the alert system through the GSM module. In this system, the iteration used in face recognition system is reduced by using Local Binary Pattern LBP algorithm. In saving time, the processing time of this system, therefore, is better than that of the normal system. Soe Sandar | Saw Aung Nyein Oo "Development of a Secured Door Lock System Based on Face Recognition using Raspberry Pi and GSM Module" Published in International Journal of Trend in Scientific...

2019

Smart Door Lock Major Qualifying Project The goals of this project were to build a modern, easy-to-use, smart door lock that allows for accessible unlocking and adds convenience, utility, and security to your home. It allows users to open their door remotely via the accompanying Smart Lock mobile app, or hands-free by using face recognition via a camera mounted on the door. The system was made up of three major components, including a cloud back-end, an on-board logical unit, and a mobile application.

IRJCS:: AM Publications,India, 2024

To ensure the accuracy and efficiency of intruder identification, the proposed method is combined with Haar classifier technology for face detection. When someone comes to the door, the Pi camera captures the image and starts the face detection process. In this research, we implement a facial recognition component to capture human images, comparing them with stored data in a database. Upon a match with an authorized individual, the system unlocks the door through an electromagnetic lock. The demand for a rapid and accurate face recognition system persists, continuously evolving to swiftly identify intruders and restrict unauthorized access to highly secure areas, thereby reducing human error. Facial recognition stands as a crucial component within secure systems, surpassing biometric pattern recognition methods, and finds widespread application across various domains.

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

In recent years, it is important to own a reliable security system that can secure our assets as well as to protect our privacy. The traditional security system needs an individual to use a key, identification (ID) card or password to access an area such as home and workplace. However, the present security system has many weaknesses wherever it is simply cast and taken. Most doors are controlled by persons with the employment of keys, security cards, countersign or pattern to open the door. The aim of this paper is to assist users for improvement of the door security of sensitive locations by using face detection and recognition. The proposed system mainly consists of subsystems namely image capture, face detection and recognition, email notification and automatic door access management. Face Recognition supported openCV is brought up because it uses Eigen faces and reduces the scale of face images without losing vital features, facial images for many persons can be stored in the database. The door lock can also be accessed remotely from any part of the world by using Telegram android application. The captured image from pi camera will be sent to the authorized person through email for safety purposes.

MATEC Web of Conferences, 2018

Security issues are an important part of everyday life. A vital link in security chain is the identification of users who will enter the room. This paper describes the prototype of a secured room access control system based on face recognition. The system comprises a webcam to detect faces and a solenoid door lock for accessing the room. Every user detected by the webcam will be checked for compatibility with the database in the system. If the user has access rights then the solenoid door lock will open and the user can enter the room. Otherwise, the data will be sent to the master user via Android-based smartphone that installed certain applications. If the user is recognized by the master user, then the solenoid door lock will be opened through the signal sent from the smartphone. However, if the user is not recognized, then the buzzer will alert. The main control circuit on this system is Raspberry pi. The software used is OpenCV Library which is useful to display and process the...

International Journal of Wireless and Microwave Technologies

In this fast-paced technological world, individuals want to access all their electronic equipment remotely, which requires devices to connect over a network via the Internet. However, it raises quite a lot of critical security concerns. This paper presented a home automation security system that employs the Internet of Things (IoT) for remote access to one's home through an Android application, as well as Artificial Intelligence (AI) to ensure the home's security. Face recognition is utilized to control door entry in a highly efficient security system. In the event of a technical failure, an additional security PIN is set up that is only accessible by the owner. Although a home automation system may be used for various tasks, the cost is prohibitive for many customers. Hence, the objective of this paper is to provide a budget and user-friendly system, ensuring access to the application and home attributes by using multi-modal security. Using Haar Cascade and LBPH the system achieved 92.86% accuracy while recognizing face.

IRJET, 2020

In this paper we discuss the real time face recognition with the idea of secure locking automation utilizing iot for door unlocking system to provide necessary security to our homes, office, hospitals, banks etc. and related control operations. We know that in daily life security is major concern about every people so we work on this project to provide security by using smart door. Security caution through the azure database. It uses the image capturing technique in an embedded system based on raspberry pi and azure server system. R-pi (Raspberry pi) controls the video camera for catching it for turning on a relay for door unlocking. The system module contains a secured face recognition for automatic door unlocking. The camera catches the facial picture and compares with the given image stored in our local machine. If the image is found in the given database then the door unlock automatically otherwise it does not open the door and it will produce a message of an unknown person is trying to gain access and door remain lock.

Algorithms for Intelligent Systems, 2020

2017

The paper presents a theoretical model and a system concept to provide a smart electronic aid for blind people. The system is intended to provide measures such as face detection. This paper also presents a computer vision system for visually impaired. This system understands face around the subject up to 1 feet in front, left and right direction using a camera module. This proposed system uses Raspberry Pi board to process real time data collected by camera module. The module contains a secured face recognizer for automatic door unlocking. The camera catches the facial picture and compares it with the image which is stored in the database .If the picture is found in the database then the door lock opens otherwise it relevant pre -recorded speech message stored in memory is invoked. This pre-recorded speech messages are invoked using easy text to speech software which is installed in the raspberry pi board. Such speech messages are conveyed to the visually impaired using earphone or ...

This paper describes the design and implementation of secure locking using raspberry pi 3 model B for door unlocking to provide essential security to our homes. The work starts with the introduction of face detection followed by detail study of Viola Jones Algorithm. For object detection we used Haar feature based cascade classifier which is an effective face detection method. For face recognition we used the technique of Eigen faces which was proposed by Sirovich and Kirby for efficiently representing pictures of faces using principal component analysis. Raspberry pi is used for signaling servo motor which controls door locking and unlocking.