Face Recognition Based Door Lock System (original) (raw)

Automatic Door Lock System Using Face Recognition

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.

Intelligent Door Lock System with Face Recognition

International Journal for Research in Applied Science and Engineering Technology IJRASET, 2020

Internet of Things (IoT) is mainly used to conceptualize the idea of remotely connecting and monitoring real world objects (things) through the Internet. When it comes to our house or office, this concept can be capably integrated to make it smarter, safer and automated. This paper focus on building the intelligent security system using wireless technology which is capable of sending automatic alert messages to the owner by using network in case of any intrusion and raise alarm optionally. There are many security systems currently available in the market which was too priced which cannot be purchased by the ordinary person. The paper target is to supply the primary information to the user about the utilization of open source technology which comprises of OpenCV2, LBPH algorithm, SMTP. The implementation area is mainly focused on local level like home, campus and offices. The system has come up with the real time face detection and recognition once the camera is started. The captured image is examined with the images available in the database and if it is a match, the entry is granted and door will open. On the other side which is, if the captured face did not match with the images available in database then the captured image is sent to the owner's mail. The system is going to wait for the response from owner with an appropriate action. Based on the action retrieved from the owner it will decide either access will be granted or denied. The main goal of the project is to develop a recognition system which uses real time faces of the person as well as to provide security to ordinary persons with low cost.

Using Face Recognition in the Automatic Door Access Control in a Secured Room

2017

The aim of this paper is to help users improve the door security of sensitive locations by using face detection and recognition. This paper is comprised mainly of three subsystems: face detection, face recognition and automatic door access control. The door will open automatically for the known person due to the command of the microcontroller.

Survey on Face Recognition for Automation of Door Lock System

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.

Smart Door Lock System Using Face Recognition

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

Currently, we're facing security issues in every aspect. So, we've to resolve these issues by using streamlined technology. In this project, we're using the Face recognition module to capture human images and to compare with stored database images. The most important of characteristic of any home security system is to discover the people who enter or leave the house. Instead of monitoring that through passwords or pins, unique faces can be made use of as they're one's biometric characteristic. We aim to make a smart door, which secures the gateway on the base of who we are. The goal of this project is to help users improve the door security of sensitive places by using face detection and recognition. The proposed system consists of basically the following subsystems: Face Detection, Face Recognition and also automatic door access control.

Face Recognition System for Automatic Door Access Control

Engineering an d Technology Journal, 2023

A face recognition system for automatic door access control has been developed in this work with a view to providing a relatively more robust and foolproof access control which can provide better security and reduce human errors inherent in other conventional methods. The system was designed with machine learning and artificial intelligence to capture faces, train faces with machine mode, and run trained faces to grant access to the user. The system uses the RaspberryPi module, camera module, servo motor and the GSM module which were all incorporated into the fabricated building to make up the prototype developed to provide access control by means of facial biometrics. In order to grant access to registered users, various photos of the users were taken in different positions and expressions with proper illumination. The user's face is been captured by the camera module and saved in the database with the help of Raspberry Pi Module. Good lighting condition and other favorable conditions helps the camera module to recognize faces and sends signal to the Raspberry Pi which processes these images and opens the door with the help of the servo motor. The developed prototype was used to train fifty (50) users. It granted access to all fifty (50) users when there was proper illumination and pose but five (5) and nine (9) users respectively were denied access due to challenges of poor illumination and pose variation.

Face recognition based Access Control of Door and Home Security system

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 ...

Face recognition based door unlocking system using Raspberry Pi

International Journal of Advance Research Ideas and Innovations in Technology

Today we are facing security issues in every aspect. So we have to resolve these issues by using updated technology. In this project, we are using the Face recognition module to capture human images and to compare with stored database images. If it matches with the authorized user then the system will unlock the door by an electromagnetic lock. The need for facial recognition system that is fast and accurate that continuously increasing which can detect intruders and restricts all unauthorized users from highly secured areas and aids in minimizing human error. Face recognition is one of the most Secured System than biometric pattern recognition technique which is used in a large spectrum of applications. The time and accuracy factor is considered about the major problem which specifies the performance of automatic face recognition in real-time environments. Various solutions have been proposed using multicore systems. By considering the present challenge, this provides the complete architectural design and proposes an analysis for a real-time face recognition system with LBPH Algorithm. In this algorithm, it converts the image from color to greyscale image and divides into pixels and it will be allocated in a matrix form and those images will be stored in the database. If an image is detected then microcontroller will send power to the motor driver unit then the electromagnetic lock will unlock the door and it will lock again when there is no power supply to that unit. Finally, this paper concludes for the advanced implementations achieved by integrating embedded system models against the convention.

Facial Recognition Based Automated Door

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.