Intelligent Door Lock System Based on Raspberry Pi

2021 ◽  
Author(s):  
Xiaomin Zhang ◽  
Mingyu Song ◽  
Yaohui Xu ◽  
Zhengwu Dai ◽  
Weicong Zhang
Keyword(s):  
Raspberry Pi ◽  
Door Lock

Face recognition in an intelligent door lock with ResNet model based on deep learning

2021 ◽  
pp. 1-11
Author(s):  
Suphawimon Phawinee ◽  
Jing-Fang Cai ◽  
Zhe-Yu Guo ◽  
Hao-Ze Zheng ◽  
Guan-Chen Chen
Keyword(s):  
Face Recognition ◽  
Detection System ◽  
Low Cost ◽  
Ease Of Use ◽  
Raspberry Pi ◽  
Training Methods ◽  
Graphics Recognition ◽  
Face Images ◽  
The Face ◽  
Door Lock

Internet of Things is considerably increasing the levels of convenience at homes. The smart door lock is an entry product for smart homes. This work used Raspberry Pi, because of its low cost, as the main control board to apply face recognition technology to a door lock. The installation of the control sensing module with the GPIO expansion function of Raspberry Pi also improved the antitheft mechanism of the door lock. For ease of use, a mobile application (hereafter, app) was developed for users to upload their face images for processing. The app sends the images to Firebase and then the program downloads the images and captures the face as a training set. The face detection system was designed on the basis of machine learning and equipped with a Haar built-in OpenCV graphics recognition program. The system used four training methods: convolutional neural network, VGG-16, VGG-19, and ResNet50. After the training process, the program could recognize the user’s face to open the door lock. A prototype was constructed that could control the door lock and the antitheft system and stream real-time images from the camera to the app.

scholarly journals Face Recognition Door Lock System using Raspberry Pi

2021 ◽  
Vol 9 (VI) ◽  
pp. 138-145
Author(s):  
K. V. Usha Ramani
Keyword(s):  
Face Recognition ◽  
Face Detection ◽  
Initial Step ◽  
Power Input ◽  
Human Interaction ◽  
Raspberry Pi ◽  
Identification System ◽  
Human Beings ◽  
The Face ◽  
Door Lock

One of the crucial difficulties we aim to find in computer vision is to recognize items automatically without human interaction in a picture. Face detection may be seen as an issue when the face of human beings is detected in a picture. The initial step towards many face-related technologies, including face recognition or verification, is generally facial detection. Face detection however may be quite beneficial. A biometric identification system besides fingerprint and iris would likely be the most effective use of face recognition. The door lock system in this project consists of Raspberry Pi, camera module, relay module, power input and output, connected to a solenoid lock. It employs the two different facial recognition algorithms to detect the faces and train the model for recognition purpose

scholarly journals Result Analysis: Remotely Accessible Security System using IoT

2021 ◽  
Vol 9 (VI) ◽  
pp. 906-908
Author(s):  
Swagat Ahire
Keyword(s):  
Security System ◽  
Remote Access ◽  
Raspberry Pi ◽  
Push Button ◽  
Important Thing ◽  
Door Lock ◽  
Result Analysis

In the todays world a strong door locking system is that the first and most important thing to assure security of a home. Due to the increasing workload and daily travelling tasks most of the days people stays out of their houses. In such situations, identifying a visitor and getting remote access to their home is necessary. A smart door lock mechanism which may be completely monitored and controlled from a foreign location using smartphone is proposed during this paper. When a visitor presses bell/push button at the door, a Raspberry Pi with attached camera gets triggered and captures the image to check in database for identification. If found then door will simply open otherwise a notification will sent to the owner with OTP and visitor's image. Now depending upon owners will he/she can give access to visitor by giving system generated OTP.

scholarly journals Perancangan Door Lock Face Recognition Dengan Metoda Eigenfaces Menggunakan Opencv2.4.9 Dan Telegram Messenger Berbasis Raspberry Pi

2019 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Agung Yoke ◽  
Muhammad Fauzi
Keyword(s):  
Computer Vision ◽  
Face Recognition ◽  
Raspberry Pi ◽  
Door Lock

Salah satu cara yang dapat digunakan dalam computer vision adalah pengenalan wajah. Sudah banyak metoda yang dapat digunakan untuk melakukan proses tersebut diantaranya adalah Eigenface dan Fisherface. Pada penelitian ini menggunakan metode Eigenface untuk diterapkan pada sistem pembuka pintu otomatis, juga terdapat interaktif mengetahui status pintu sedang tebuka dan tertutup ataupun ingin membuka dan menutup pintu dengan menggunakan aplikasi Telegram messenger. Penelitian ini menggunakan Python sebagai bahasa pemograman dan Raspberry Pi untuk menyimpan database wajah dengan menggunakan library OpenCV 2.4.9 serta untuk mengendalikan komponen hardware. Database yang digunakan terdiri atas 10 foto wajah dan 2 sub folder positif, masing-masing diambil dari 10 posisi wajah terhadap kamera. Berdasarkan hasil perancangan, implementasi dan pengujian yang dilakukan, perancangan alat pembuka pintu dengan identifikasi wajah ini dapat mengetahui siapa yang diperbolehkan untuk membuka pintu, sehingga orang lain tidak bisa membuka pintu untuk menghindari tindak pencurian, dan juga dapat mengetahui status pintu sedang terbuka dan tertutup ataupun ingin membuka dan menutup pintu dengan mengirim chat Telegram. Pengujian pengiriman data photo rata rata pengiriman informasi ke Telegram sebesar 3.712 detik, pengujian sistem chat interaktif Bot Telegram messenger rata rata waktu respon feedback Telegram sebesar 3.786 detik.

scholarly journals Implementation of Template Matching Method for Door Lock Security System Using Raspberry Pi

2017 ◽  
Vol 2 (2) ◽  
pp. 143
Author(s):  
Beni Widiawan ◽  
Syamsiar Kautsar ◽  
Fendik Purnomo ◽  
Bety Etikasari
Keyword(s):  
Template Matching ◽  
Security System ◽  
Raspberry Pi ◽  
Matching Method ◽  
Door Lock

scholarly journals Development of a secured room access system based on face recognition using Raspberry Pi and Android based smartphone

2018 ◽  
Vol 197 ◽  
pp. 11008 ◽  
Author(s):  
Asep Najmurrokhman ◽  
Kusnandar Kusnandar ◽  
Arief Budiman Krama ◽  
Esmeralda Contessa Djamal ◽  
Robbi Rahim
Keyword(s):  
Face Recognition ◽  
Raspberry Pi ◽  
Cascade Classifier ◽  
Security Issues ◽  
Access System ◽  
The Face ◽  
Access Control System ◽  
Haar Cascade ◽  
Door Lock ◽  
Access Rights

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 image produced by webcam. In this paper, we employ Haar Cascade Classifier in an image processing of user face to render the face detection with high accuracy.

scholarly journals Smart Lab with Automated Access

2020 ◽  
pp. 78-85
Author(s):  
Milan Vishnoi ◽  
Kshitiz Saxena ◽  
Mohammad Anas ◽  
Sachin Singh ◽  
Navita Agarwal
Keyword(s):  
Embedded System ◽  
Raspberry Pi ◽  
The Face ◽  
Door Lock ◽  
Computer Labs

This paper deals with the idea of smart labs with automated access utilizing IOT for door unlocking systems and automating the process of switching ON the appliances to provide smartness and automation to our computer labs. It uses a picture capturing technique in an embedded system based on Raspberry Pi. RPi (Raspberry pi) controls the camera for capturing the image and for door unlocking. The camera captures the facial picture and RPi processes the image to the service which recognises the face in the image by comparing it with the images which are stored in the database. If the picture is found in the database then the door lock opens and a node is assigned to the person, the node and nearby fan and light are provided power. The person will be informed by an audio announcement about the assigned node.

scholarly journals SISTEM KEAMANAN RUMAH BERBASIS ANDROID DENGAN RASBERRY Pi

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Eko Riyanto
Keyword(s):  
Smart Home ◽  
Control Device ◽  
Security System ◽  
Raspberry Pi ◽  
Home Security ◽  
Working Principle ◽  
Door Lock ◽  
Electro Magnetic ◽  
Opening And Closing ◽  
System Controller

Smart Home is one of the tools that is developed for ease of automation of smart home management from the start of address, security, comfort, savings, through automation with Android. In designing a micro home security system controller using raspberry pi 3 and Android smartphones that can reduce the number of criminal acts of burglary door. This tool consists of an electro magnetic door lock called a solenoid door lock.This solenoid key is placed on the door of the house for security. The design of this home door security system utilizes Raspberyy pi b + as a control device from near and far by utilizing the wifi network and sms gateway to control opening and closing the home door lock that is controlled via an android mobile. Through web bootstrap that will display the results captured by the camera to provide a home situation every time someone enters.This house door security system that has been successfully built and tested with the working principle if there is someone who forces or breaks the house door in a closed condition, the system will activate a warning or alarm by sounding the buzzer¸ because there is an LDR sensor connected to one switch connected to the solenoid key that results, if the key is opened with a security system then the LDR sensor will turn off and there will be no alarm, but if it is forced to break the LDR sensor will activate and read the movement of the door so that the reaction occurs and the buzzer alarm will sound. This security system is a solution to increase the level of home security ¸ besides this sophisticated system is very easy to use and integrated with android smartphones

scholarly journals PERANCANGAN SMART DOOR LOCK MENGGUNAKAN VOICE RECOGNITION BERBASIS RAPBERRY PI 3

2018 ◽  
Vol 4 (2) ◽  
pp. 180-189
Author(s):  
Diah Aryani ◽  
Dedy Iskandar ◽  
Fitri Indriyani
Keyword(s):  
Speech Recognition ◽  
Computer System ◽  
Voice Recognition ◽  
Raspberry Pi ◽  
Servo Motor ◽  
Left Behind ◽  
Door Lock

The server door is the main access to enter the server room. Currently the door lock on the server room is still done manually using the physical key as a tool to open or lock the door. Physical keys are easily lost or left behind which results in the officer not being able to enter the server room. This resulted in the officer can not access the server. Based on these reasons, the server door is integrated with a computer system that can unlock the door using voice recognition to unlock the server door. Voice recognition is able to identify a person through his voice. Voice recognition is divided into 2 parts namely speech recognition and speeker recognition. Meanwhile, the authors use the speech recognition section to open thedoor server door lock. Where, speech recognition can identify what is spoken by someone. The design of this tool is made using Raspberry pi 3 as the processing center and ULN2803 as ic to increase the voltage so that it can move the solenoid that serves to move the doorlock. Then raspberry gives command to the servo motor to open the door. Only staff who have id and password are only able to open the door lock on the server room using voice recognition. While those who do not have id and password can not unlock the door in the server room. So with the design of smart door lock tool using voice recognition raspberry-based pi 3 provides a level of security and access more computerized.

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