scholarly journals Smart Home Security System using Iot, Face Recognition and Raspberry Pi

2020 ◽  
Vol 176 (13) ◽  
pp. 45-47
Author(s):  
Manoj R. ◽  
Rekha Y. ◽  
Raju R. ◽  
Sharad A.
Keyword(s):  
Face Recognition ◽  
Smart Home ◽  
Security System ◽  
Raspberry Pi ◽  
Home Security

scholarly journals Face recognition system with PCA-GA algorithm for smart home door security using Rasberry Pi

2020 ◽  
Vol 8 (3) ◽  
pp. 210-216
Author(s):  
Subiyanto Subiyanto ◽  
Dina Priliyana ◽  
Moh. Eki Riyadani ◽  
Nur Iksan ◽  
Hari Wibawanto
Keyword(s):  
Face Recognition ◽  
Smart Home ◽  
Principal Component ◽  
Recognition System ◽  
Classification Performance ◽  
Security System ◽  
Raspberry Pi ◽  
Home Security ◽  
Ga Algorithm ◽  
The Face

Genetic algorithm (GA) can improve the classification of the face recognition process in the principal component analysis (PCA). However, the accuracy of this algorithm for the smart home security system has not been further analyzed. This paper presents the accuracy of face recognition using PCA-GA for the smart home security system on Raspberry Pi. PCA was used as the face recognition algorithm, while GA to improve the classification performance of face image search. The PCA-GA algorithm was implemented on the Raspberry Pi. If an authorized person accesses the door of the house, the relay circuit will unlock the door. The accuracy of the system was compared to other face recognition algorithms, namely LBPH-GA and PCA. The results show that PCA-GA face recognition has an accuracy of 90 %, while PCA and LBPH-GA have 80 % and 90 %, respectively.

scholarly journals IoT based facial recognition door access control home security system using raspberry pi

2020 ◽  
Vol 11 (1) ◽  
pp. 417
Author(s):  
Syafeeza Ahmad Radzi ◽  
M.K. Mohd Fitri Alif ◽  
Y. Nursyifaa Athirah ◽  
A. S. Jaafar ◽  
A. H. Norihan ◽  
...  
Keyword(s):  
Face Recognition ◽  
Access Control ◽  
Security System ◽  
Raspberry Pi ◽  
Small Computer ◽  
Home Security ◽  
Learning Technique ◽  
Access Control System ◽  
Computer Board ◽  
Internet Of Thing

The home security system has become vital for every house. Previously, most doors can be open by using traditional ways, such as keys, security cards, password or pattern. However, incidents such as a key loss has led to much worrying cases such as robbery and identity fraud. This has become a significant issue. To overcome this problem, face recognition using deep learning technique was introduced and Internet of Thing (IoT) also been used to perform efficient door access control system. Raspberry Pi is a programmable small computer board and used as the main controller for face recognition, youth system and locking system. The camera is used to capture images of the person in front of the door. IoT system enables the user to control the door access.

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

Raspberry Pi Inappropriate for App Hubs in Smart Home and Security Installations

2021 ◽  
pp. 161-187
Author(s):  
Terrence Frost ◽  
Michael P. Nolan
Keyword(s):  
Internet Of Things ◽  
Educational System ◽  
Smart Home ◽  
Security System ◽  
Raspberry Pi ◽  
Deep Dive ◽  
Home Security ◽  
System On A Chip

With the advent of IoT (internet of things), our homes are becoming more dependent on technological devices to perform everything from basic to advanced tasks. In this paper, cyber living delves into the realm of home security and the use of Raspberry Pi compute devices to secure our homes. Raspberry Pi is an educational 'system on a chip' that sells for anywhere from $30 and up. Companies have been taking these basic devices, rebranding them, and turning them into the computers that drive a home security system. They operate everything from digital locks, cameras, thermostats, fire and CO2 alarms, and more. The authors take a deep dive and look under the cover at the security and viability of Raspberry Pi as a controlling device for home security.

Conception and implementation of a course for professional training and education in the field of IoT and smart home security

2020 ◽  
Vol 2020 (3) ◽  
pp. 277-1-277-8
Author(s):  
Michael Pilgermann ◽  
Thomas Bocklisch ◽  
Reiner Creutzburg
Keyword(s):  
Smart Home ◽  
Professional Training ◽  
Raspberry Pi ◽  
Science Students ◽  
Training And Education ◽  
Home Security ◽  
Master Level ◽  
University Course ◽  
Home Technology ◽  
Smart Home Technology

The aim of this paper is to describe the new concept of a Master level university course for computer science students to address the issues of IoT and Smart Home Security. This concept is well suited for professional training for interested customers and allows the creation of practical exercises. The modular structure of the course contains lectures and exercises on the following topics: 1. Introduction - IoT and Smart Home Technology and Impact 2. Homematic Technology and Smart Home Applications 3. Loxone Technology and Smart Home Applications 4. Raspberry Pi and Smart Home Applications 5. Security of IoT and Smart Home Systems and contains laboratory exercises of diverse complexities.

Smart Home Security System

2020 ◽  
pp. 127-133
Author(s):  
Vemireddy Sai sindhu reddy ◽  
P. V. K. Sai ◽  
Anupama Namburu
Keyword(s):  
Smart Home ◽  
Security System ◽  
Home Security

scholarly journals Sistem Keamanan Pintu dan Jendela Rumah Berbasih IoT

2020 ◽  
Vol 5 (2) ◽  
pp. 266
Author(s):  
Wahyuni Kurniasih ◽  
Abdul Rakhman ◽  
Irma Salamah
Keyword(s):  
Monitoring System ◽  
Smartphone Application ◽  
The State ◽  
Security System ◽  
Raspberry Pi ◽  
Security Monitoring ◽  
Home Security ◽  
Security Monitoring System ◽  
At Home

The house is the most valuable asset, therefore security at home is also very important. Therefore a home security system is created that combines a microcontroller with an Android smartphone application. The microcontroller used is the Raspberry Pi which is equipped with a camera as a home security monitoring system and various sensors as detectors such as magnetic, PIR sensors and solenoids as automatic door locks. So if the sensors that are installed detect something at home, then the homeowner will immediately get a notification sent by the database to the smartphone application, and the homeowner can monitor the state of the house right then through photos and videos recorded by cameras that have been installed at home.

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