Development of A Prototype of An IoT Based Smart Home with Security System Flutter Mobile

2019 ◽  
Vol 1 (2) ◽  
pp. 34-41
Author(s):  
Nur Asyiqin Amir Hamzah ◽  
Muhammad Radzi Abu Saad ◽  
Wan Zakiah Wan Ismai ◽  
Thangavel Bhunaeswari ◽  
Noor Ziela Abd Rahman

This paper describes the development process of an IoT based Smart Home Security system prototype. The development of the prototype includes research on IoT based security systems and smart home systems. The aim of the study is to demonstrate an IoT smart home system that can benefit the user and at the same time, create a safe environment for the society. The system designed is an IoT based smart home system security equipped with a series of sensors which consist of temperature, light, flood and motion all controlled by an Arduino UNO which acts as a device manager then connected to a Raspberry PI microcomputer. The Raspberry PI acts as the command centre and connects the system to the Internet. The reason why the system uses both Raspberry-PI and Arduino is for simplicity, efficiency and cost-effectiveness. The development successfully shows that it is possible to enhance the daily lives by efficiently reducing human contact and increasing security for a home which lead to reduced crime rates. Besides that ,the utilization of an open source Flutter mobile application platform is proven to be as good as other paid platforms

2019 ◽  
Vol 1 (2) ◽  
pp. 34-41
Author(s):  
Nur Asyiqin Bt. Amir Hamzah ◽  
Muhammad Radzi B. Abu Saad ◽  
Wan Zakiah Bt. Wan Ismail ◽  
Thangavel Bhunaeswari ◽  
Noor Ziela Bt. Abd Rahman

This paper describes the development process of an IoT based Smart Home Security system prototype. The development of the prototype includes research on IoT based security systems and smart home systems. The aim of the study is to demonstrate an IoT smart home system that can benefit the user and at the same time, create a safe environment for the society. The system designed is an IoT based smart home system security equipped with a series of sensors which consist of temperature, light, flood and motion all controlled by an Arduino UNO which acts as a device manager then connected to a Raspberry PI microcomputer. The Raspberry PI acts as the command centre and connects the system to the Internet. The reason why the system uses both Raspberry-PI and Arduino is for simplicity, efficiency and cost-effectiveness. The development successfully shows that it is possible to enhance the daily lives by efficiently reducing human contact and increasing security for a home which lead to reduced crime rates. Besides that, the utilization of an open source Flutter mobile application platform is proven to be as good as other paid platforms.


Author(s):  
Ahmed Waleed Al-Khafaji

Physical security systems are applied to alert in advance a well-known vector of attacks. This paper presents an analysis of the research and assessment of physical security systems applying the PSMECA technique (analysis of modes, efforts, and criticality of physical security). The object of research and analysis is the physical security system of the Ministry of Education and Science of Iraq (as the infrastructure of the region's objects), as well as the area of the compact living of students and co-workers (campus). This paper discusses the organization of physical security systems, which are based on devices with low power consumption and function in the Internet of things environment. The main aim is to describe and develop a physical security system that functions in the Internet of things environment, as well as the development of a scheme for the research and development of models and methods for risk analysis, models of functions and components, models of failures and conducting research and analysis of occurrence failures of PSS. The generalized structural and hierarchical scheme of the physical security system of the infrastructure of the region is presented, as well as the applied application of the scheme is illustrated by the example of the physical security system of a student campus of one of the universities of Baghdad. The functional modeling scheme of the object is provided and is based on the use of the Raspberry Pi microcomputer and the Arduino microcontroller. The set-theoretical models of functions, components, and failures of the system under study, as well as the projection of a hierarchical failure structure in the table of the basic structural elements of the system, are presented. The IDEF0 diagram, showing a power outage scenario (accidental or intentional) in connection with lighting and video subsystems, is presented. The scheme of research and development of models and methods of analysis of risks of PSS is carried out in the paper. A PSMECA table for the CCTV system has been created, which allows you to more precisely determine the cause of the failure in the physical security system and the importance of failure criticality


2020 ◽  
Vol 176 (13) ◽  
pp. 45-47
Author(s):  
Manoj R. ◽  
Rekha Y. ◽  
Raju R. ◽  
Sharad A.

2021 ◽  
Author(s):  
Indhuja G ◽  
Aashika V ◽  
Anusha K ◽  
Dhivya S ◽  
Meha Soman S

In the present world the security of the home, banks, shops, etc., are the prime concerns. The traditional security such as Closed-Circuit Television (CCTV) cameras are very easy to break and lead to theft. And moreover, the installation cost of the security systems is costlier. To overcome these problems, we are presenting Internet of Things (IoT) based solution where we can setup a smart security system. In this paper, we are proposing the system with the help of face detection and face recognition algorithms to secure our home which gives us the facility of entire surveillance of our buildings remotely and take appropriate action if anything goes wrong. The Camera Serial Interface (CSI) is attached to the Raspberry PI which detects presence of person using Face detection and recognition algorithms. The multiple Raspberry PIs attached in different areas of our buildings are connected to the main Raspberry PI which acts as hub module. If the person is identified as unknown, the information is sent to Hub module which in turn sends the alert message and live video streaming to the user using an app which we developed.


2020 ◽  
Author(s):  
Pamely Zantou ◽  
Mikael A. Mousse ◽  
Béthel C. A. R. K Atohoun

Visually impaired people need help to travel safely. To make this possible, many travel aids have been designed. Among them, the cane which is considered as a symbol of visual deficiency in the whole world. In this work, we build an electronic white cane using sensors' technology. This intelligent cane detects obstacles within 2m on the ground or in height, and sends vocal instructions via a Bluetooth headset. We have also built a mobile application to track in real time the visually impaired and a WEB application to control the access to the mobile one. We use ultrasound, IR sensors and a raspberry pi to process data. We use Python as programming language for electronic devices. The mobile application is Android. Though, the WEB application is a REST API developed using Python and Java Script.


2021 ◽  
Vol 5 (1) ◽  
pp. 19-25
Author(s):  
Nizirwan Anwar ◽  
Budi Tjahjono ◽  
Masmur Tarigan ◽  
Dewanto Adhy Rosian ◽  
Nur Widiyasono ◽  
...  

The main problem in this research is the increase in cases of theft and robbery. This incident was caused by the busyness of everyone in their daily lives, so they forgot about the safety of their house. An Internet of Things (IoT) based home security system that utilizes a PIR sensor as a human motion detector and then sends a notification in the form of a notification via SMS or e-mail is one solution to overcome the problems that have been previously proposed in previous research. However, to further clarify the warning sent from the system, a home security system is needed that can attach an image to the notification. In this study, an IoT-based home security system was developed. The IoT security system being developed can automatically send a warning message by attaching an image when the PIR sensor detects human presence. The IoT system requires a Raspberry Pi as a microcontroller that is connected to the internet, a PIR sensor to detect human movement and a Pi Camera to win an image when there is an encounter with a human within the range of the PIR sensor. Experiments in this study show that the IoT system can automatically send warning messages via the Telegram application by attaching an image when the PIR sensor detects human presence in various light conditions with a distance of 0-5 meters and the speed of sending email alerts is influenced by the condition of the internet network connection and file size. images sent.


2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Eko Riyanto

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


2020 ◽  
Vol 8 (3) ◽  
pp. 210-216
Author(s):  
Subiyanto Subiyanto ◽  
Dina Priliyana ◽  
Moh. Eki Riyadani ◽  
Nur Iksan ◽  
Hari Wibawanto

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.


2020 ◽  
Vol 8 (2) ◽  
pp. 41-48
Author(s):  
V. Lisenko ◽  
◽  
A. Vaskovets ◽  
T. Dubovick ◽  
◽  
...  

The development of a Wi-Fi-controlled video machine using Arduino NANO is described. The connection diagram of Arduino NANO and additional modules is presented. The relevance of the topic under development is emphasized by the increasing demand for the use of remotely controlled video devices. A Wi-Fi-controlled video device (machine) was developed, which is powered by a battery that is connected to the charge controller module with microUSB. Possible battery life is 5-6 hours without recharging. In the process of developing a Wi-Fi-controlled video machine, a large amount of work was carried out, including adding the necessary libraries for the correct writing of programs and determining the necessary conditions for the functioning of the device. Program (sketch) for controlling the engines of the machine is also developed; the main components for creating the device are identified. For the mobile camera application to work, it is necessary to download the JoyLite application from the AppStore or PlayMarket; after which the smartphone “connects” to the Wi-Fi network and the SANNCE HD 720p camera. In the software part of the development of a Wi-Ficontrolled video machine using Arduino NANO in the Arduino IDE software environment, the program (sketch) was developed for the SANNCE HD 720p “JoyLite” mobile application. This program configures the signals from the stepper motors of the camera to asynchronous motors of the machine, as well as adjusting the speed of the wheels. During the tests of the device, it turned out that the Wi-Fi-controlled video machine has a sensitivity to speed impacts, namely, the speed should exceed 255 r./s. The developed Wi-Ficontrolled video machine can be used in various fields. For example, the device can be used in systems such as «Smart Home» or in security systems, or be implemented as a training project in the course of robotics. Keywords: Wi-Fi, microcontroller, Arduino NANO, video device, remotely controlled device.


2019 ◽  
Vol 8 (2S11) ◽  
pp. 2056-2058

This paper propose design a conception of Perimeter Security System we called “Outpost”. General idea is organization of work of remote settled and independent powered security module using Raspberry Pi hardware platform and some IoT sensors. Software part is explained on the level of the diagrams and describing conception of Edge Computing on IoT microcontroller. Represented work describe of using of the suggested solution and providing information of powering of hardware. An experimental model was carried out with the purpose of Security IoT module designing. Description of working model which is able to connect to any existing Smart Home network is given in this paper


Sign in / Sign up

Export Citation Format

Share Document