Home Security System Research Articles

Access control and surveillance in a smart home

In the past years smart homes solutions have become more and more popular with the introduction of a high number of both Internet of Things (IoT) applications and smart devices. Home automation and security systems market is in a continuous growth, traditional security systems are evolving fast, and more and more people choose Smart home solutions. In this paper, we propose two IoT based systems in the context of Smart homes: qToggle for multiple home automation, and MotionEyeOS, a video surveillance OS for single-board computers. Most qToggle devices are based on ESP8266/ESP8285 chips or on Raspberry Pi boards and smart sensors, while MotionEye uses Raspberry Pi boards.

An intelligent home security system based on STM32

An intelligent home security system based on STM32

Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model

Security of lives and properties is highly important for enhanced quality living. Smart home automation and its application have received much progress towards convenience, comfort, safety, and home security. With the advances in technology and the Internet of Things (IoT), the home environment has witnessed an improved remote control of appliances, monitoring, and home security over the internet. Several home automation systems have been developed to monitor movements in the home and report to the user. Existing home automation systems detect motion and have surveillance for home security. However, the logical aspect of averting unnecessary or fake notifications is still a major area of challenge. Intelligent response and monitoring make smart home automation efficient. This work presents an intelligent home automation system for controlling home appliances, monitoring environmental factors, and detecting movement in the home and its surroundings. A deep learning model is proposed for motion recognition and classification based on the detected movement patterns. Using a deep learning model, an algorithm is developed to enhance the smart home automation system for intruder detection and forestall the occurrence of false alarms. A human detected by the surveillance camera is classified as an intruder or home occupant based on his walking pattern. The proposed method’s prototype was implemented using an ESP32 camera for surveillance, a PIR motion sensor, an ESP8266 development board, a 5 V four-channel relay module, and a DHT11 temperature and humidity sensor. The environmental conditions measured were evaluated using a mathematical model for the response time to effectively show the accuracy of the DHT sensor for weather monitoring and future prediction. An experimental analysis of human motion patterns was performed using the CNN model to evaluate the classification for the detection of humans. The CNN classification model gave an accuracy of 99.8%.

Ranking Security of IoT-Based Smart Home Consumer Devices

Manufacturers of smart home consumer devices like home theatres, music players, voice-based assistants, smart lighting, and security cameras have widely adopted the Internet of Things (IoT). These devices pose a significant security risk to consumers because the devices are exposed to mobile applications and cloud-based services with known security vulnerabilities. Most current home consumer devices provide little or no information about the level of security they afford. Since most consumers are not tech-savvy, it is currently difficult for a consumer to make an informed decision about which consumer device model (e.g., smart television model) has the best security. Hence, consumers need an objective security ranking of each type (e.g., security cameras) of home consumer devices. This paper proposes a novel methodology to systematically build such security rankings for home consumer devices. The proposed methodology can be applied by utilizing data from any security assessment study. The paper discusses previous efforts in applying Analytic Hierarchy Process (AHP) to rank security risks in general. The paper also presents a systematic survey of security vulnerabilities of smart home consumer devices when viewed from an IoT lens. Using the proposed methodology, a case study, employing an AHP model for ranking commonly used home consumer devices including home theatres, security cameras, smart lighting, smart speakers, video surveillance, smart switches, home automation systems, home security systems, smart routers, wireless doorbell cameras, and home audio systems, was developed. Relative security rankings for each type of consumer device were derived from the AHP model. According to the AHP model, network security was the primary driver of smart home device security with a priority of 0.6893 while application security had the least priority of 0.0591. Critical Vulnerabilities were the most important for device security (priority=0.4397), Man-in-The-Middle attacks for network security (priority=0.2019), exploitable services for cloud security (priority=0.26), and sensitive data for application security (0.7626). The AHP model was internally consistent (Consistency Ratio < 0.1). Sensitivity analysis showed that the AHP model was robust against pairing assumptions.

Opportunities for thermoelectric generators in supporting a low carbon economy

Environmental pollution, global warming and increasing energy demands are urgent challenges facing society. Governments all over the world have set a national policy target for the transition to a zero or low carbon dioxide economy. As a result, scientists and engineers in industry and academia are working to develop cleaner, alternative and sustainable energy production technologies. One technology that has potential in this green technology transition is thermoelectric generators (TEGs), traditionally used off-grid and isolated from things such as stand-alone solar–thermal cells for military and aerospace applications such as missile-testing systems and space telescope cameras. However, future applications based on home entertainment, security systems and smart metering applications are imminent. Key limitations to this are low efficiency, high costs and self-heating with low thermal conductivity. Hence, this study aims to examine the current state of the art of TEGs and identify future research directions to achieve support for the green technology transition. The key findings of this study show that present successes will fulfill the future advancement of thermoelectric technology by supporting a low carbon dioxide economy.

Smart Home Multi-Factor Authentication Using Face Recognition and One-Time Password on Smartphone

Recently, the adoption of smart home technology has been on the rise and becoming a trend for home residents. The development of Internet-of-Things (IoT) technology drives the smart home authentication system with biometric systems such as facial recognition, fingerprint, and voice control techniques. In the context of homeowners, security is always the primary concern. However, conventional home security and the existing smart home security system have some limitations. These techniques use single-factor authentication, which provides limited protection for home security. Therefore, this project proposed a design for smart home multi-factor authentication using facial recognition and a one-time password sent to smartphones for a home security system. Rapid application development was the methodology for conducting this study. A usability evaluation suggested that the proposed smart home multi-factor authentication is acceptable, but some usability issues can be improved in the future.

Transparent photodetectors with ultra-low dark current and high photoresponse for near-infrared detection

A remarkable progress in research works regarding flexibility and transparency of organic optoelectronic devices has been observed in the past decade compared to their inorganic counterparts. However, few studies have been devoted to the advancement of a transparent organic photodetector. In this study, we have used a wavelength-selective bulk-heterojunction of ClAlPc:C 60 as active layer and Cu:Ag/WO 3 metal alloy as electrode to realize a see-through organic photodetector (OPD) with an average visible transmission of 76.92%. The optimized transparent OPDs show an average dark current density of 0.36 nA cm −2 and a rise/fall time of <5 μs under a bias voltage of −2 V, which could be potentially applied in a home security system based on invisible near-infrared detection. This work presents an organic photodetector (OPD) exhibiting average visible transmission of 76.92% and rise/fall time of <5 μs. Based on this concept, a highly sensitive transparent OPD could be fabricated to act as an intelligent sensor in home security because it can even detect weak near-infrared signals through the window. • The concept of the transparent organic photodetector (OPD) with a metal-dielectric electrode was demonstrated. • The OPD with average visible transmission >76% was achieved. • Sub-nA dark current density for transparent OPD was achieved. • The transparent OPD showed the rise/fall time of <5 μs.

Application of IoT Concepts for Home Security Systems

Application of IoT Concepts for Home Security Systems

Review of Motion Sensors as a Home Security System and approach to the Internet of Things Project

Home security is an essential factor and must be maintained; currently, the development of technology or security systems continues to be improved, one of which is Eye Retina and Artificial Intelligence. in this research, the use of Motion Sensors in Home Security, performance evaluation, and future development. In this time, more crimes occur in our environment, one of which is theft or breaking into people's homes in various areas; this problem is disturbing to residents in areas where these crimes often occur, even though so far, residents have used many methods to prevent crime, one of which is installing CCTV. However, thieves still have managed to escape the CCTV surveillance. But suppose we use a security system that can make a sound. In that case, the sound can make criminals cancel their intention to steal because the sound disturbs their concentration and can also wake the house owner or tell residents about a crime in the house. And in this article, I will describe a home security system. This system requires several supporting equipment, such as PIR, Arduino, Buzzer, and other tools.

Development of an Intelligent Smart Home Automation System

Generally speaking, security has been a major concern in every nook and cranny of our nation -Nigeria. Recently, cases of vandalisation, stolen vehicles, and related issues have been on the increase. The security personnel has done lots of work to curb this menace but most of their actions have not yielded the expected results. Therefore, there is need to use technology to create a safer society. Such technology will use GSM and camera for detections. The technology is not going to replace the security personnel and usage of appliances such as gates, and doors locks, electric wires, etc, but it will be used as an alternative method for prevention/detection. Based on this background, a digital light-dependent resistor (LDR) sensor coupled with a microcontroller, relay, camera, and GSM technology was used to develop a smart home security system for automatic detection. The LDR sensor converts the light intensity to a digital format for the microcontroller to control the security lights automatically by using the relay as a switch. The passive infrared motion sensor perceives human movement and converts it to digital format for the microcontroller to trigger the GSM module and alert the user for live streaming of what is happening on the mobile app by establishing a connection between the camera and android smart device. The capturing and videoing are done on the mobile android device.

IoT Based Comprehensive Autonomous Home Automation and Security System Using M2M Communication

Background: In the era of Internet of Things (IoT), automation of home and security systems is becoming remarkably easy. Many research works have also been conducted to bring the most convenient way of automating home appliances and security systems. But little research has been carried out in providing the most comprehensive or autonomous or self-controlled home automation. This paper aims to provide a comprehensive solution to mitigate the existing need. End users can interact with household appliances in a variety of means irrespective of platforms used and their geographical location through a smartphone application. Using their speech as input, users can also operate the electrical appliances via voice commands. In addition to the mobile application and voice command by integrating some cloud services, an attractive web interface could be provided as another alternative for better data presentation and analysis. The autonomous feature would allow the home to monitor and control its environment by itself through installed sensors, sharing data and taking a relevant measurement without a need for human intervention. Method: In order to achieve those performances the work will deploy an MQTT (Message Queuing Telemetry Transport) messaging protocol to enable the modules easily communicates one another. Results: Multiple alternative means of controlling and interacting with home appliances was provided. Both autonomous mode and safe mode features would make the system to behave and run autonomously. Conclusion: The paper also embraces the presentation for an application of multiway, cross-platform and user oriented home automation and security system as well as convenient means of controlling and monitoring household electrical appliances.

GSM Based Home Safety and Security System

In this paper, we worked on how to control home apparatuses, safety, and security systems utilizing GSM innovation by utilizing a cell phone. We will likewise show that we can control the apparatuses even without a phone by sending an ordinary call. The favorable position of utilizing GSM innovation is that we can handle home appliances from any place in the world. This system permits the proprietor to control the appliances and to get a feedback status of the home apparatuses by sending calls just as through a portable application. For the home security system, we are utilizing an antitheft announcing system that will report the proprietor by sending a message and ringing a call. Likewise, for the security system, when fire or gas spillage is expected to occur, it will also report the proprietor by sending a call. Subsequently, by utilizing GSM innovation, it gives remote access to the gadgets to be controlled.

GSM Based Home Safety and Security System

In this paper, we worked on how to control home apparatuses, safety, and security systems utilizing GSM innovation by utilizing a cell phone. We will likewise show that we can control the apparatuses even without a phone by sending an ordinary call. The favorable position of utilizing GSM innovation is that we can handle home appliances from any place in the world. This system permits the proprietor to control the appliances and to get a feedback status of the home apparatuses by sending calls just as through a portable application. For the home security system, we are utilizing an antitheft announcing system that will report the proprietor by sending a message and ringing a call. Likewise, for the security system, when fire or gas spillage is expected to occur, it will also report the proprietor by sending a call. Subsequently, by utilizing GSM innovation, it gives remote access to the gadgets to be controlled.

SecuriFi: Highly Robust Person Intrusion Sensing and Localization System Based on Wi-Fi Signals

Home safety has always been a major concern for every family member. How to quickly sense intrusions while keeping costs low and provide users and police with accurate information about the intruder after sensing the intrusion has become an important challenge for every home security system. So we propose SecuriFi, a highly robust indoor person intrusion sensing and localization system based on Wi-Fi signals. SecuriFi uses Channel State Information (CSI) extracted from Wi-Fi signals as a medium for sensing intrusion and locating people, ensuring high system performance while effectively reducing costs. SecuriFi consists of two modules: intrusion sensing and localization. The intrusion sensing module senses the intrusion behavior by judging the change of signal energy. The localization module effectively removes the environmental noise by constructing a combined filter, and then uses an Extreme Learning Machine (ELM) as a classifier to process and form an offline fingerprint database, which maps the CSI data to the human location. In this paper, SecuriFi is verified in two different real-world environments, and the experimental results prove that SecuriFi has stronger sensitivity to intruders and high localization accuracy at the same time.

Sistem Pengaman Berbasis Microcontroler Internet Of Things (IoT) Sebagai Pengaman Rumah Interaktif

The development of technology is currently happening very quickly and has become a part of human life. One technology that has become an important part of human life is the application technology of an interactive smart home security system (smart house). This can overcome various problems that often occur in home security which were previously only controlled by manual systems and were prone to theft crimes. The purpose of this research is to develop an Arduino-based interactive smart home technology that works automatically by relying on sensors and without a wireless remote-control device such as a remote control based on an Android application. The research method used by the research team is the development of a prototype which includes smart home technology, home security devices, and automation of smart home devices which are realized by two-dimensional and three-dimensional engineering methods for house models in the form of electronic circuits, as well as home electrical and security plans. The development of this technology provides significant benefits, including making it easier for users of the interactive smart house feature, so that its use becomes more practical and efficient as well as disability friendly and all ages. Indonesia needs to keep moving forward in terms of technological development and innovation, especially in terms of home security and the manufacture of smart homes by utilizing the Internet of Things (IoT) and applications on Android. Until later Indonesia can match up to the stage of surpassing the technological capabilities that have been applied in various developed countries and products can be patented into an Internet of Things (IoT) based security system.

METHOD OF TRANSMITTING INFORMATION ON THE INTERNET OF THINGS

Background. The IoT technology covers devices and appliances, such as thermostats, home security systems and cameras, lighting fixtures as well as other household appliances that support one or more shared ecosystems, and can be controlled by devices associated with that ecosystem, for example with smartphones and smart speakers. However, there are a lot of problems to be solved. One of these problems is the power supply of wireless sensors on the Internet of Things.&#x0D; Objective. The purpose of the study is to reduce energy consumption of IoT devices in the process of transmitting the collected data by regulating the number of transmission transactions.&#x0D; Methods. The analysis of the existing energy saving methods in IoT devices shows that the problem of choosing the optimal buffer size has not yet been solved. An optimization problem has been formulated, which allows considering the requirements for the quality of transmission of both information flows and communication systems that provide this transfer.&#x0D; Results. The article presents the modified method of information transmission to improve the energy efficiency of the network. The need to allocate a queue buffer at each of the nodes and explain the operation of the node using the queue buffer has been highlighted. The scheme of the project with the use of the modified Sleep / Wake algorithm has been created.&#x0D; Conclusions. The main idea of the method is to allocate a buffer at each node with a certain threshold value, and if the latter is exceeded, the transmission of information packets will begin. This increases the service life of WSN by 14.8… 20.6% compared to the IoT sensor networks that use an asynchronous queue cycle.&#x0D; Keywords: IoT; energy efficiency; life expectancy of the IoT network.

FACIAL RECOGNITION DOOR LOCK USING RASPBERRY PI

In today's world, we are confronted with security challenges on every level. As a result, we must use modern technologies to address these difficulties. The Face recognition module is being used in this project to capture human photos and compare them to photographs stored in a database. The detection of persons who enter or leave the house is the most crucial element of any home security system. Instead, then using passwords or pins to monitor this, unique faces can be used because they are a biometric property. We want to build this system on the Raspberry Pi 4 to make the house only accessible when your face is identified by the Open CV library's recognition algorithms and you are authorized in by the house owner, who can monitor entry remotely. it identifies the face and unlocks the door if the face is registered; This is how things function in the system.

A Review on IoT Based Smart Security And Home Automation

Recent advances in smartphones and affordable open-source hardware platforms have enabled the development of low-cost architectures for Internet-of-Things (IoT)-enabled home automation and security systems. These systems usually consist of sensing and actuating layer that is made up of sensors such as passive infrared sensors, also known as motion sensors; temperature sensors; smoke sensors, and web cameras for security surveillance. These sensors, smart electrical appliances, and other IoT devices connect to the Internet through a home gateway. This project is based on implementation of an IoT based home security system, to be able to control entrance from anywhere in the world is the major aim of this project and at same time it should be secured, and this was achieved with the use of Internet of things and some other electronics components. An automatic door control system working through a mobile app and also through a keypad was achieved. IoT refers to the infrastructure of connected physical devices which is growing at a rapid rate as a huge number of devices and objects are getting associated with the Internet. Home security is a very useful application of IoT and we are using it to create an inexpensive security system for homes as well as industrial use.

Design And Build A Room Security System Based On Internet Of Things (IOT)

Workspace or home security systems required special attention, especially in the issue of locks for room security that must be unique, not easily opened by unauthorized people to enter the room. In this research, indoor security systems applied Internet of things (IoT), the use of MQTT Broker which functions as a getway for data transactions between publishers and subscribers, power supply and ESP8266. The method to building the smart doorlock was use prototype method, designed the system and design diagrams, used UML (Unified Manipulation Language), the analysing problem used the PIECES method. The use of the MQTT broker functions as a gateway to connect publishers, subscribers, power supplies and the ESP8266 wifi module which functions as a gateway between devices to the mobile. The result of this researched was prototype the smart door lock system using IoT.

Bluetooth Based Home Automation and Security System

In this paper, we have made a home robotization and security framework that will be extremely useful for the old matured individuals and truly tested individuals. For security reasons, we have also added a fingerprint scanner app to get access for the automation system. The possibility of this venture is to control home apparatuses by evading the threats of electric stun and make an agreeable life. And one of the prime ideas of this project is to eradicate the idea of ‘There is nothing without internet’ by replacing Internet with Bluetooth as the transmission medium.