Home Security Research Articles

Voice Controlled Robot Vehicle Using Arduino

Abstract: This project was created in such a way that voice instructions are used to control the robot. For required duties, an android application with a microcontroller is employed. Bluetooth technology facilitates the connection between the android app and the automobile. The robot is operated by the user's spoken orders or buttons on the application. The two dc servo motors attached to the microcontroller on the receiver side aid the robot's movement. The Bluetooth RF transmitter converts the commands from the application into digital signals at a range of about 100 metres to the robot. The data is deciphered by the receiver and supplied to the microcontroller, which controls the DC motors to perform the required job. The goal of a Voice Controlled Robotic Vehicle is to complete a task by listening to the user's commands. For the user to operate the robot smoothly, a prior preparation session is required. A code is used to give instructions to the controller in the same way. The project "Voice Controlled Robotic Vehicle" has numerous uses both now and in the future. In the future, improvements can be added to the project to make it more effective. The project has a wide range of applications, including military, home security, rescue missions, industry, and medical support. Using the given resources, we were able to create a rudimentary model of a voice-controlled robotic car. Because this project is simple to implement, this robot is advantageous to human life. The Voice Control Robot is beneficial for monitoring and assisting disabled persons. It is simple to use because it operates with basic voice commands. It is effective in locations where humans are unable to reach. As a result, we can employ this robot to spy on people. It has the potential to be utilised for surveillance. For security purposes, we can incorporate a web cam into this robot. The voice recognition software is highly sensitive to background noise and has a high accuracy for identifying a voice command.

Enhancing Home Security in North-East of Nigeria using Home Automation

Home automation plays a vital and essential role in modern era because of its usability and flexibility in using it at different places with high precision which will save cost and time by decreasing human stress. The main purpose of this technology is to control the household equipment’s like, door, fan, AC, light etc. automatically. This research work has concentrated information on Home Automation and Security System using Arduino, GSM and how we can control home appliances using Android Application. Whenever a person will enter into the house then the count of the number of persons entering in the house will be incremented, in Home Automation mode appliances will be turned on whereas in security light will be turned on along with the alarm. The count of the number of persons entering the house is also outputted on the LCD screen. In Home Automation mode when the room will become empty i.e. the count of persons reduces to zero then the appliances will be turned off making the system power efficient. The owner can control his home appliances by using an android application present in his mobile phone which will reduce the human stress. At the same time if anyone enters while security mode is on a SMS will be sent to house owner’s mobile phone which will indicate the presence of a person inside the house. The alarm can be turned off using SMS or Android application.

Design and Build a Home Security System based on an ESP32 Cam Microcontroller with Telegram Notification

Along with the times and technology, the need for fast information is needed in various sectors of life, thus supporting the performance of these sectors, one of which is the security aspect, especially in security at home, considering that there are many things that happen such as crimes and negligence of residents of the house that can cause problems such as fires. In this case, a system is needed that can visually monitor the condition of the room from remote location. This is useful for the surveillance process so that if there is a crime and fire in the surveillance room, the system can monitor the state of a room via a smartphone. This study aims to create a device that is able to increase the security of the room at home by utilizing the Esp32 cam as a microcontroller and the PIR sensor as a detector of movement when crossing the corner area of the sensor and also the Fire sensor key as a detector of fire. In this study, the ESP32 cam is used as the main brain of the system which will read data from the fire sensor, PIR sensor, and remotely control the door lock and door unlock. The data from the sensor will be sent to the server by Esp32 cam. The test results have been running in accordance with the designed system. So that pictures taken and notifications of fire can be sent to the telegram application with a 100% success percentage.

Home Security System using ESP32-CAM and Telegram Application

This chapter deals with the implementation of our own monitoring system with home security. The system is designed using IoT modules and uses ESP32 microcontrollers. The chapter describes the design of the system, its hardware components, software implementation, security solutions, communication, the collecting and monitoring of processed data, as well as the quantification of costs for the production and deployment of this system. The proposed system secures a house by detecting an intruder in the building, triggering an alarm and capturing it all with camera images and then sending data to the owner’s smart mobile.

Designing Gestures of Robots in Specific Fields for Different Perceived Personality Traits.

Since their development, social robots have been a popular topic of research, with numerous studies evaluating their functionality or task performance. In recent years, social robots have begun to be regarded as social actors at work, and their social attributes have been explored. Therefore, this study focused on four occupational fields (shopping reception, home companion, education, and security) where robots are widely used, exploring the influence of robot gestures on their perceived personality traits and comparing the gesture design guidelines required in specific occupational fields. The study was conducted in two stages. In the first stage, an interactive script was developed; moreover, observation was employed to derive gestures related to the discourse on the fields of interest. The second stage involved robot experimentation based on human–robot interaction through video. Results show that metaphoric gestures appeared less frequently than did deictic, iconic, or beat gestures. Robots’ perceived personality traits were categorized into sociality, competence, and status. Introducing all types of gestures helped enhance perceived sociality. The addition of deictic, and iconic gestures significantly improved perceived competence and perceived status. Regarding the shopping reception robot, after the inclusion of basic deictic and iconic gestures, sufficient beats gestures should be implemented to create a friendly and outgoing demeanor, thereby promoting user acceptance. In the home companion, education, and security contexts, the addition of beat gestures did not affect the overall acceptance level; the designs should instead be focused on the integration of the other gesture types.

Design of Remote Real-Time Monitoring and Control Management System for Smart Home Equipment Based on Wireless Multihop Sensor Network

With the intensification of the pace of modern urban life and the increase of work pressure, people have higher requirements for the safety and comfort of home. However, the rapid development of Internet of Things technology, wireless communication technology, embedded technology, and data fusion technology has made this desire possible, thus making intelligent and safe. Using wireless sensor network, intelligent home system can realize the real-time collection of object location and state information, remote operation of home equipment, as well as the monitoring of the information of personnel activities, etc. However, how to efficiently analyze and integrate these information to be applied to the intelligent home system is one of the problems that need to be solved; further study of the smart home system of personal behavior identifies fire monitoring and remote monitoring of mining applications. Such information collection and integration of technology and method are given based on wireless sensor network transfer of key technologies; intelligent home security monitoring system based on Bayesian networks is proposed and a card. According to the theoretical fire monitoring method, and based on the Bayesian belief network personal behavior identification model, this paper provides the theory and method for the remote safety monitoring and control in the intelligent home environment. In this paper, based on the multisensor data fusion of smart home security, real-time monitoring alarm platform is built. Through the multisensor detection module for the home fire gas human infrared monitoring, the detected data is transmitted to the data fusion center for processing; processed results are uploaded to the cloud through the Internet. When abnormal conditions occur, users can log in to the mobile phone client to view abnormal alarm results.

A survey of security and smart home automation based on internet of things technology

The <span>internet of things (IoT) refers to the physical tools that are embedded with Internet, software, electronics, sensors and network connectivity. This involves many different systems, for example, healthcare, smart home and so on. The security problem of the Internet of Things and the Smart Home infrastructure is considered, which has become an urgent issue due to the high popularity, low systemic research and the growth of threats to "us" (people seeking comfort) from "them" (surrounding things, which becoming increasingly intelligent, automated). The research is based both on a systemic, infrastructure understanding, and on an architectural, problem-oriented level. Key security risks for the infrastructure of various types-software and technical, technological, socio-psychological and others-were analyzed. The evolutionary problems of the internet of things and factors influencing the vulnerability of infrastructures have been investigated. In addition to traditional network security tasks, specific tasks (direct and reverse, for identification) are highlighted in IoT interactions and environments. This paper provides an overview of the related work in IoT, together with the open challenges and future research directions using Arduino platform (such as "thick server-thin client") to simulation modeling of time delay probability distribution based on identified simple model.</span>

ML-Based IDPS Enhancement With Complementary Features for Home IoT Networks

The Internet of Things (IoT) networks are obstructed by security vulnerabilities that hackers can leverage to operate intrusions in many environments, such as smart homes, smart factories, and smart healthcare systems. To overcome this obstruction, researchers have come up with different intrusion detection and prevention systems (IDPSs). Out of all the implemented technologies, Machine Learning (ML) has emerged as the most promising approach. Therefore, to improve the detection accuracy, most ML-based intrusion detection solutions focus only on investigating appropriate ML algorithms. Yet, the limitations in terms of detection accuracy in various attacks are often caused by lack of appropriate detection features. Moreover, the majority of the previous works lack intrusion prevention mechanisms and deployment architectures. Thus, in this research, we study the properties of different smart home security attacks and the quality of the features that can be brought out and employed in ML algorithms to detect each of these attacks efficiently. Furthermore, this research proposes effective intrusion prevention mechanisms and a Software-Defined Networking (SDN) based deployment architecture of the IDPSs within home networks. Experimental evaluations of the proposed solution are provided using different feature sets and various ML models. The contributions and advancements discussed in this paper will upgrade future research and engineering works on IDPSs for IoT.

Home Security System using Arduino Uno (Implementation)

Abstract: The Project is an implementation of the IOT based home security system, which is able to secure homes and make people feel safe and can be bought by almost everyone. The Major aim of the Project was to be cost efficient and simultaneiusly it should be secure, and this was accomplished with the use of internet of things and other electronics component. With the help of an LDR sensor and a keypad a working automatic door system was achieved.. IoT refers to the infrastructure of connected physical devices which is growing at a fast rate as a massive number of devices and object are getting connected with the internet. Home Security is a very important and useful tool of the IoT and we used it to build a low cost security system for homes which can be used by almost everyone. Keywords: Arduino , ESP32 CAM

Smart Patriarch: Home Security and SMS Security Using IoT and Machine Learning

Abstract: A large fraction of the old in our society live away from nears and dears. Newspapers of today are flooded with attacks towards them. These attacks are not only physical, they are technical too. This paper presents a system employing fraudulent message detection wiping out the chances of old beign victims of fraud SMS ,and face detection, home automation, health monitoring system ensuring their physical security. An android application and a blynk application installed in both old users andchild’s mobile are the two applications employeed. The fraudulentmessage detection module classifies SMS delivered to the oldusing SVM classifier. Spam SMS alerts are displayed in the android application. Face detection module uses ESP32Cam to capture video frames and thereafter OpenCV to crop faces anda face recognition model to classify obtained faces as known and unknown. Unknown face alerts are given via the android application. The old might be unable to turn ON/OFF lights and fans everytime. Home automation system uses two PIR sensors one for light and other for light. PIR sensors detect motion and pass signals to relay modules and accordingly fan and light turn ON and OFF. Lights and fans can also be operated manuallyvia the android application. Most importantly health is what that matters .A health monitoring system in the form of blynk application collects data from temparature and pulse sensors anddisplays in the application. Alerts are displayed once the vitals exceed the preset threshold value. Index Terms: SVM, Home Automation, Convolutional neural networks, OpenCV

Smart Door Lock System Using Face Recognition

Abstract: 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. Keywords: Face Detection, Face Recognition, Authentication, Convolutional Neural Networks

IoT Based Emergency Button for Women Safety

Abstract: Fundamental to IoT is the instant collaboration that happens between these smart devices. The beauty behind having a network of interconnected devices is that they can all work together to provide real solutions that are much greater than the sum of their parts. IOT based products are always connected and constantly communicating with each other. They regularly exchange information using wired and wireless networks, which helps make our lives easier and safer. When IoT based smart home security systems are used to safeguard our home or possessions, it’s akin to having our favorite reliable friend dutifully watching over our home or pets in our absence. Except it’s actually way better than that, because unlike our well-meaning friend or neighbor, smart home security systems are always present and are ready to instantly alert us of any signs of danger. Smart products, like Nest Lab’s smoke and carbon monoxide alarm, sounds an alert when it detects high levels of CO, and then warns us of the location of the danger. It’s no wonder that Google acquired Nest Labs for a whopping $3.2 billion! Other companies like Canary offer connected smart home security systems that are now a part of a growing trend: using IoT technology to create safety solutions to protect what’s most valuable to us.

Construction of GSM based home security alert system using passive infrared sensor

Construction of GSM based home security alert system using passive infrared sensor

Construction of GSM based home security alert system using passive infrared sensor

Security challenges in Nigeria specifically and the world everywhere have become the best difficulties of man in the ongoing occasions, because of the rising paces of wrongdoings like robberies, theft, seizing, executing and furnished burglary. The point of this undertaking was to develop a GSM based home security alert system, that will be fit for identifying an interloper, send ready message to mortgage holder, and initiate a bell caution. The security ready framework has been effectively built utilizing a uninvolved infrared (PIR ) sensor. Arduino microcontroller was utilized to interface between the PIR sensor (input) and the GSM/buzzer (yield) gadgets. The PIR sensor was proposed to recognize the nearness of human and convert the identified sign into electrical voltage signal. The arduino uno was to process the flag and send directions to GSM module and buzzer, at the same time. The developed gadget was tried by enabling human to move before the PIR sensor and the GSM module sent an instant message to the mortgage holder, that there is an intruder, while the ringer sounded simultaneously, affirming its usefulness.

IMPROVING HOME SECURITY USING BLOCKCHAIN

The major problem with the use of smart home technology is that it often leads to various security issues. This mainly happens because the devices use open internet connections that may be vulnerable and subjected to multiple threats, hackers, and viruses. Some household IoT devices are forcefully introduced to the market, exposing the customers to significant risk factors. The websites and links do not have any copyright information or any privacy policies, due to which the hackers may immediately steal the confidential information of the user. For instance, the door locking password may be hacked by cyber criminals, and they may use it to attack the home when there is nobody in the home. This paper presents how to use block-chain to improve home security.

Smart Home: Deep Learning as a Method for Machine Learning in Recognition of Face, Silhouette and Human Activity in the Service of a Safe Home

Despite the general improvement of living conditions and the ways of building buildings, the sense of security in or around them is often not satisfactory for their users, resulting in the search and implementation of increasingly effective protection measures. The insecurity that modern people face every day, especially in urban centers regarding their home security, led computer science to the development of intelligent systems, aiming to mitigate the risks and ultimately lead to the consolidation of the feeling of security. In order to establish security, smart applications were created that turned a house into a Smart and Safe Home. We first present and analyze the deep learning method and emphasize its important contribution to the development of the process for machine learning, both in terms of the development of methods for safety at home, but also in terms of its contribution to other sciences and especially medicine where the results are spectacular. We then analyze in detail the back propagation algorithm in neural networks in both linear and non-linear networks as well as the X-OR problem simulation. Machine learning has a direct and effective application with impressive results in the recognition of human activity and especially in face recognition, which is the most basic condition for choosing the most appropriate method in order to design a smart home. Due to the large amount of data and the large computing capabilities that a system must have in order to meet the needs of a safe, smart home, technologies such as fog and cloud computing are used for both face recognition and recognition of human silhouettes and figures. These smart applications compose the systems that are created mainly through “Deep Learning” methods based on machine learning techniques. Based on the study we have done and present in this work, we believe that with the use of DL technology, the creation of a completely safe house has been achieved to a large extent today, covering an urgent need these days due to the increase in crime.

Perancangan Sistem Pemantau Keamanan Rumah Dengan Sensor Pir dan Kamera Berbasis Mikrokontroler dan Internet Of Things (Iot)

The recent increase in crime is wrong a result of the economic crisis. Especially during the Covid-19 outbreak, people's economic activities were limited. Apart from the health sector, the Covid-19 outbreak has affected the economic sector, especially the sustainability of activities and income. The impact of the Covid-19 pandemic has led to a potential increase in crime due to economic demand pressures, in 2020 the number of theft and theft with violence in households is 1,628,634. This final project aims to design a Home Security Monitoring system with Pir Sensors and Microcontroller-Based Cameras and the Internet of Things using the ESP32-CAM type as a microcontroller for the control center. The PIR sensor functions to send notifications to users when it detects movement, then the OV2640 camera will take photos and videos and then send the results to the operator via smartphone using the Telegram bot application to monitor activities at home. This test results that the maximum distance that can be detected by objects is 6 meters. Testing the entire system that has been carried out proves that the system is able to work in detecting, recording and sending the results to the user. The time required for sending object detection photos and videos is 4.7 seconds and 40.7 seconds.

LAMARAN (KHITHBAH) DALAM PERNIKAHAN PERSPEKTIF PENDIDIKAN ISLAM

The values of Islamic education are the development of the human mind and the arrangement of behavior and emotions based on Islamic teachings. Thus, Islamic education's values will provide humans with happiness, welfare and human safety both in this world and in the afterlife.
 According to the Islam viewpoint, everyone must prepare themselves as well as possible to build a relationship based on love and noble values. Physical, mental, and economic preparedness is required; in this situation, in terms of the educational features inherent in Islamic teachings, the objective is to build a secure, pleasant, and tranquil home environment.

The Impact of Privacy Control on Users' Intention to Use Smart Home Internet of Things (IoT) Services

Despite the diverse benefits of smart home Internet of Things (IoT) services, the biggest obstacle to the actual usage of those services is concern about privacy. However, little research has investigated the impact of privacy control on users’ intention to use smart home services. Based on communication privacy management theory and privacy calculus theory, this study investigates how privacy control options affect users’ perceived benefits and costs and how those perceptions affect individuals’ intentions to use smart home services by conducting an experiment. Our results showed that smart home privacy control options decreased perceived benefits and increased perceived costs. The perceived benefits and costs significantly affected the intention to use smart home security services. More intriguingly, the effect of perceived benefit was found to be stronger than that of the expected cost. This research contributes to the field of IoT and smart home research and provides practitioners with notable guidelines.

Automation of Home Essentials using IoT

As humans, we tend to leave the fans and lights ON while leaving the room which consumes a lot of electricity without our knowledge. To reduce electricity consumption and provide comfortability, an attempt is made to automate the home essentials using the IoT. IoT technology has a huge potential to take over the control of home appliances in the coming years. IoT technology will help control home appliances through a mobile device. By automating the home appliances, saving and tracking the usage of electricity would become easier. This paper aims at providing an insight into how IoT, Computer Vision, and commercial off-the-shelf circuit boards like Raspberry Pi and sensors could be interconnected and used to control the home appliances being away from home. Home security systems could also be integrated with the developed system to monitor and secure the house from a remote place. Key Words: IoT, Raspberry Pi, Home appliances, sensors, mobile device.