Home Security Research Articles

Home Surveillance and Alert System using Raspberry Pi Zero W and GSM Modem with MQTT Protocol

Today’s modern era has made it essential for everyone, even for the privacy of their homes, to have controllable, affordable, and easy-to-use security systems. The creation of a cost-effective, straightforward, and feature-rich home security alarm system using a Raspberry Pi Zero W microprocessor and MQTT protocol is discussed in this paper. The proposed system is primarily intended for outlying areas with limited or insufficient network bandwidths. Together with sensors such a PIR (passive infrared sensor), sound sensor, gas leakage sensor, obstacle/proximity sensor (vibration sensor), fire/flame sensor, GSM module, and a surveillance pi camera, it makes use of a Raspberry Pi Zero W as a microprocessor. [1]. In addition, the system will promptly alert the homeowner through phone calls, SMS, or mail anytime it senses the presence of an intruder or other safety hazards. Hence, anyone who wants to make their space (bank, home, workplace, jewelry shops, and cabins) safe and to protect themselves from theft and infiltration can use this system at a fair price.

LITERATURE REVIEW : SMART HOME BASED ON IOT FOR SECURITY SYSTEM

Security is an important aspect that must be considered from a house, building, and environment. The purpose is to avoid various types of crime such as theft and robbery that can cause loss. In various regions in Indonesia, the rate of theft and robbery is still high, so a good security system is needed so that cases of theft and robbery can be avoided as early as possible. In the era of technology that is developing so rapidly nowadays, there are many breakthroughs in security systems for homes, buildings, and environments that utilize technology, one of which is a security system based on IoT (Internet of Things). In this paper will focus on reviewing the concepts applied by several previous papers relating to security systems for homes, buildings and the environment. Then the results of the review can obtain appropriate and relevant concepts to be applied for home security systems with minimal internet network conditions.

Bicycle Protection System Using GPS/GSM Modules аnd Radio Protocol

Bicycle security systems have not developed as much as home security, and it is difficult to find competitive examples when researching the market. Many security systems on the market have weaknesses that can be bypassed or are not convenient to use. The technologies used to protect bicycles are rather uniform, predictable and not reliable. Most of such systems do not have convenient means of monitoring, such as, for example, a mobile application. Improvement of these systems, introduction of new technologies is very relevant in the field of bicycle protection. This is due to the unpopularity of these systems, their unreliability and lack of control over the phone. The majority of bicycle users are inclined to use proven methods – bicycle locks. But this decision is wrong.The system with GPS is so easy not to be deceived – it has more than one level of protection, and quickly warns the user about a threat. It has deterrents and means of attracting the attention of others.In addition, the use of GSM technology facilitates the possibility of control through a mobile application, which simplifies work with the system.Using GPS is the best way to monitor the position of the bicycle in space, and to track movement in unpredictable circumstances. GPS opens a number of possibilities and increases the functionality of the system. From monitoring the situation of the protection object to collecting statistics].The GSM module is almost never used in bicycle security systems. This is due to the concept of bike guarding, which says why use the ability to transmit data to any corner of the world if the user does not move more than 100 meters from the guarded object. But this concept is wrong. GSM is one of the fastest solutions among analogs. But transmission speed is not the only criterion for information transmission in wireless systems.Since the bicycle is a moving object, and the security system must be wireless, an important criterion for the functioning of such a system is the operating time.This article deals with the problem of protecting a moving object, using GSM and GPS modules. The main features of existing systems in this area, their advantages and disadvantages are shown. The advantages of using a radio protocol for bicycle protection are given. A model of the system that meets the needs of the user has been developed.

Design and Implementation of Home Video Surveillance Systems Based on IoT Location Service

Due to its simplicity, directness, and rich content, home video surveillance has gradually become the core content of the smart home security system. The rapid development of computer technology, the internet, video image processing, and transmission technology, as well as the emergence of “wireless cities,” have continuously expanded the coverage of wireless internet such as 5G and WiFi and greatly changed data processing methods and transmission speeds. Video surveillance has also gradually developed from traditional wired networking to mobile video surveillance of wireless networks. Therefore, this paper will focus on the design of the home video monitoring system based on the IoT location service. The system combines traditional network video surveillance with intelligent mobile terminals, which can meet the needs of users for video surveillance of home conditions at any location and at any time. And it compared the sensitivity, accuracy, capture time interval, and energy consumption of the two by comparing with traditional internet video surveillance.

Best Machine Learning Model For Face Recognition in Home Security Application

Particularly since the COVID-19 outbreak, Indonesia has seen an annual surge in criminal prosecutions. To increase home security, many technological advances have been made. Face recognition served as the main form of security for almost all of them. Face detection, face segmentation, and face recognition are the three steps in the face recognition process. To avoid misclassification and increase system dependability, accurate recognition of faces becomes crucial in security systems. The optimization tool Grid Search CV produces using a number of machine learning methods that are proposed. Each machine learning has been created using its best model and has attained accuracy levels of at least 90%. The most effective strategy is SVM, which has 100% accuracy rates. A technique for choosing the best model is an alternative. The computation time will be compared to that of more complex systems before these results are eventually communicated to the real system

Social media analytics for mining customer complaints to explore product opportunities

This research develops a social media analytics (SMA) methodology to analyze product complaints from social media for exploring product opportunities. The methodology contains the following steps. Sentiment analysis is used to select negative posts that contain customer complaints related to unsatisfactory products. The latent Dirichlet allocation (LDA) topic modeling technique is applied to extract latent topics from the negative posts. Then, a new opportunity evaluation framework for handling consumers' complaints is developed to discover important and emerging product topics. Topic engagement analysis based on user engagement indicators is used to measure how well the user attention to each negative topic, while topic emergence analysis based on the generalized linear mixed model (GLMM) is to measure the topic emergence level. Further, this research formulates a new product strategy map that prioritizes negative topics for developing product improvement strategies. Finally, KeyGraph based on the chance discovery theory is applied to further explore product opportunities based on less frequent but important terms in the collected textual data for enhancing consumer experience. A smart home application is used as a case study. Ten topics are extracted and several critical topics are identified, such as “after-sales services”, “home security systems“, and ”media streaming devices“. In addition, through KeyGraph analysis, several product strategies are recommended, including offering quality after-sales services, increasing product and service reliability, and providing seamless integration of various home devices. The developed methodology can help firms discover critical product topics and provide insightful information for developing product improvement strategies.

Iot Based Home Security System Using Arduino

As home security has become an important aspect in life and is necessary to be in every home due to the rising crime rates and robbery that is happening in out day to day life. In this work in progress paper we evaluate an application of home security system using Arduino. This project is based on the implementation in the IOT domain home security system which will allow to make homes secure from anywhere in the world. The main objective of this project is it should be cost effective and at the same time also secure, and this can be achieved by the use of IOT devices and other low cost electronic components and using them in such a way to build a secure home security system. This project was remove some of the limitations in the previous home security system applications. Home security is very useful application of the IOT domain and we will be using it to build a low cost security system that can be affordable by almost everyone.

GSM and Arduino based Smart Home Safety and Security System

GSM and Arduino based Smart Home Safety and Security System

Zigbee Based Wireless Home Security System

Zigbee Based Wireless Home Security System

Insecure Housing and the Ongoing Search for Ontological Security: How Low-Income Older Women Cope

ABSTRACT The paper examines how people experiencing persistent housing insecurity hold on to or restore ontological security. Conceptually it recognises ontological security as an “ongoing accomplishment” that is “actively sought”, and introduces four coping constructs theorised by Giddens as ways that individuals cope with persistent threats to security. The domestic practices of low-income, single older women living in various forms of insecure housing in Australia are the focus. The paper identifies “emotion-focused” and “action-focused” strategies through which women sought ontological security, including efforts to mentally accommodate insecurity, tenancy practices, through which they engaged with housing risk, and the use of storage facilities as holding sites of identity and routine. These strategies resonate with and extend Giddens' four coping constructs to the housing field, reflecting pragmatic acceptance of housing risk, sustained optimism in the face of housing risk, cynical pessimism, and engagement with housing risk. The paper reveals dynamic and fraught relations between home and ontological security that are frequently an exercise in cruel optimism.

Burgler Alarm Using IOT

Abstract: IoT refers to the structure of connected physical bias which is growing at a rapid-fire rate as a huge number of biases and objects are getting associated with the Internet. The Internet of effects can prove that technology has fleetly evolved. currently, the operation of the internet had been extensively used around the world. still, as technology advanced the need for home security systems using the Internet of effects had come more pivotal. Home security is a veritably useful operation of IoT and we're using it to produce an affordable security system for homes as well as artificial use. Besides that, the current home security system on the request was too precious due to the complexity of the bias which occasionally used a precious microcontroller or microprocessor. The Purpose of this trouble was to develop all of the Burglar Alarm system factors which were preliminarily linked and specified as a result of the system design phase conducted earlier . After a brief preface, an executive summary of the results of the development effort is presented . this is followed in a complete description of the overall Burglary Alarm System (BAS), It’s installation , operation, and the tackle details of each of the Individual Subsystems. The test proves that this system is dependable with low- cost, so it can be extensively applied to ultramodern places.

WORKSHOP PENGGUNAAN MIKROKONTROLER BAGI GURU DI SMK NEGERI 1 KLATEN

Vocational High School is one of the educational institutions that is responsible for creating human resources who have the ability, skills and expertise, so that graduates are ready to enter the world of work. SMK Negeri 1 Klaten, Central Java, especially lecturers in the department of computer and telecommunications network engineering, has the hope that it is necessary to explore the material and develop learning in the practical use of the Arduino microcontroller. The purpose of this activity is to implement the use of microcontrollers on devices that require automatic controllers such as machine controllers, IoT relay control, home security systems, and also other electronic equipment. The PKM activity method is carried out in stages: observation & requirements analysis, communication & dialogue, workshop, and evaluation. As a result of this activity, the workshop participants participated actively and looked enthusiastic in the activity by diligently asking questions. In the evaluation of the workshop, the results of the practicum were obtained: 75% of the participants succeeded well, and 25% of the participants with good enough results and were able to carry out the practicum independently.

FUNCTIONAL DISABILITY INVENTORY AND ASSOCIATIONS WITH RACE, ETHNICITY, INCOME AND FOOD INSECURITY

Abstract PURPOSE Inflammatory bowel disease (IBD) is an autoimmune disease that consists of Crohn’s Disease (CD) and ulcerative colitis (UC). Food insecurity is defined as limited or uncertain access to enough food. It is estimated that 1 in 7 children in the United States experience food insecurity or about 13 million children. Louisiana has one of the higher rates of food insecurity in the country with over 249,000 children affected. Food insecurity has been associated with worse health outcomes in children including developmental risks, poor mental health, and poor educational outcomes. Functional Disability Inventory (FDI) is a measure of limitations in both physical and psychosocial functioning secondary to physical health. Our hypothesis is that patients in food insecure homes will have higher FDI scores compared to those in food secure homes. METHODS This study is a prospective study of newly diagnosed IBD patients seen by the Division of Pediatric Gastroenterology at Children’s Hospital of New Orleans. Patients were screened for food insecurity using the United States Department of Agriculture’s food insecurity screening questionnaire and the American Academy of Pediatrics’ Food Insecurity 2-Question Screen. Disability scores were obtained at diagnosis using the FDI self-reporting questionnaire if older than 12 years of age or a parent form was completed for patients less than 12. RESULTS Our study consisted of 20 newly diagnosed pediatric IBD patients with an average age of 14.5 years. Nineteen (95%) patients had CD. Most patients were female (70%), non-Hispanic white (50%) with Medicaid (55%) as their primary insurance. Eight (40%) patients were African American and two (10%) were listed as other. Eight patients or their caregivers identified as living in a food insecure home (40%) and these patients averaged a FDI score of 10.2 The food secure group had an average FDI of 9.3. Non-Hispanic, white patients had an average FDI score of 10.5 while the minority patients had an average FDI of 8.5. Only two patients lived in an area with a median household income below poverty with an average FDI of 15.5. Ten patients lived below the state median income and had an average FDI was 8.2. Those patients living in areas above the state median income level, 8 total, had the highest FDI scores, 10.8. CONCLUSION Food insecurity had higher rates of disability scores compared to families from food secure homes. Families in higher income areas and who were non-Hispanic white had higher FDI scores compared to minority patients and those in lower income areas. Further data will be collected with changes in FDI through the first 6 months of diagnosis. Additional larger studies are needed to determine a relationship between FDI scores and food insecurity in pediatric IBD.

Metal Oxide Gas Sensors to Study Acetone Detection Considering Their Potential in the Diagnosis of Diabetes: A Review.

Metal oxide (MOx) gas sensors have attracted considerable attention from both scientific and practical standpoints. Due to their promising characteristics for detecting toxic gases and volatile organic compounds (VOCs) compared with conventional techniques, these devices are expected to play a key role in home and public security, environmental monitoring, chemical quality control, and medicine in the near future. VOCs (e.g., acetone) are blood-borne and found in exhaled human breath as a result of certain diseases or metabolic disorders. Their measurement is considered a promising tool for noninvasive medical diagnosis, for example in diabetic patients. The conventional method for the detection of acetone vapors as a potential biomarker is based on spectrometry. However, the development of MOx-type sensors has made them increasingly attractive from a medical point of view. The objectives of this review are to assess the state of the art of the main MOx-type sensors in the detection of acetone vapors to propose future perspectives and directions that should be carried out to implement this type of sensor in the field of medicine.

Development of a model for the analysis of human behavior in a smart home environment

In modern times, it is impossible to imagine people’s lives without information technologies. The Internet, mobile phones, remotely controlled devices designed to perform various operations have become ordinary for people. Concepts such as smart city, smart home, cyber-physical systems and cloud technologies become an integral part of the information society. The concept of a smart home can be seen as an environment equipped with sensors, cloud computing and user directives. A smart home works on the principle of collecting all information about the house and its inhabitants from the bottom up, that is, sensors monitor all the behavior of people in and around the house. The data collected in these sensors is collected and processed to identify and predict daily life activities of the people in the house. Evaluating and predicting human behavior in a smart home environment is both interesting and important in studying society, managing e-government and ensuring its security. The article studies the approaches related to the analysis of human behavior in the smart home environment, the influence of cyber-physical systems on the behavior analysis, and the role in the formation and functionality of smart homes. It defines existing problems related to the security of smart homes, and proposes a new model for analyzing human behavior based on the sensed data. The model reveals the main features of each citizen’s behavior and allows for a more in-depth study of the socio-political and economic processes taking place in the society.

Location Adaptive Motion Recognition Based on Wi-Fi Feature Enhancement

Action recognition is essential in security monitoring, home care, and behavior analysis. Traditional solutions usually leverage particular devices, such as smart watches, infrared/visible cameras, etc. These methods may narrow the application areas due to the risk of privacy leakage, high equipment cost, and over/under-exposure. Using wireless signals for motion recognition can effectively avoid the above problems. However, the motion recognition technology based on Wi-Fi signals currently has some defects, such as low resolution caused by narrow signal bandwidth, poor environmental adaptability caused by the multi-path effect, etc., which make it hard for commercial applications. To solve the above problems, we first propose and implement a position adaptive motion recognition method based on Wi-Fi feature enhancement, which is composed of an enhanced Wi-Fi features module and an enhanced convolution Transformer network. Meanwhile, we improve the generalization ability in the signal processing stage to avoid building an extremely complex model and reduce the demand for system hardware. To verify the generalization of the method, we implement real-world experiments using 9300 network cards and the PicoScenes software platform for data acquisition and processing. By contrast with the baseline method using original channel state information(CSI) data, the average accuracy of our algorithm is improved by 14% in different positions and over 16% in different orientations. Meanwhile, our method has best performance with an accuracy of 90.33% compared with the existing models on public datasets WiAR and WiDAR.

A Survey of User Perspectives on Security and Privacy in a Home Networking Environment

The security and privacy of smart home systems, particularly from a home user’s perspective, have been a very active research area in recent years. However, via a meta-review of 52 review papers covering related topics (published between 2000 and 2021), this article shows a lack of a more recent literature review on user perspectives of smart home security and privacy since the 2010s. This identified gap motivated us to conduct a systematic literature review (SLR) covering 126 relevant research papers published from 2010 to 2021. Our SLR led to the discovery of a number of important areas where further research is needed; these include holistic methods that consider a more diverse and heterogeneous range of home devices, interactions between multiple home users, complicated data flow between multiple home devices and home users, some less studied demographic factors, and advanced conceptual frameworks. Based on these findings, we recommended key future research directions, e.g., research for a better understanding of security and privacy aspects in different multi-device and multi-user contexts, and a more comprehensive ontology on the security and privacy of the smart home covering varying types of home devices and behaviors of different types of home users.

Design and Construction of a Micro Controller Based Smart Automated System for Controlling Various Home Appliances

Smart Home Automated System is an inexpensive technology. This study presents the overall design of Home Automation System (HAS) with low cost and wireless system. This system is designed to assist and provide support in order to fulfill the needs of elderly and disabled in home. Also, the smart home concept in the system improves the standard of living at home. The sensors, relays and web browser are used to control the home appliances. The main control system implements wireless technology to provide remote access from smart phone. The design removes the existing electrical switches and provides more safety control on the switches with low voltage activating method. The system intends to control electrical appliances and devices in house with relatively low cost design, user- friendly interface and ease of installation. Alternatively, SMART HOME AUTOMATED SYSTEM can provide higher level of security and convenience compared to traditionally used systems. The main objective of the current paper is to design and implement cost-efficient and reliable security, safety and automatic home system for protection and occupants’ convenience. If any hazard is being sensed like smoke, excess heat, unauthorized movements etc; the system warns the home-owner in real-time using Short Message Service (SMS). With this project, home appliances can also be controlled within and away from home, at the same time gives access to real time monitoring of the appliances and properties.

Home Surveillance System Based on Internet of Things and Thermal Sensors

A home security system's primary purpose is to protect and monitor areas that are vulnerable to intruders. The cameras can continuously monitor location; however, it’s had drawbacks such as high installation costs, significant electricity consumption, high memory space utilization of the recording system, and complexity of the hardware circuits, in low light condition it need a night vision camera to obtain clear images. The purpose of the research, is to develop a prototype of surveillance system that uses the PIR sensor and night vision camera to detected intruder in low light condition. The methodology used in this research is prototyping. It started with objectives determination of surveillance system, develop, refine and demonstrate the hardware and software, testing and implement the system. The Arduino Board, programmable Arduino IDE microcontroller, battery, RF module, camera, WIFI module, NodeMCU and PIR sensor are all included in this prototype. An application will be loaded on the user's android device, which will be utilized as the security system monitoring and controller. The WIFI module allows remote control by connecting the system to the internet via the cloud. A PIR sensor will be used to monitor the temperature around for the detecting the presence of human. If the sensor detects the thermal imaging, it will trigger the night vision camera to record. The result of the system testing, shows that the system was working perfectly. The testing on camera operability shows that the night vision camera gets a clear image at maximum 10 m. The limitations of this system are unable to detect the thermal objects at more than 10 m clearly. This weakness can be improved by more complete hardware in future research.

Design and Implementation of a Smart Surveillance Security System

Home security is essential for occupant’s conveniences and protection. This research project designed and implemented a comparatively inexpensive smart surveillance security system that automatically captures an intruder’s image through a raspberry pi camera module and PIR sensor and sends mail to the user via Wi-Fi using the users registered email address. This system operates by triggering the Pi Camera through Raspberry Pi whenever an intruder comes in range using PIR sensor. The Pi camera will capture the image, save it and send the image of the intruder via mail to the user through the help of the command codes embedded in the Raspberry pi microcontroller. This research project will enable home/supermarket and office owners to secure their facilities and monitor the activities of their employers at any location at cheaper cost which is the earnest desire of an Engineer. Proteus 2022 was used as the simulation tool. Keywords: Security, Spy camera, Raspberry pi, IOT, smart security system.