Smart Door Research Articles

Security and Privacy Investigation of Wi-Fi Connected and App-Controlled IoT-Based Consumer Market Smart Light Bulbs

Since its invention, the Internet has changed the world, but above all, it has connected people. With the advent of the Internet of Things, the Internet connects things today much more than people do. A large part of the Internet of Things consists of IoT controlled Smart Home devices. The Internet of Things and the Smart Home have become an increasingly important topic in recent years. The growing popularity of Smart Home devices such as Smart TVs, Smart Door Locks, Smart Light Bulbs, and others is causing a rapid increase in vulnerable areas. In the future, many IoT devices could be just as many targets. The many new and inexperienced manufacturers and the absence of established uniform standards also contribute to the precarious situation. Therefore, new methods are needed to sensitize and detect these threats. In this paper, different existing approaches like those of the National Institute of Standards and Technology (NIST) and the Open Web Application Security Project (OWASP) are combined with concepts of this work like the Smart Home Device Life Cycle. In the context of this paper, a universal 31-page question-based test procedure is developed that can be applied to any Smart Home device. Based on this new, innovative security checklist, the communication between device, app, and the manufacturer's servers, as well as the firmware of IoT devices, can be analyzed and documented in detail. In the course of this paper, also a handout in the abbreviated form will be created, which serves the same purpose.

Towards Integration of Heterogeneous Controllers in an IOT-based Automation System

Heterogeneous controllers (such as: various brands of PLCs and microcontrollers), are existed in an automated system. This research propose a framework to integrate them by using NodeRed, an open source project to gather various devices and services in an IOT setting. The research framework was applied successfully in three cases: a smart home prototype for elderly, a smart door using face recognition method, and an automated system for multiple houses in separated locations.

Smart Door System Prototype with a Control Based on Biometric Palmprint and the Internet of Things

Safety is important in terms of comfort and security in a home, because a house is a place where people live and store valuable items. However, conventional keys that are widely used today are still vulnerable to break-ins. Therefore, a reliable and qualified security system is needed to safeguard a person’s home. To overcome this problem, this study proposed a security system to access the door of a house to maintain the home’s security. This door access security system is based on Palmprint, in which a certain line on a person’s palm is used to open the door and gain access into the house. Palmprint is supported by the Internet of Things system so that residents can remotely control and access the door lock. The use of biometric authentication will replace a conventional key so that the door will only be opened if the lines on the palm of the hand can be identified in accordance with the data registered by the owner. If a burglary occurs or if the lock is forced, the system will notify the residents of the house through their Palmprint application. The results show that the network system works optimally in the Line of Sight scenario with a distance of 5 meters, and it produces a data delay measuring 0.255436 s; moreover, a throughput of 8825,933 bytes/s is obtained from end-to-end testing of the total system in the 5 meter Line of Sight scenario with a total average delay of 0.570077 s and an average throughput of 11776.27 bytes/s.

Exploiting the Remote Server Access Support of CoAP Protocol

The constrained application protocol (CoAP) is a specially designed Web transfer protocol for use with constrained nodes and low-power networks. The widely available CoAP implementations have failed to validate the remote CoAP clients. Each CoAP client generates a random source port number when communicating with the CoAP server. However, we observe that in such implementations it is difficult to distinguish the regular packet and the malicious packet, opening a door for a potential off-path attack. The off-path attack is considered a weak attack on a constrained network and has received a less attention from the research community. However, the consequences resulting from such an attack cannot be ignored in practice. In this article, we exploit the combination of IP spoofing vulnerability and the remote server access support of CoAP is to be launch an off-path attack. The attacker injects a fake request message to change the credentials of the 6LoWPAN smart door keypad lock system. This creates a request spoofing vulnerability in CoAP, and the attacker exploits this vulnerability to gain full access to the system. Through our implementation, we demonstrated the feasibility of the attack scenario on the 6LoWPAN-CoAP network using smart door keypad lock. We proposed a machine learning (ML)-based approach to mitigate such attacks. To the best of our knowledge, we believe that this is the first article to analyze the remote CoAP server access support and request spoofing vulnerability of CoAP to launch an off-path attack and demonstrate how an ML-based approach can be deployed to prevent such attacks.

Integrated smart door system in apartment room based on internet

Internet of Things (IoT) is technology which provides communication between machines without human intervention. There are many applications that implement IoT technology e.g. smart power, smart home, transportation management, and smart city. This paper proposes the usage of IoT to develop electronic key that can help to improve the security in apartment. Electronic key uses Android smart phone to access and control the door. Electronic key uses Raspberry pii, motor DC, webcam, microswitch, and Arduino GSM. Raspberry is used to get command from server and instruct the Arduino GSM to open or close the door and webcam is used to take picture from the environment for documentation. This research uses three steps to verify the user who want to open or close the door i.e. using username and password, bluetooth, and QR code scanner.

Rancang Bangun Sistem Keamanan dan Pemantau Tamu pada Pintu Rumah Pintar Berbasis Raspberry Pi dan Chat Bot Telegram

Security Systems and Guest Monitoring Prototypes on smart doors Based on Raspberry Pi and Telegram Chat Bot. Current technology is developing so rapidly that it can be used to help people carry out daily tasks at home by designing devices that can be controlled remotely (remote control) so as to create a dream home with increased comfort and safety of residents. This study aims to design a tool for monitoring guests equipped with a security system using the Raspberry Pi microprocessor to process data to be sent to Telegram Chat Bot. Data sent to the Chat Bot Telegram will later be accessed by a smartphone in the form of a guest image taken by a raspberry pi camera. This tool has two modes namely the smart mode that is used to take pictures of guests when a guest presses the bell button and the safe mode is used to take pictures of people who are at the door automatically using a PIR sensor. The results showed that the PIR sensor with maximum sensitivity can detect objects well within a maximum distance of 5 m, the Raspberry Pi camera can take pictures with good quality up to 11m distance and testing on the Chat Bot runs well, all commands have been tested and provide information in the form reciprocal chatter. This prototype allows homeowners to see guests or people at the door through a smartphone in real time.

Design of Smart Door Closer System with Image Classification over WLAN

A dual purpose system is presented in this paper which serves not only as a door closer, but is equally effective for surveillance purposes. The currently deployed surveillance systems store a large amount of data, thereby consuming large memory spaces. The novel feature illustrated in this paper is that object identification and classification is performed for a desired area, along with controlled access. This system uses a neural network based learning algorithm before providing any instruction for the hardware. The system is innocuous except when object is identified in the surrounding area through motion detection and facial recognition techniques, thereby preventing large storage of unclassified video frames. In idle conditions, the system will work only as a surveillance system with object detection classifiers. The results can be stored on remote server for backup for security purpose.

SUPPORTING AGING IN PLACE WITH THE INTERNET OF THINGS: MEETING CHALLENGES OF USE THROUGH AUGMENTED REALITY TOOLS

Internet of Things (IoT) devices (including smart thermostats, lightbulbs, and door locks) have the potential to greatly enhance independence and promote aging-in-place among older adults with mobility disabilities. However, these devices require extensive information technology expertise to select, configure, use, and adapt to meet one’s needs and this creates considerable barriers to their adoption, acceptance, and utilization. Meanwhile, increasingly available consumer augmented reality (AR) technologies can enable individuals to experience how IoT function and are used within the context of one’s own abilities and home. This may provide potential users an effective means of overcoming barriers to adoption, acceptance, and utilization of IoT to support aging in place. We present preliminary results from a participatory design study of older adults with mobility disabilities on the use of AR on a smart phone device to support IoT understanding.

Hardware and User Perspective Assessment on Application of Smart Door Access

Nowadays, applications of technology in various aspects of human life have been widely adopted. This increasing application relies on the degree of technology involvement, which supports an interconnected communication among resources available in the location. Smart room is a room equipped with technology where electronic devices contained in it can connect and communicate with each other so that it becomes a system that can be controlled thoroughly. One part of the smart room is the door. The door can be accessed using a variety of technologies. some of them are RFID tag technology, PIN code, Fingerprint technology, and Infrared sensor technology. This study discusses the satisfaction of smart room users about the time, distance and technology used. System 1 uses RFID tag technology, and Infrared sensor, and on system 2 uses RFID tag technology, PIN code, Fingerprint technology, and Infrared sensor technology. The time used is 10 seconds on system 1 and 3-6 seconds on system 2 is considered sufficient. The distance of around 3.5 -4.2 is also considered quite good and is also considered to be close. The use of RFID tag technology, PIN code, Fingerprint technology for incoming access and Infrared sensor technology for outgoing access is considered appropriate. Respondent satisfaction in system 1 was around 79% and in system 2 around 74%. System 1 is the most desirable technology, then system 2, then the door with conventional locking.

Raspberry Pi(3 b) based Smart Door

Raspberry Pi(3 b) based Smart Door

RANCANG BANGUN SMART DOOR LOCK MENGGUNAKAN QR CODE DAN SOLENOID

Smart Door Lock is a development of home door lock or padlock conventional manual. This study aims to create an alternative technology at home by utilizing key technologies readily available. This study uses an Arduino Uno microcontroller as the brains of the solenoid, and Android as controller QR Code reader. QR Code reader on Android run using a third party application that is Barcode Scanner. Arduino programming is done using the Arduino IDE. Bluetooth HC 05 is used to connect a barcode scanner app on Android with Arduino. Testing tool is run on Jelly Bean Android platform and the hardware and software components can be run properly. The results of the studies described in the form perncangan home door lock tool automatically uses the QR Code with Barcode Scanner app and Arduino as a control solenoid.

Revealing household characteristics using connected home products

Recent technological advances have helped make our homes more intelligent and responsive to our needs. In this context, analyzing data from smart home products to gain insights is becoming increasingly important. This paper proposes an analytical framework to reveal the characteristics of households using event logs from smart door lock systems. The analytical framework uses constraint satisfaction problems to enable streaming event log analysis to solve the problems of overlapping classes and a lack of information concerning the truth class. The proposed method was applied to two datasets: one consisting of door-lock log data from 40 households and the other of time-use survey data from more than 10,000 households in South Korea. The results verify its effectiveness in terms of estimating the number of occupants in a household. The performance of the proposed method was compared with that of a naïve clustering approach in terms of mean squared error.

Face Recognition Using OpenCv Based On IoT for Smart Door

Automated embedded systems have made a lot of progress in today’s world. The significance of such system in applications like surveillance, private security has been proven to be very effective. This paper discusses a face recognition system which is designed and implemented for doors resulting in smart doors based on IoT. The paper intends to provide the information to the user using open source technology which comprises of OpenCV2, LBPH algorithm, SMTP, raspberry pi3,pi camera. The implementation area is categorized more on local level like home, offices and campus. The system provides real time face detection and recognition once the bell is triggered. The captured image is analyzed with the available database and if it is a match, the access is granted and door will open. On the contrary if the face did not match the captured image is then sent to the user mail using SMTP. The system will then wait for the response from user within stipulated time with appropriate message. The message is retrieved on raspberry pi using IMAP. Based on the retrieved message context either access will be granted or denied. The sys-tem is acting as a base station. The wireless communication is achieved using SMTP and IMAP. The aim of the system is to develop a real time face recognition model having low cost solutions in security.

Wireless Smart Automation Using IOT Based Raspberry Pi

In this paper we proposed a smart door lock system and lighting system for home automation. This door lock system and lighting system is controlled by Radio Frequency Identification (RFID) reader which is programmed by Raspberry Pi to detect the inpu

English

English

Recent developments on driver’s health monitoring and comfort enhancement through IoT

At present, many automakers are paying attention to develop vehicles with IoT enabled including healthcare, accident prevention, vehicle safety, driver safety, driver and passenger comfort, vehicle monitoring, etc. This paper focused on reviewing the recent developments in driver’s health and comfort monitoring through IoT. The literature review was performed with popular search engines/databases like PubMed, ScienceDirect, Elsevier Science, Scopus, and Google Scholar. The search was based on keywords like “Healthcare Monitoring”, “Seating Comfort”, “IoT developments”, “Smart Sensing”, “Embedded Sensors”, “Wearable Sensors”, “in-vehicle smart assistance”, “Autonomous Vehicle/Car”. Later, the articles were sorted out according to the relevance of this paper’s focus (i.e., driver’s health and comfort monitoring through IoT) by reading title, abstract, and full article. The results show that there have been many IoT based health and comfort monitoring developments concerning the vehicle. We have classified and summarised the developments as health monitoring through seat pan, seat back, seat belt, steering wheel, eye tracking and face tracking, and comfort monitoring/enhancement through smart seating, smart seat cushion, smart door module, smart air-bag, smart seat belt buckles. This survey would be giving in-depth knowledge on recent developments in the field of automotive and IoT.

PERANCANGAN SMART DOOR LOCK MENGGUNAKAN VOICE RECOGNITION BERBASIS RAPBERRY PI 3

The server door is the main access to enter the server room. Currently the door lock on the server room is still done manually using the physical key as a tool to open or lock the door. Physical keys are easily lost or left behind which results in the officer not being able to enter the server room. This resulted in the officer can not access the server. Based on these reasons, the server door is integrated with a computer system that can unlock the door using voice recognition to unlock the server door. Voice recognition is able to identify a person through his voice. Voice recognition is divided into 2 parts namely speech recognition and speeker recognition. Meanwhile, the authors use the speech recognition section to open thedoor server door lock. Where, speech recognition can identify what is spoken by someone. The design of this tool is made using Raspberry pi 3 as the processing center and ULN2803 as ic to increase the voltage so that it can move the solenoid that serves to move the doorlock. Then raspberry gives command to the servo motor to open the door. Only staff who have id and password are only able to open the door lock on the server room using voice recognition. While those who do not have id and password can not unlock the door in the server room. So with the design of smart door lock tool using voice recognition raspberry-based pi 3 provides a level of security and access more computerized.

Iot Based Smart Door Lock System

These days’ people are sky rocketing in technological advancements. This ushered to a lifestyle that’s become a child’s play. We are in pursuit of emerged advanced technologies and software with every single passing day. In the huge efforts of making our lives simpler and better we are contributing a fraction of a part through our project – SMART DOORS. Smart doors are a simple project that assists people in gaining the control to access the doors. Smart doors project prevents the entry of unauthorized personnel. This uses a simple Arduino board with a few lines of code dumped in it, a hexadecimal keypad and some jumper wires. The predominant attribute of this project is the Arduino board that facilitates the usage of this project. With this it is ready to be set up anywhere and everywhere with utmost expedite efforts. This prevents security breaches and helps establish a secure environment in and around.

Facial recognition enabled smart door unlock system

To verify that our daily life is going in a secure way. Lot of research programmers are going on in this entire society. The turning point comes through the internet of things, industry has been emerged with the lots of elements provided from IOT. We can able to connect our daily life things or objects with this had successfully evolved lots of things. This Facial recognition door unlock system is a process is which will detect the face and identifies the among people. People are having different types of face cut, in that particularly there are many unique faces which are different from each other which inspired us, from that concept this process has been established. Our main aim to create the smart door system to a house, that will secure the house and all your personal things at your home. In this concept of our system we have been used alive web camera in the front side of the door, along with the display monitor. this web camera shows the owner/particular viewer the whom the house is his control, this shows the person who stood front of the door, the system is setup the voice output is being processed by the processor that which is used to show the answers/instructions as the output on the screen. We are using a stepper motor that which is used to lock/open then the by sliding method, so that a normal person stand in front of the door and access it. This process is done through this Microsoft face API application. The display is being operated on a Microsoft Visual Studio application.

SYNTHESIS AND INVESTIGATION SOME PROPERTIES OF WO3 ELECTROCHROMIC THIN FILMS

The study of electrochromic thin films, which are transparent in the visible range, is significantly important in producing smart doors production and saving energy. This paper reports the results of preparing WO3 thin films on glass substrates and ITO substrates by thermal vacuum evaporation method. The influence of annealing temperature on the properties of thin films was investigated by X-ray diffraction, Raman scattering spectroscopy, X-ray energy dispersive spectroscopy, Atomic force microscopy and absorption and transmittance UV–vis spectroscopy. The results show that WO3 thin films have a high transmittance of about 90% in the visible wavelength from 400 to 900 nm, good substrate adhesion. The WO3 thin films were crystallized at 400 oC and the crystallization of thin films on the ITO substrate better than glass substrate. Electrochromic characteristics of WO3 thin films were investigated by Autolab electrochemical system. The results show the transmittance of WO3 thin film was reduced to around 12 % in visible region when increasing the applied voltage from - 0.1 V to - 0.7 V. The transmittance of the film was completely recovered by using an applied voltage of 2 V.