Door Lock Research Articles

IOT-Based Smart Door Selector For Double Security: Integration of Rfid and Blynk App for Economical Solution

This research aims to design and develop an Internet of Things (IoT)-based smart door lock system by utilizing Radio Frequency Identification (RFID) technology and the Blynk application. The system is designed to improve the level of home security by providing a variety of flexible access methods, including the use of RFID cards, smartphone apps, and emergency buttons. The prototype method is applied in system development, which involves creating a physical model to evaluate its performance and functionality. The test results showed that the system was operating properly, where RFID only responded to the registered card to unlock, thus increasing access security. Hardware design that is carried out with an economical approach and simple use of components makes this system more affordable compared to commercial smart door lock products on the market. This research shows great potential in increasing efficiency and comfort in managing home security systems and offers ease of implementation in various types of housing. Thus, this research makes a significant contribution to the development of innovative and practical solutions to improve home safety at a lower cost while providing a sense of security for its occupants.

Arduino Based Automatic Door Lock Design Using Personal Identification Number Pin

Current developments require more innovation in everyday life, one of which is home or office door security. Initially, home or office door security was only with ordinary padlocks or door keys found in most houses in Indonesia which had shortcomings in terms of security and effectiveness. In the current era of digitalization, almost every line of human activity is no exception, technology is currently continuously developing more rapidly. This can be observed through the many sophisticated equipment that utilizes technology so that the work system can run automatically. Of course, this makes it much easier for someone to carry out their activities and the work they do is also more efficient. This research aims to design a door lock system that is able to increase security, effectiveness and comfort in accessing rooms, both home and office. This system utilizes an Arduino microcontroller as the brain of the system, a keypad as input for entering the PIN code. Users are allowed to open the door simply by entering a predetermined PIN code. The main advantage of this system is its ease of use and a better level of security compared to conventional door locks. The results of this research are a pin-based door lock system using Arduino and keypad. This system uses the Arduino IDE development application for writing program code and Proteus for work simulation.

Enhanced self-driven flexible piezoelectric nanogenerator sensor based on NaNbO3/P(VDF-TrFE) films for security applications

The self-driven flexible piezoelectric sensor has wide application prospects in areas such as health monitoring, human-machine interaction, and warning detection due to its advantages of non-toxicity and high sensitivity. In this study, a composite film of poly(vinylidene fluoride-trifluoroethylene) [P(VDF-TrFE)] doped with NaNbO3 (NN) was prepared by electrospinning. The highly oriented NN particles promote the formation of P(VDF-TrFE) β phase, reaching a maximum β phase content of 91%. Under mechanical motion at a frequency of approximately 3 Hz, the piezoelectric nanogenerator (PENG) fabricated from the nanofiber membrane achieved a maximum piezoelectric output of 17.3 V and 12 V in the transverse and longitudinal piezoelectric responses, respectively. With an external load of 100 MΩ, the PENG obtained a maximum power density of 0.67 μW/cm². Additionally, the PENG sensor exhibited sensitivity to various human activities and demonstrated high sensitivity and rapid response in monitoring the status of the proposed door lock opening/closing, highlighting its enormous potential in security monitoring applications.

Performance Analysis of RFID-Based Smart Door Lock Controlled by Arduino

Performance Analysis of RFID-Based Smart Door Lock Controlled by Arduino

Recovering energy from door opening and closing process using a parallel crank-slider harvester in buildings

Recovering kinetic energy from the environment is mostly focused on the natural environment, while there is also a huge energy in the human living environment. The swing door is an indispensable equipment in the human living environment. The bidirectional swing of the door opening and closing process is rich in energy generated by human motion and thus has a large potential for energy recovery. An energy harvester for recovering bidirectional kinetic energy of the door in buildings is proposed, fabricated, analyzed, and tested. The energy harvester consists of a parallel crank-slider mechanism, a transmission mechanism and a power generation module. The external linkage is used to connect the door and the energy harvester to transmit the bidirectional swing of the door. The parallel crank-slider mechanism is coupled with two one-way bearings. This can realize the conversion of the bidirectional swing of the door to the unidirectional rotation of the central shaft. The final mechanical rectification effect is achieved. Kinematic and dynamic analyses are performed to determine the factors affecting the power generation performance. A prototype is fabricated, and experiments are conducted on it by simulating the process of opening and closing the door. The experimental results are consistent with the simulation ones. At a normal opening velocity of 90° s−1, the maximum open-circuit voltage of the harvester is 7.06 V and the average output power is 1.03 W. The highest efficiency of the harvester can reach 69.65%. The recovered energy is capable of powering the smart door lock for at least 150 s, as well as powering devices such as door lights and doorbells. This can meet the power supply needs of most electronic devices on doors in human life.

Perancangan Sistem Kunci Otomatis Berbasis Qr Code Menggunakan Sensor Gm66

The security system plays an important role for the comfort of human life today. Moreover, in the development of the times which are increasing day by day. In the world of technology, many things are implemented in security systems to increase consumer confidence. One of the main factors of the security system is theft by breaking into the building door. This security problem can be overcome by utilizing existing technology, for example with a QR Code. The design of this device will be carried out using two paths, namely hardware design and software design. This is done so that the design of this automatic lock system can work in accordance with the design which includes a circuit block diagram and circuit realization with the working principles of each circuit that has been designed. From some of the results of testing QR Code-based automatic door locks using the GM66 sensor which can be seen from several tables of test results, it can be concluded that the tool can work properly.

Spacelord : Private and Secure Smart Space Sharing

Space sharing services like vacation rentals and meeting rooms are being equipped with smart devices such as cameras, door locks and many other sensors. However, the sharing of such devices poses privacy and security problems, as there is typically no clear control transfer between owners and users. In this article, we propose Spacelord , a system to time-share smart devices contained in a shared space privately and securely while allowing users to configure them. When a user stays at a space, Spacelord ensures that the smart devices contained in it run code and configurations the user trusts while removing pre-installed code and configurations. When the user leaves the space, Spacelord reverts any changes the user has introduced to the smart devices, deletes any remaining private data and lets the owner take back control over the devices. We evaluate Spacelord for two realistic space-sharing cases—smart home and coworking meeting room—and observe smart space provisioning delays of ~82sacross three different platforms. Moreover, the average runtime overhead of our system varies from 7.8% to 11.8% across different hub hardware, running native applications.

OTP based Door Lock using Arduino and SIM800L

Nowadays, people prioritize security above all else, making it a more important concern in their lives. The proposed work aims to replicate the extensive literature research on OTP-based door locks, which are crucial for residential, commercial, and auto security because of ever increasing risk of theft. The existing methods include various kinds of door lock security systems, such as traditional security systems that transmit signals through alarms. Some door lock security systems are based on GSM, GPS, and biometrics like face recognition, iris scanning, RFID, smart cards, and passwords. Every system has benefits and drawbacks of its own. Overcoming the limitations of authentication mechanisms like mechanical and digital door locks is the reason why access control systems based on OTP are preferred. The user does not require the administrator’s help to access the door if they are familiar with the proposed method and have the registered mobile number and OTP. The OTP is generated and sent to user’s mobile number whenever the user accesses the door.

Password based Smart Doorlock System using Arduino UNO for Enhanced Security

In recent years, the demand for secure access systems has increased significantly, especially in residential and commercial areas. Hence, this presents the design and implementation of a password-based door lock system using an Arduino microcontroller and a servo motor. The system provides a cost-effective and reliable solution for managing access to physical sites. The proposed system uses an Arduino microcontroller as the central device to control the authentication process and to control the servo motor that operates the door locking mechanism. A matrix keyboard is used to enter the password, which provides a user-friendly interface for communication. The servo motor is responsible for physically locking and unlocking the door mechanism based on the authentication result. The operational workflow of the system requires the user to enter a predetermined password using a keyboard. The Arduino microcontroller compares the entered password with the password stored in its memory. After successful authentication, a servo motor is operated to open the door, allowing access to the authorized person. Conversely, failed authentication will result in access being denied.

Face Mask Recognition-based Door Lock Mechanism Using HaarCascade, Mediapipe, and Arduino

On 12 January 2020 Chinese authorities shared the sequence of a novel coronavirus termed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since then COVID-19 pandemic had rapidly affected our day-to-day life disrupting world trade and movements. Wearing face masks is one of the preventive measures recommended by health authorities to reduce the spread of respiratory droplets containing viruses, including the SARS-CoV-2 virus responsible for COVID-19. Therefore, Many regions and organizations have implemented regulations or guidelines mandating the use of face masks in specific settings. This Python-based Machine Learning project provides an automated way to monitor whether individuals in a given environment are wearing masks or not. Pre-trained Haar Cascade files are used to detect the facial features and provide a signal to the Arduino controller to lock/unlock the door. Keywords — Python, Face Mask, Door Lock, Haar Cascade, Covid-19

LPHD: A low power and high diffusion lightweight block cipher

AbstractSmart door locks pose a large number of threats such as network attacks. Its storage area and power of cipher are severely limited because the wireless nodes of smart door locks are mostly battery‐powered. Therefore, effective security solutions are urgently needed. In this paper, a new lightweight block cipher with low power named LPHD is proposed to ensure the security of the master control chip of the smart door lock terminal. We design a scheme of low power S‐box and construct the two‐stage permutation layer (TP structure) suitable for LPHD by filtering the sets of 8‐bit permutations. LPHD proposes a variant of the 8‐branch generalized Feistel structure (GFS) to realize that the bits of all branches are affected in one encryption round. The problem of slow diffusion in the standard Feistel structure is solved. The key schedule adopts the nonlinear design and reuses the encryption process of LPHD. It improves the security of the cipher and reduces hardware overhead. Moreover, we evaluate the hardware implementation and security of LPHD. The results show that LPHD for the unified encryption and decryption circuits requires only 1276 Gate Equivalents (GEs) and 1.914 W on UMC 0.18 m, which is better than other lightweight block ciphers such as SKINNY, PRESENT, and IVLBC. In summary, LPHD provides sufficient security for the master control chip of the smart door lock terminal.

DESIGN AND DEVELOPMENT OF CAMPUS ROOM USE MONITORING APPLICATION BASED ON ANDORID WITH MAGNETIC DOOR LOCK IN THE DEPARTMENT OF INFORMATICS AND COMPUTER ENGINEERING UNM

The condition of campus room doors that are often open has the potential for misuse of campus rooms that do not comply with the schedule set in the room and affect the security of the room facilities. This research aims to produce an Android-based campus room usage monitoring application using magnetic door locks at JTIK FT UNM as well as knowing the results of functional testing and performance testing or system performance. This research uses the Research and Development method with the Rapid Application Development Development model with stages: needs analysis, system design, system building, validation, testing, and final product. The final product of this research is a system developed in an Android-based room usage monitoring application that is integrated with a magnetic door lock using the QR Code feature. In this case, the system utilizes the ESP32 microcontroller as a chip that receives and provides signals according to the program in the system. The test results obtained validation of the Android-based campus room usage monitoring application using magnetic door locks can be said to be valid and suitable for use.

IOT Based Smart Lock Door System

Abstract: Security describes protection of life and property. The safety in the house is very important. Besides the traditional method door that used a key can be easily open by not authorized person or burglar if they have the right key. This will allow them to steal the entire valuable thing in the house. Nowadays the telecommunication technologies become wider and more new features exist to make human life better This project will use a Bluetooth feature in mobile phone to automatically open the door so that Bluetooth technology syncs your phone directly with the lock. It wills automatic open if authorized person is detected. The door will open for a certain delay and the door automatically closes within this time. IOT based smart door lock using 4x4 MATRIX MEMBRANE TYPE KEYPAD-16 KEYS, ARDUINO UNO, RELAY MODULE.

Innovative Solutions for Worn Fingerprints: A Comparative Analysis of Traditional Fingerprint Impression and 3D Printing.

Fingerprint recognition systems have achieved widespread integration into various technological devices, including cell phones, computers, door locks, and time attendance machines. Nevertheless, individuals with worn fingerprints encounter challenges when attempting to unlock original fingerprint systems, which results in disruptions to their daily activities. This study explores two distinct methods for fingerprint backup: traditional fingerprint impression and 3D printing technologies. Unlocking tests were conducted on commonly available optical fingerprint lock-equipped cell phones to assess the efficacy of these methods, particularly in unlocking with worn fingerprints. The research findings indicated that the traditional fingerprint impression method exhibited high fidelity in reproducing fingerprint patterns, achieving an impressive unlocking success rate of 97.8% for imprinting unworn fingerprints. However, when dealing with worn fingerprints, the traditional fingerprint impression technique showed a reduced unlocking success rate, progressively decreasing with increasing degrees of finger wear. In contrast, 3D-printed backup fingerprints, with image processing and optimization of ridge height, mitigated the impact of fingerprint wear on the unlocking capability, resulting in an unlocking success rate of 84.4% or higher. Thus, the utilization of 3D printing technology proves advantageous for individuals with severely worn or incomplete fingerprints, providing a viable solution for unforeseen circumstances.

IOT BASED VEHICLE THEFT DETECTION AND ENGINE LOOKING SYSTEM

The advancement of smart home technology has revolutionized traditional security measures, offering more efficient and convenient solutions for safeguarding homes and properties. In this project, we propose a smart door lock system that integrates Passive Infrared (PIR) motion detection, a solenoid-based locking mechanism, and an ESP32 Cam module for intruder capturing and remote monitoring. The core components of the system include a PIR sensor, which detects motion in the vicinity of the door, and a solenoid actuator, which controls the locking and unlocking of the door. The ESP32 Cam module serves as the central processing unit, responsible for coordinating the operation of the components and capturing images or videos of intruders. Upon detecting motion, the PIR sensor triggers the ESP32 Cam module to activate the solenoid, thereby locking the door to prevent unauthorized access. Simultaneously, the ESP32 Cam captures images or videos of the intruder using its built-in camera and stores the evidence locally or transmits it to a designated mobile device. Keywords: Biometric access control, Motion detection, Intruder detection, PIR sensor, ESP32 Cam, Smartphone app control, Solenoid actuator

Automated Domesticity: Exploring the Realm of Home Automation Systems

This research paper presents the development and implementation of a comprehensive smart home automation system comprising a smart switchboard, smart smoke, flame, and gas detector, and a smart door lock system. Leveraging innovative technologies such as voice control, sensor networks, and Bluetooth Low Energy connectivity, the system offers users enhanced convenience, safety, and energy efficiency within residential environments. The smart switchboard enables intuitive voice-controlled operation alongside traditional manual control options, while the smart smoke, flame, and gas detector provide real-time monitoring and alerting capabilities. Additionally, the smart door lock system ensures secure access control through voice password authentication and manual lock and key options. Through this integration, our research demonstrates the transformative potential of smart home automation in revolutionizing household management and enhancing quality of life

Access Control Using Facial Recognition

The field of smart home technology has grown by leaps and bounds over the last few decades. This development has made several new products available that can add convenience and security to facility. People became aware of smart home devices with the introduction of the smart thermostat, but these thermostats were only the beginning to smart homes. Smart devices helps people manage their sched-ules, grocery lists, home lighting and even the home security. These devices work together to make life a bit easier as well as safer. One group of such smart home security devices that are gaining popularity are smart door locks. Smart door locks are also seeing new innovative features being added recently where some companies are adding the capability of facial recognition to the locks. With nothing but the face, it’s now possible for a door lock can be operated. As far back as 2016, manufacturers started talk-ing about smart locks with face recognition. The innovation has continued to grow as several main-stream tech devices with facial recognition like the phones and handheld devices with facial recogni-tion unlock features. In smart door locks, the device uses facial recognition, leveraging advanced processing and analytics to identify a person’s facial attributes at the door. KEY WORDS Access control, facial recognition, door locks, security.

Home Automation Using AI Tool

Home automation is becoming increasingly popular as people seek to simplify their lives and improve their living spaces. In this project, we explore how Husky Lens, an AI-powered image recognition sensor, can be used to control home automation systems with the help .of an Arduino board and a relay. By training Husky Lens to recognize different hand gestures or objects, we can use these gestures or objects to control various appliances or devices in our homes. For instance, a user can simply wave their hand in front of the Husky Lens sensor to turn on or off the lights or fan, or use an object such as a Smartphone to activate a door lock or a garage door. The system is built using an Arduino board to communicate with the Husky Lens and relay module, which in turn controls the appliances or devices. This provides a low-cost and customizable solution for home automation that can be easily expanded to incorporate additional features or devices.

SPCL: A Smart Access Control System That Supports Blockchain

The access control system is a critical element in intelligent buildings. In this paper, we present SPCL, an innovative access control system designed to facilitate building entry through the use of mobile phones. Our system aims to provide a secure and convenient solution for building access, capitalizing on the widespread availability and capabilities of mobile devices. Additionally, we propose a lightweight authentication protocol to enhance security. The performance of the protocol is measured for different curves at different frequencies, proving that the protocol is more suitable for door lock systems than the benchmark protocol. In addition, we investigated the security and usability of SPCL. Finally, a comparison of the security of human-lock interfaces for smart locks and blockchain-based payment methods are discussed.

Contamination of Keys with Parasite Eggs/Cysts within Ahmadu Bello University (Samaru Campus), Zaria, Kaduna State, Nigeria

Infections caused by intestinal parasites are widespread causing significant problems in individuals and have become a public health menace. The prevailing environmental factors alongside contamination of various objects with different stages of parasites aids the fast distribution and infection of various species of parasites. The prevalence of parasitic eggs, cysts, and oocysts on keys used for door locks and other similar locks was investigated within the Samaru Campus of the Ahmadu Bello University, Zaria. One hundred and four (104) key sets were collected and examined, one set at a time using the formol-saline sedimentation technique. Seven parasites comprising of Coccidian oocysts 11(10.6%), Cryptosporadium spp 3(2.9%), Ascaris lumbricoides 1(1.0%), Toxocara spp 1(1.0%), Strongyloides spp 2(1.9%), Schistosoma mansoni 1(1.0%), Mites 2(1.9%) and a mixed contamination of A. lumbricoides and Toxocara spp 1(1.0%) were identified. Chi-square was used to analyze data and among the risk factors tested, keys that are few in a bunch are seen to have the highest prevalence of contamination with parasitic eggs, cysts, and oocysts, which were also statistically significant (P=0.03346). The findings of this study show that different parasites of public health occur on keys, therefore, it can be concluded that the keys can serve as channels through which parasitic eggs, cysts, and oocysts can be disseminated; and should be disinfected appropriately and often.