QR Code based Advanced Digital Locking System using Raspberry Pi

This research paper talks about the development of an innovative IoT-based smart door lock that also uses facial recognition, Internet of Things (IoT) integration, and the ESP32-CAM microcontroller to increase home security. As locks continue to evolve with more new features, the use of IoT is increasing and enhancing the security and usability. ESP32-CAM was selected for this project because of its built-in Wi-Fi connectivity and camera, which render it exceptionally suited for creating a smart lock system that is able to not only recognize the saved faces but also alert the user if there is an intruder. When compared to other microcontrollers like Raspberry Pi, the ESP32- CAM offers many more advantages, including enhanced security features, a userfriendly interface, and a lower cost, and much more in initial price. This paper also compares and talks about already existing facial recognition-based door locks, providing a detailed analysis of their plus points and limitations to understand the current state of the technology. The research also provides a detailed breakdown including the system's development process, selection of components for the device, and compilation of hardware components for the implementation of the model, The paper also includes the algorithms and user interface design. In this paper, you’ll see how each component works, its usage, and how each component works together to ensure reliable and accurate facial recognition. Also, model testing was done to get the device's performance in a number of different conditions and usage areas. The results of these tests show that ESP32-CAM based smart door lock is a good and powerful solution and it is also cost-effective, offering good amount of savings compared to other smart lock systems in the market. This paper highlights how the project talks about some of the common security problems associated with the old locking system. By offering a more accessible and reliable alternative, this smart lock system has the potential to revolutionize home security. The integration of advanced facial recognition technology with IoT makes the home door lock system a more secure and user-friendly approach to home access control.

Recently, there are a large number of smart lock systems that can be used in the workplace or home, but many of them depend on finding an external key, password, fingerprint, and facial recognition, where these systems suffer from weakness as the physical key may be forgotten in a place, the password can be memorized which is hard for some peoples, and the fingerprint system sometimes does not work on people who suffer from chronic diseases, such as people with diabetes and for each of these systems the person needs a free hand so that he/her can open the lock which means that is if the person carries something he/her needs to be placed somewhere. The facial recognition system cannot recognize the person's face when the place has poor lighting. This paper proposes a home door lock system that relies on the internet of things (IoT) technology and portable electronic devices Bluetooth such as a smart mobile using the device Bluetooth media access control (MAC) address as a key and the IoT for monitoring, which leads to a door lock that does not require a free hand. The proposed lock system outcome can be a good candidate for home security applications.

The traditional doorlock system were facing lack of security with vital issues from burglary to overcome on this the latest technologies are being adopted to clear the gap of issues. In this system the IoT-based WiFi fingerprint door lock with live streaming using a Raspberry Pi and a webcam is a smart door lock system that provides enhanced security features for homes.The system utilizes the IoT platform for to integrate & connect the lock to a WiFi network and enable remote access through a mobile device.The system also features a Raspberry Pi device that is connected to a webcam, allowing live streaming of the entrance area. Users can view the live feed of the entrance area on their mobile application or whatapp , which providing an additional layer of security. The Raspberry Pi device can also be programmed to send notifications when the door is unlocked or opened, alerting the user of any unauthorized access.Using Raspberry Pi as the main platform for the project, allowing for easy customization and development. Integrating a webcam into the system to enable live streaming. The live steaming can be viewed from web Application or from whatsapp .

This paper describes an expert RFID biometric enabled dual system architecture which acts as a smart and digitized banking vault door locking system. The proposed system is novel, multipurpose and provides three levels of security. It is based on locker automation using RFID technology and software Android App technology that allows access only to the authorized owner of the bank vault to open it. Despite the legacy key system, the overall control of electronic smart door lock system utilizes the RFID tags via NFC, biometric traits via web portal and mobiles via Bluetooth as the procedure for authentication. Our proposed RFID technology-based access control authentication mechanism utilizes low cost irrevertible functions to control the vulnerable security attacks. Furthermore, the proposed lock system has a tag’s identification search complexity of only $${\mathcal {O}}(1)$$ .

The Business market for smart phone applications using Bluetooth Low Energy (BLE) is constantly amplifying nowadays. The Bluetooth Special Interest Groups (SIG) expected that in future they will encounter more than 90 percent of all Bluetooth enabled devices which supports BLE systems. Bluetooth Low Energy is becoming progressively popular in smart phone applications due to the circumstance of using it for the proximity data. This project gauges the Bluetooth Low Energy in the context of using mobile applications to unlock a door automatically when an intruder approaches the door. Computations were performed to determine the reliability, signal strength, connection latency and energy consumption for the same. The hardware designed for this door lock system is the union of components like a Bluetooth module to act as a command agent, an android mobile phone which functions as the task master, an Arduino microcontroller to process the data or to operate as a control center and a solenoid as a output for the door lock system. All of the tests stipulated above will go according to the initial design of this research.This paper provides a insight on various available security system

This is an IoT-enabled RFID-based door locking gadget. This door lock system will know how long the door is open and in this door lock system, only those people who register will be able to enter using their card. It uses a servo motor that operates with the help of Arduino. The Arduino board runs with complete programming that is stored inside it. By using this gadget, an owner can track his office and the place where he wants to let the specific people in. It is also very secure. RFID Module, LCD Display Red and Green and Yellow LED Light and Buzzer have also been used in this door lock system. When the door is locked, the yellow LED will be on and when the door lock is open, the green led light will turn on. The Red LED work will alert you that your card is wrong.

In the modern age of digital security, conventional door lock systems are creasingly susceptible to breaches. This paper proposes a robust, multi-factor door lock system that integrates fingerprint recognition, facial detection, and a PIN-based unlocking mechanism using a Raspberry Pi microcontroller. It enhances security by requiring three authentication methods before granting access. The system incorporates a fingerprint sensor via UART, a USB-connected webcam for facial recognition, and a keypad for PIN entry. A servo motor acts as the locking mechanism, controlled through GPIO pins of the Raspberry Pi. By combining biometric, visual, and numeric credentials, this system mitigates the weaknesses of single-layer authentication methods. Python scripts and OpenCV libraries are employed for facial recognition, while fingerprint templates are stored in a secure database. The system is energy-efficient, cost-effective, and can be integrated into existing home automation setups. The solution addresses key concerns office security, offering both reliability and scalability. This project thus presents a feasible alternative to expensive commercial smart lock systems, offering a customizable and user-friendly experience. Keywords: Raspberry Pi, Fingerprint Sensor, Webcam, Keyboard

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.

IoT technology enables to control surrounding things which would otherwise be controlled manually. A smart door lock system is very important when security access, ease of access, schedule of access are essential. The traditional door lock system does not support any of these smart functionalities. In this paper, we have proposed a smart door lock system that provides features of auto lock, schedule lock and security door lock. The lock can be managed by an Android app and provides ease of access management. We have implemented a prototype of the proposed door lock system and conducted experiments to observe the response time and reliability of such system. The results show that the smart door lock system is reliable and the response time is very fast. We have also compared the performance of our Android app and the Arduino app.

QR codes have become an important tool in modern mobile applications, allowing users to instantly access various information, make payments, interact with advertising campaigns, and use social networks. Such popularity of QR codes contributes to their rapid spread, but at the same time increases the risk of fraud and phishing attacks. Dangerous QR codes can contain links to fake web pages created by attackers to collect users' personal data or to redirect them to malicious resources that threaten data security and user privacy. This paper focuses on the study of methods to improve the security of QR codes in mobile applications using modern artificial intelligence (AI) algorithms that can detect potentially malicious QR codes and protect user data. The proposed approach involves the use of several AI tools, such as recurrent neural networks (RNNs) for analyzing the structure of URLs, classification algorithms for verifying the legitimacy of domains, and autoencoders for detecting anomalies that may indicate malicious intent. The developed system allows timely detection and blocking of suspicious QR codes, preventing possible attacks on user privacy and misuse of their data. Additionally, the study emphasizes the importance of the data collection and preparation stage for training AI models. Since the quality of the results depends on the completeness and quality of the training data, considerable attention is paid to the development of optimal methods for collecting and filtering information to ensure the effectiveness of detecting malicious elements in QR codes. The use of artificial intelligence to ensure the security of QR codes is a promising area that allows mobile application developers to integrate modern technologies to protect users from fraud and phishing attacks. This approach contributes to the creation of a safer digital environment and increases consumer confidence in mobile technologies, enhancing the overall security of using QR codes in everyday life

With advances in QR code, mobile is becoming one of important channels in the fashion retail industries. This study attempts to understand the importance of QR code utilization in creating multi-channel business model. Study objectives are to classify types of multi-channel retailing by QR code utilization and to explore the role of QR code technology in strategic marketing elements for types of multichannel retailer. As an exploratory approach, a total of 78 news articles regarding QR code issues were reviewed and analyzed by focusing on 48retailers seleted in this study. The results found seven dimensions of QR code marketing strategies: abundant product information, additional information contents, transaction accessibility, connectedness to channels, location based service, loyalty program and multimedia advertising. Based a combination of channels and level of mobile apps' activation, multichannel retailers utilizing QR code technology were classified into four types; bricks-click-active mobile model, bricks-click-inactive mobile model, bricks-click model, and click-active mobile model. There were differences of using QR code marketing strategies among multichannel models. According to results, for bricks-and-mortar retailers, QR code was critical to integrate shopping experience with merchandise or sales promotions across channels. In addition, for non-store retailers, the QR code utilization was successful in expanding mobile channels, which can promote retail sales by a two-way interaction with customers via the mobile apps.

<div class="htmlview paragraph">Currently, the drivers are able to control a door lock at a distant point from a vehicle. Recently, a door lock system has been developed to detect an owner approaching and to unlock the door when he/she touches the door handle. In this system, an antenna detects the existence of the owner with an electrical key near the vehicle. Since this detection performance of the antenna (directivity) varies in the operating area, it is essential to recognize directivity and confirm that there is unoperating area. In this report, we describe an example of predictive calculation on directivity of an antenna using the electromagnetic field analysis.</div>

The development of technology is currently growing rapidly, especially door lock technology. The door at the informatics engineering laboratory still uses a manual lock system using a key. There are weaknesses in this system, starting from security, namely currently many people can duplicate keys. While in terms of key care, if the key is lost, you must first go to the key duplication area. Therefore, the research team needs to design a door lock system based on Rfid and Arduino in the Computer Laboratory of the Department of Informatics. The purpose of this research is to keep up with the times, which are all automated, to facilitate the process of opening and closing the laboratory door, and to facilitate maintenance. The materials needed to make this system include Pro Micro, RFID sensor, Selenoid door lock, LED, 5V relay module, ID card and acrylic. This research was conducted at the Laboratory of the Informatics Engineering Department of the Banyuwangi State Polytechnic. The method used is the Research and Development (R&D) method, the R&D method is a method for making a product and testing its effectiveness. The stages of the R&D method are potential and problems, system design, tool manufacture and refinement, tool testing. The results of this study are that the research objectives have been fulfilled in facilitating the process of opening and closing laboratory doors and can overcome security problems and key duplication.

This research paper concentrates on the concept of Digital Authentication using QR Code in Digital Education System. This paper aimed to provide a better solution to the Digital Security. There are two challenges of the work i.e. first one is to explore the usability of QR Code in general life and second is to incorporate QR Code technology with an educational document for security to avoid duplicity. The literature review is done to synthesis digital encoding and decoding technique as well as basics of Bar Code and QR Code. The implementation of QRC (Quick Response Code) for verification is presented where web environment, programming logics, and URL embedding are discussed. The result analysis and testing of experiment are done in the sense to get best quality of QR Code though the information embedded should not affected and the QR Code must easily be decoded the embedded information from common tools. The goal of this research paper is to explore and analyze the best image under the testing of Error Correction Level and Matrix Point Size parameters by calculating the PSNR and MSE values for QR Code images with different image file format (PNG and JPG). The calculated values are compared and the final conclusion of the work found which state that the PNG image with Error Correction Level-L and Matrix Point Size 1 are the best to generate quality QR Code. The testing and result are presented which state that the QR Code is the best way to compose the identical information of any entity to quickly figure out the originality.

This research analyses consumer perceptions of using QR Codes in promotional activities and digital payments implemented at Rumah Makan Surya Rezeki "Tahu Gimbal" Tlogosari-Semarang. The research method used is descriptive quantitative with a questionnaire analysis approach given to consumers who have completed transactions at the restaurant. The result of this research is a change in how restaurants serve consumers with the introduction of QR Code technology as an alternative to provide information on the available menu items along with their prices and enable digital payments. The QR Code information provided is sufficient when printed as an image, and consumers focus their smartphone camera on scanning it until it connects to the needed information. The implementation of QR codes impacts the improvement of customer service through more straightforward, faster, and safer service. The obstacles encountered in implementing this QR code technology are unstable network access, which causes the application communication to malfunction, and many consumers still do not understand how to use the QR code.