Security Lock Research Articles

High Accuracy Bank Locker Security System using GSM and GPS

High Accuracy Bank Locker Security System using GSM and GPS

A Library Locker Security System with Integrated RFID, Dual Camera Monitoring, and Telegram Notification

A Library Locker Security System with Integrated RFID, Dual Camera Monitoring, and Telegram Notification

NGHIÊN CỨU CẢI TIẾN HỆ THỐNG KHÓA THÔNG MINH ỨNG DỤNG TRÍ TUỆ NHÂN TẠO

This paper focuses on researching and developing a smart security lock system using artificial intelligence, specifically facial recognition technology combined with the Internet of Things (IoT) to automatically recognize faces of accessing people.. The system is constructed with both hardware and software components, designed to verify the correct face stored in the database. The results show a high practical application potential, meeting the designed hardware and system programming objectives. The product can be used as an access control system based on facial recognition for government offices or industrial areas. Its advantages include cardless attendance tracking, fast and accurate verification, costeffective installation, energy efficiency, compactness, and high efficiency.

Embedded Systems Based Intelligent Bank Locker Security System

Nowadays, security plays a big role, notably in homes, companies, and banks. This article uses embedded systems to design a bank locker security system. The Global System for Mobile (GSM) and Radio Frequency Identification (RFID) technologies are the foundation of this system. Only honest people are permitted to retrieve money or gold from bank lockers. It is created by fusing RFID and GSM technologies, allowing for real-time activation, authentication, and validation of the user and door unlocking for safe access to bank lockers. GSM and passive RFID are safer than other technologies. A microcontroller, RFID reader, GSM modem, keyboard, and a liquid crystal diode make up this system (LCD). This system employs a dual password protection scheme to ensure that only legitimate individuals can get funds from bank lockers.

Rancang Bangun Sistem Loker Berbasis IoT

Lockers are one of the most common places for people to store valuables. Storage lockers that are widely used at this time still use manual keys and are still in physical form as locker security, and these lockers have a number on each locker key to indicate that the locker used by the user can be seen on the locker key. This is still prone to theft of items stored in the locker, such as keys that have been dropped or scattered by users which can be used by irresponsible persons to retrieve items stored in the locker.

An IoT-based Smart Security Locker System with OTP Verification

Due to frequent movements and hangouts between classrooms and office buildings, students’ personal items/expensive gadgets can get lost, misplaced and stolen, this has become a common issue that people across the campus and offices have been frustratingly dealing with. Keeping this in mind, this research work aims to implement a cost-effective “Password-Based Locker Security System” to protect the personal assets of students and staff, like laptops, gadgets, keys, and personal documents. The study presents a prototype security locker that utilizes Arduino UNO connected with a Wi-Fi module, which controls the complete processes like taking a password from the keypad module, comparing passwords, driving the buzzer, triggering the relay, and sending status to the LCD and connecting to the Internet of Things (IoT). The system is based on IoT technology using the Blynk IoT platform, which sends a notification alert to the connected device in case of security breaches. One Time Password (OTP) verification can be done to reset the password after three wrong password inputs. The proposed system is portable, durable, and installable in specific places.

Biometric based Fingerprint Identification for Bank Locker Security System

tract: This paper presents the human detection and recognition field is very significant and has undergone rapid changes with time. An important and very reliable human identification method is fingerprint identification. Fingerprint of every person is unique. So, this helps in identifying a person or improving security of a system. Finger print of a person is read by a special type of sensor. Finger print sensor can be interfaced with a microcontroller. Through fingerprint we can add new user and delete the existing user. In this project we use a fingerprint sensor to read one’s identity to automatically operate the door of the locker. For this, we use a microcontroller to enable the door opening or closing if the matching between scanned data and the already existing data is correct. Comparison is done inside the fingerprint module itself and its output is given to microcontroller. Result is displayed in an LCD display whether the user is authorized or not. The aim of our project is to design finger print based bank locker security system, which uses candidate’s fingerprint to decide the authenticity of candidate.

Android Mobile Based Security Lock for Bike Ignition

Abstract: Bikes being taken from parking lots is a frequent occurrence. Or occasionally we accidentally forget to take the bike's keys off. It is really challenging to get the bike back in these situations. This initiative is intended to accomplish this goal. The primary idea behind this project is to use an Android mobile to enter a password to secure a bike. When the password is incorrectly entered, this project activates a buzzer. An essential link in a security chain is a bike access control. Only anyone with the proper authorization are able to access the bike using the access control system of the microcontroller-based bike locker

Dual-Level Secured Autonomous Bank Locker System

The proposed development intends to establish an autonomous bank locker using industry-standard innovative locker technologies to deliver more flexible and reasonably priced semi-autonomous bank security mechanisms with minimal human intervention. In this design, there are two layers of locker security. The system proposed in this effort is a better security system regarding the number of security tiers. Its primary base is facial recognition. The first level is implemented by asking the user to input a passkey. A matrix keypad and Python programming are both employed. The user is then authorized to continue to the subsequent stage if a match is confirmed to exist. The second level was implemented using Python programming, OpenCV software, and face detection and identification techniques. To make Windows compatible with third-party apps Putty and Xming, the Raspberry Pi was linked to the laptop using IEEE 802.3 Ethernet and X11 forwarding on the UBUNTU operating system. IEEE 802.11 USB Wi-Fi was used to connect devices to the Wi-Fi network. The HAAR OpenCV standard has been used for face detection because of its better Face Acceptance and Rejection Ratio. The EIGENFACES OpenCV standard is employed for face recognition due to its efficacy, robustness, and simplicity.

Bank Locker Security System using Machine Learning with Face and Liveness Detection

In today's day to day life, security plays an important role. Every person has accessories like gold, jewelry and cash. It is not enough to have these accessories, but security of this is important, for this security reason we keep them in bank lockers. for the bank locker security many tools are used in todays days some are fingerprint recogination, face detection, liveness detection ,password for lockers.In face to face detection Convolutional Neural Networks(CNN) algorithm features plays important role with more than 93% accuracy.

Bank Locker Security System using Machine Learning with Face and Liveliness Detection

One of the main problems that financial systems are currently facing is ensuring the security of transactions. Banks from all over the world spend a significant amount of money using biometric authentication of consumers because it is convenient and widely used. Particularly in offline settings where digital selfies and ID document facial photos are matched. In reality, nowadays, more extensive programs like automatic immigration control also use selfie-ID comparisons. Limiting the discrepancies between comparative facial photos given their various origins is the procedure's greatest challenge. We suggest a unique architecture based on deep features derived by two well-referenced convolutional neural networks for the cross-domain matching problem (CNN). The results from the data collection, known as Face Bank, show that the proposed face-to-face comparison problem is strong and should be included into actual banking security systems with more than 93% accuracy. Keywords: Face Bank, Convolutional Neural Networks (CNN), automatic immigration control, digital selfies, face to face comparison problem.

Locker Security System using Internet of Things

As a priority in today's society, security is of highest importance, and safeguarding our properties from intruders is no small task. The main objective of the offenders is to obtain valuable items kept in the locker. To address this issue, an Android application called Locker Security System uses Internet of Things (IoT) technology to monitor the locker's condition and enhance security. The project is based on ESP32 micro controller installed along with PIR sensor is implemented in the locker to detect the movement and magnetic switches to know whether the door is locked or unlocked, When the intruder opens the locker by force it detects the status of locker door using magnetic switch sensor and the motion of his hand inside the locker using PIR sensor, the data is uploaded to the firebase linked with the mobile app. If a burglary is detected it sends an alert notification message to the mobile immediately using twilio cloud and the buzzer is also rung in the mobile application. The PIR sensor can detect the motion accurately up to 6 metres .The further advancements would include equipping the locker with a camera. The locker would be equipped with a camera so that, in the event of an intrusion, it would record the intruder's image and send it to the user via the mobile application. The police can be informed about the burglary using the mobile application along with an image sent of the burglary.

Peningkatan Pengetahuan Smart Home dan Penerapan keamanan Pintu Otomatis

The door is an important component of the dwelling. The need for security is an important thing in everyday life. Home security such as doors, cupboards, lockers and so on at this time still uses a manual system, namely by using conventional keys. Conventional door locks usually consist of a key housing and a saddle to open it. The demands that must be carried out by schools in implementing the learning process that utilize information and communication technology face various obstacles that are not simple. The importance of technology-based learning that can open students' horizons and hone students' soft skills. The implementation of the PKM Assisted School activities is carried out through three stages, namely the initial stage, the process stage, and the final stage. The implementation of training on making door locks begins with the provision of smart home and door lock materials to open up insights about automation technology. After participants gain an understanding of smart homes and door locks, participants will be shown the components and systems in making door locks. Furthermore, each participant will do practice to make an automatic door security system so that participants gain experience in making automatic lock systems. Furthermore, the participants are required to be able to run an automatic security system by designing a security lock using a numeric password until the system is successfully run. The increase in skills and knowledge related to door locks can be seen from the participation of each participant with the successful creation of a door lock system by each group. From the results of the questionnaires that have been filled out by students, 89% stated that they have gained new knowledge related to the manufacture of door lock systems.

DESIGN OF A LOCK SYSTEM USING RFID AND GSM TECHNOLOGY

-Security is a key factor to the development of any nation, yet it is a one major challenges faced all over the world. Several measures which ranges from key lock system to a highly intelligent lock system employed to restrict unwanted person to certain areas do have some level of limitations. This paper present the design of security lock using Radio frequency Identification (RFID) system and Global system for Mobile (GSM) communication technology aimed to address some of this limitation. The proposed lock system identifies a user by an RFID tag, authenticate it by sending 4digit codes to its mobile phone using short message services (SMS) and allow (confirm) the user to gain entrance if the correct code is entered. The program was written and builds to debug any error using Mikro C software. The circuit was designed using Proteus software and linked to the hex file generated by Mikro C to simulate. The simulation results were satisfactory which shows that real lock system will work according to design.

Bank Locker Security System Using Machine Learning with Face and Liveness Detection

To increase reliability of face recognition system, the system must be able to distinguish real face from a copy of face such as a photograph. This system introduces a distinguished approach towards Machine learning and Neural Network, in which we propose a fast and memory efficient method of live face detection for embedded face recognition system, based on the analysis of the movement of the eyes. We detect eyes in sequential input images and calculate variation of each eye region to determine whether the input face is a real face or not.

IoT Based Face Recognition Door Lock System Using Raspberry Pi

The world we live in today has become very advanced today. As we can see in the past we used lock and key system for centuries to lock the doors. In many cases we as humans have lost our keys and for getting in we had to break the door and which would be much costlier repairing or installing a new door. Robberies were also a security threat and making living away from the house more frustrating and stressful. But as we are advancing technologies in various fields our locks also need to be upgraded. Keeping that in mind we have designed a facial recognition-based security lock system using Raspberry pi as the main controller of the system. Our system uses a camera which is attached to the raspberry pi and the controller is programmed using opencv in such a way that only the registered faces could open the door.

Android Based Security Lock for Bike Ignition

Many times we forgot to carry the key of our bike or key gets lost in these case it is really difficult to get the bike started .this project is designed to solve this purpose . Concept behind this project is of relay operating using password entered through android mobile. It also turns on buzzer when wrong password is entered.

Intelligent RFID biometric enabled dual security lock in the banking environment

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 $${\mathcal {O}}(1)$$ .

Chlad Apock-Iot Based Security Lock Safety at Your Hands

In today’s hectic schedule, it is obvious to forget to lock the doors or off the lights and then check for it frequently. Obsessive Compulsive Disorder(OCD) is an anxiety disorder in which some people have recurring ,unwanted thoughts, ideas or sensations that make them feel driven to do something repetitively .OCD can make it difficult for the people to perform everyday activities. This paper is all about modernising the conventional door lock and smart lighting system in order to help people. The product is solution to several difficulties faced by people experiencing .Here we use a leading edge technology namely mobile application for checking the status of door and light. The uniqueness of this product relies on the fact that using new technologies along with old ones will result in an agile and more dynamic system. Furthermore, the biggest advantage of the proposed system over existing ones is that it can be easily installed with minimal requirement of infrastructures and planning.

GSM Based Security Lock Using Linear Actuator

Security describes the protection of life and property. There are doors to keep people out, key locks and chain reinforce the mode of security. Doors are being made of metals not wood anymore. Influential persons in our society have bullet proof doors to ensure a good measure of security of self and family. This has brought about the need to review the reliability of already existing systems and look into the possibility of creating better system that are smarter and more secure. The existing system largely consists of physical lock and keys. The problem with existing system is that it can cause security issues with the case of burglaries. The burglar can grapple with vault key and study it which can cause considerable damage to the property and valuable materials in the safe. Also, physically locks can be opened by lock picks. The main idea of designing the GSM based security locking system is to provide many modern security features than manual operated mechanical lock. The proposed locking system uses Microcontroller, GSM modem, switching circuit, relay and Linear Actuator.