Lock Security System Research Articles

High Accuracy Bank Locker Security System using GSM and GPS

High Accuracy Bank Locker Security System using GSM and GPS

Google Assistant-Enabled Smart Lock System Using NodeMCU ESP8266 for IoT

Security is an important aspect that needs to be considered in a smart lock system. Conventional key tools currently have low security levels and are vulnerable to attacks. Therefore, this research aims to design a smart lock security system that utilizes Google Assistant features from Google and the NodeMCU ESP8266 module based on the Internet of Things (IoT). By using Google Assistant, users can control this smart lock with voice commands. The NodeMCU ESP8266 is used as the main controller in this system, responsible for receiving commands from Google Assistant and controlling the smart lock mechanism. A prototype implementation was conducted to test the performance of this smart lock security system. In the testing phase, the system's performance was measured based on voice command responsiveness, response speed, and the security it provides. The test results show that this smart lock security system offers a higher level of security compared to conventional key tools, with a security satisfaction rate of up to 90% among the 10 respondents related to the use of this device. With this research, it is expected to enhance community security by introducing a safer and more reliable smart lock tool based on virtual assistant. This security system, utilizing Google Assistant features and the NodeMCU ESP8266, can provide ease and convenience for users while maintaining optimal security.

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

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.

An automatic door lock security system based on convolutional neural network

Door lock security is important because it prevents intruders or unauthorized individuals from entering our homes or offices. Previous door lock security systems based on password, radio frequency identification and facial recognition are unreliable. Therefore, this project developed an automatic door lock security system using Convolutional Neural Network. Fifty faces of home owners were captured and trained using CNN. The system was tested at different distances and lightning condition and evaluated using accuracy, precision and f1 score. Results show that the developed system is 91.67% accurate. However, it is recommended that future work considers increasing dataset for model training to obtain more accurate results.

SISTEM KUNCI DAN ALARM OTOMATIS PADA PAGAR RUMAH MENGGUNAKAN FINGERPRINT BERBASIS ARDUINO UNO

Technology in this era is growing rapidly and cannot be separated in many significant influences. In this era many systems are very fast and efficient in a good and the best way including security system such as automatic lock security. The security system which are very much found in the community and one of the security system is security for house fence. In this system there is so many and dangerous problems that cause robbery and the fence being destroy by bad people starting from several case and a lot of criminals that been found because the lock security system is not in a good way. There is a lot of fence and house are not in a good and automatic security dan make everyone is safe and lock the house especially the fence without feeling worried.In this research the authors conducted some major impact based on the background that has been explain by creating an automatic lock system for fences using arduino technology which is the center and the core of this research and this research is using fingerprint as a tool to be able to open an automatic lock system and it can open.

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.

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.

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.

Di Rancang Bangun Sistem Keamanan Terhadap Kunci Ruangan Berbasis Bot Telegram Menggunakan Mikrokontroler Esp8266

A building or a house is a shelter and gathering of a family or group of people. One of the requirements for a safe house or building is a good door lock security system. Conventional doors use locks as a lock. This method has many security risks in terms of reliability and use. Among its weaknesses is that access to open or close keys can only be done by key holders and directly on the spot. Thus it will be difficult if you do security control of the door remotely, there is a risk of delay in handling the crime of theft, therefore an appropriate technology is needed to overcome this problem, namely a security system for the room where this system can be made based on Telegram Bot which uses a microcontroller. With the creation of such a system, the tools needed are microcontroller ESP8266 model, notepad ++ editors and Bascom AVR, using assembler programming language.

Smart Locker Security Control System

In this new-fangedworld crime has become an important issue to be resolved. Some of the real time incidents as of today are thefts at home, trespassers and so on. Though people have no time to look up on these things as they are held up in their daily life, they always want to ensure their safety of their beloved ones and beloved things. Sometimes they forget to look after their necessary things like keys, wallet, credit cards etc. Without these, they are unable to access their home or any place they want. Smart locker security control system has become indispensable in daily life. This paper explains about the design and development of a security system, using remotely monitoring technology and human face recognition technology, to confirm the identity of the visitor and to control door accessibility using Internet of Things (raspberry pi) and also the implementation and deployment of wireless control system and accessibility to a home environment for only authenticated people.This paper also explain simple IOT based low cost security Locker security system for domestic and office lockers.

Enhanced Security Methods of Door Locking Based Fingerprint

This paper presents an enhanced methodology in implementing and designing a security system for door locking purpose based on fingerprint, GSM technology, monitoring camera, alarm system and password system. This security system will provide enough security by limiting unauthorized people access and taking a record of those who pass through it. Sometimes unauthorized people or burglars try to break the door for evil intentions at a time when no one is available at a targeted place, so this paper introduces some security solutions for that problem and they are the main contribution of our paper. We introduce an alarm system to alert the people at the surroundings, GSM module that’s used to send an SMS message to the registered user’s (responsible person) and a web camera that’s used to take a video for a person who tries to break the lock, password keypad that’s used after fingerprint sensing to provide extra security. Definitely the registered users are the only persons who can access the lock, and the door closes after five seconds from the opening time. The method used to implement this experiment involves the use of a fingerprint scanner R305 that’s interfaced with Arduino microcontroller-ATMEGA328P to control the locking and unlocking process of a door. During all the opening and closing processes, the16x2 Liquid Crystal Display (LCD) displays some commands which can be used to instruct the users like, place your finger on the sensor, the door is opened, the door is closed, the message is sent, please enter the password etc. If an unregistered user tries to access the door using their fingerprints, automatically his/her access is denied. The proposed door lock security system is can be used at homes, offices, banks, hospitals, and in other governmental and private sectors. Our proposed system was tested in real-time and has shown competitive results compared to other projects using RFI and password.

Central Lock Car Security System Design Using E-KTP Identification

Currently, most motorized vehicle safety technologies, especially cars, still rely heavily on the manufacturer's default safety system from the car system itself. By using a security system from the factory default there are still shortcomings because a motorized vehicle or car can still be used by anyone and there is no age limit in its use. For that, we need a car safety system that is able to prevent the occurrence of car theft and underage drivers. The purpose of this research is to design a central lock security system for motor vehicles, especially cars, using e-KTP identification to improve the security system and reduce underage drivers. For the identification process of e-KTP ID using the RFID reader MFRC522. The RFID reader is connected to the Arduino Nano as a controller. The results of the research used the RFID reader to read e-KTP ID in a vertical and horizontal position with a distance of less than 12 mm. When there is an acrylic barrier and a glass barrier the maximum reading distance is less than 9 mm and the plate barrier cannot be read. The existence of obstacles makes reading the e-KTP card will be reduced.

Design prototype of a smart household touch sensitive locker security system based on GSM technology

This paper illustrates a portable domestic locker security system which is based on GSM (Global System for Mobile Communications) technology. A handcrafted low-cost touch sensitive box is designed (using Vero board) for the project which is one of the most attractive features of the system. The system will operate in a way that if there is any unexpected user, tries to touch any portion of the touch sensitive box, a feedback system will be turned on immediately. The feedback system will alert the property holder about the unexpected user by sending SMS (Short Message Service) and turning on an alarm system. The alarm system will be turned off only if it receives a specific SMS from the property holder. This system not only has the advantages of high sensitivity, small size and lightweight, but also it is easy to use. This system is featured with an uncomplicated design, convenient use, strong flexibility and reliable performance. Since the circuit in the system is simple and easy to contrivance, the system can be installed without any difficulty at homes & offices. It will also provide a good security in the vehicles and Automated Teller Machine (ATM) booths.

Two Sequential Authentication Method on Locker Security System Using Open-Sourced Smartphone

Lockers are commonly used to store luggages temporarly. For security purposes, lockers are equipped with conventional lock keys to keep it safe. In order to enhance the security aspects, there are several options by optimalizing current emerging technology that is two-factors authentication. This method is commencing by inputting some PIN (Personal Identification Numbers) code then it would trigger confirmation access by smartphone to unlock the lockers. By having this security schemes, any unauthorized users could not allowed any attempt to unseal the locker. More over, the owner could immediately recognize if there was any suspicious access. The result of this research shows that the system could unlock the locker by inputting the correct PIN and verified access by achieving the successful percentage of 100%. The averages response time is around 6.647 seconds, while any attempt to unlock the locker by inputting the incorrect access gain 100% percentages

High Protection Voice Identification based Bank Locker Security System with Live Image Authentication

High Protection Voice Identification based Bank Locker Security System with Live Image Authentication

Eye Vein based Locker Security System

Eye Vein based Locker Security System