• Title/Summary/Keyword: digital door lock system

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Design of Digital DoorLock Using RFID Module (RFID 모듈을 이용한 디지털 도어락의 설계)

  • Kim, Yun Su;Kim, Jung Tae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.59-60
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    • 2013
  • In this paper, we implemented a digital doorlock using microprocessor Atemega128 made in Atmel. We added RFID reader to identify different existing Doorlock. To operate the system, first, if RFID reader recognize card, LCD is used to operate password input message. Second, if password is correct, door is opened. But if password is incorrect, door will not be open. To extend security intensity for opening door key, we used RFID module and can operate it easily.

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Performance of pilot-based signal detection for digital IoT doorlock system (디지털 도어락 시스템을 위한 파일럿 기반 신호검출 성능)

  • Lee, Sun Yui;Hwang, Yu Min;Sun, Young Ghyu;Yoon, Sung Hoon;Kim, Jin Young
    • Journal of IKEEE
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    • v.22 no.3
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    • pp.723-728
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    • 2018
  • This paper proposes a signal detection method for IoT door lock system which is a new application field of VLC (Visible Light Communication). This paper describes the signal detection technique for user recognition that needs to be overcome in order to apply VLC to door lock system which has a demand for new technology due to security issue. This system has security and high signal detection characteristics because it uses existing infrastructure to communicate with visible light. In order to detect the signal using FFT, the signal of the user who accesses the authentication channel based on the pilot signal is detected, and the performance of the false alarm probability and detection probability is shown in the channel model.

A Indoor Management System using Raspberry Pi (라즈베리 파이를 이용한 실내관리 시스템)

  • Jeong, Soo;Lee, Jong Jin;Jung, Won Ki
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.9
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    • pp.745-752
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    • 2016
  • In the era of the Internet of Things, where all physical objects are connected to the Internet, we suggest a remote control system using a Raspberry Pi single-board computer with ZigBee, which can turn an indoor light-emitting diode (LED) and a multiple-tap on and off, and with a smart phone can control the brightness of the LED as well as an electronic door lock. By connecting an infrared (IR) transmitter module to the Raspberry Pi, we can control home appliances, such as an air conditioner, and we can also monitor indoor images, indoor temperatures, and illumination by using a smart phone app. We developed a method of finding out IR transmission codes required for remote-controllable appliances with an AVR micro-controller. We suggest a method to remotely open and shut an office door by novating the door lock. The brightness level of an LED (between 0 and 10) can be controlled through a PWM signal generated by an ATmega88 microcontroller. A mutiple-tap is controlled using an ATmega32, a photo-coupler, and a TRIAC. The signals for measured temperature and illumination are converted from analog to digital by using the ATtiny44A microcontroller transmitting to a Raspberry Pi through SPI communication. Then, we connect a camera to the CSI head of the Raspberry Pi. We can turn on the smart multiple-tap for a certain period of time, or we can schedule the multi-tap to turn on at a specific time. To reduce standby power, people usually pull out a power code from multiple-taps or turn off a switch. Our method helps people do the same thing with a smart phone, if they are away from home.

Design and Implementation of a 13.56 MHz RFID System (13.56 MHz RFID 시스템 설계 및 구현)

  • Lee, Sang-Hoon
    • Journal of the Institute of Convergence Signal Processing
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    • v.9 no.1
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    • pp.46-53
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    • 2008
  • This paper presents a 13.56 MHz RFID reader that can be used as a door-lock system for smart home security. The RFID reader consists of a transmitter, a receiver, and a data processing block. To verify the operation of the developed RFID reader, we present both a PSPICE simulation for transmitter/receiver and a digital simulation for data processing block. In particular, a CRC block for error detection of received data and a Manchester decoding block for position detection of collided data are designed using VHDL. In addition, we applied a binary search algorithm for multi-tag anti-collision. The anti-collision procedure is carried out by PIC microcontroller on software. The experimental results show that the developed reader can provide the right multi-tag recognition.

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Smart Outlet System for Single-person Household based on IoT (Internet of Things) (사물 인터넷 기반의 1인 가구를 위한 스마트 콘센트 시스템)

  • Kim, Hye-Suk;Park, Byeong-Ju;Cho, Young-Ju
    • Journal of Digital Contents Society
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    • v.18 no.5
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    • pp.895-904
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    • 2017
  • In this paper, we propose an IoT based smart outlet system for one-person household with electric safety, electric energy consumption management and transmission of messages to the reserved contacts by connecting the emergency network. The proposed smart outlet system is implemented by parsing packet data and protocol between server, module, application and WiFi AP receiver. The WiFi AP built for communication can be used not only for the outlet but also for the gas barrier, the door lock and the like. In addition, the proposed method can provide the remote monitoring function by receiving the amount of power of the receptacle received through the AC current sensor (SCT-013) in real time. The smart outlet system is expected to be capable of automatically shutting off the power in case of emergency through automatic power use analysis in addition to the standby power cutoff function.

A Real-time Face Recognition System using Fast Face Detection (빠른 얼굴 검출을 이용한 실시간 얼굴 인식 시스템)

  • Lee Ho-Geun;Jung Sung-Tae
    • Journal of KIISE:Software and Applications
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    • v.32 no.12
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    • pp.1247-1259
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    • 2005
  • This paper proposes a real-time face recognition system which detects multiple faces from low resolution video such as web-camera video. Face recognition system consists of the face detection step and the face classification step. At First, it finds face region candidates by using AdaBoost based object detection method which have fast speed and robust performance. It generates reduced feature vector for each face region candidate by using principle component analysis. At Second, Face classification used Principle Component Analysis and multi-SVM. Experimental result shows that the proposed method achieves real-time face detection and face recognition from low resolution video. Additionally, We implement the auto-tracking face recognition system using the Pan-Tilt Web-camera and radio On/Off digital door-lock system with face recognition system.

An Input Method for Decimal Password Based on Eyeblink Patterns (눈깜빡임 패턴에 기반한 십진 패스워드 입력 방법)

  • Lee, Seung Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.5
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    • pp.656-661
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    • 2022
  • Password with a combination of 4-digit numbers has been widely adopted for various authentication systems (such as credit card authentication, digital door lock systems and so on). However, this system could not be safe because the 4-digit password can easily be stolen by predicting it from the fingermarks on the keypad or display screen. Furthermore, due to the prolonged COVID-19 pandemic, contactless method has been preferred over contact method in authentication. This paper suggests a new password input method based on eyeblink pattern analysis in video sequence. In the proposed method, when someone stands in front of a camera, the sequence of eyeblink motions is captured (according to counting signal from 0 to 9 or 9 to 0), analyzed and encoded, producing the desired 4-digit decimal numbers. One does not need to touch something like keypad or perform an exaggerated action, which can become a very important clue for intruders to predict the password.

A Design and Implementation of NFC Bridge Chip (NFC 브릿지 칩 설계 및 구현)

  • Lee, Pyeong-Han;Ryu, Chang-Ho;Chun, Sung-Hun;Kim, Sung-Wan
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.3
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    • pp.96-101
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    • 2015
  • This paper describes a design and implementation of the NFC bridge chip which performs interface between kinds of devices and mobile phones including NFC controller through NFC communication. The NFC bridge chip consists of the digital part and the analog part which are based on NFC Forum standard. Therefore the chip treats RF signals and then transforms the signal to digital data, so it can interface kinds of devices with the digital data. Especially the chip is able to detect RF signals and then wake up the host processor of a device. The wakeup function dramatically decreases the power consumption of the device. The carrier frequency is 13.56MHz, and the data rate is up to 424kbps. The chip has been fabricated with SMIC 180nm mixed-mode technology. Additionally an NFC bridge chip application to the blood glucose measurement system is described for an application example.