• Title/Summary/Keyword: PIR Sensor

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Intruder Detection System Based on Pyroelectric Infrared Sensor (PIR 센서 기반 침입감지 시스템)

  • Jeong, Yeon-Woo;Vo, Huynh Ngoc Bao;Cho, Seongwon;Cuhng, Sun-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.5
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    • pp.361-367
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    • 2016
  • The intruder detection system using digital PIR sensor has the problem that it can't recognize human correctly. In this paper, we suggest a new intruder detection system based on analog PIR sensor to get around the drawbacks of the digital PIR sensor. The analog type PIR sensor emits the voltage output at various levels whereas the output of the digitial PIR sensor is binary. The signal captured using analog PIR sensor is sampled, and its frequency feature is extracted using FFT or MFCC. The extracted features are used for the input of neural networks. After neural network is trained using various human and pet's intrusion data, it is used for classifying human and pet in the intrusion situation.

A Design of Standing Human Body Sensing System Using Rotation of a PIR Sensor (초전형 적외선 센서 회전방식을 이용한 정지 인체 감지 시스템에 관한 연구)

  • Cha, Hyeong-Woo;Cho, Min-Yyeong
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.1
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    • pp.129-136
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    • 2016
  • A novel sensing system for standing and moving human body using PIR(pyroelectric infrared) sensor was development. The system consists of power supply, interface circuit of PIR sensor, small stepping motor, and digital control. The detecting principle for stop human body is detecting the human body when the stepping motor sticking the PIR sensor and the fresnel lens has rotated by 180 degree at six second and has stopped the motor for no detecting signal of human body. We developed control algorism for proposed the detection system. The experimentation shows that the detector system had detected length and angle were 6m and 30 degree against as standing and moving human body with $37^{\circ}C$.

Reduction of False Alarm Signals for PIR Sensor in Realistic Outdoor Surveillance

  • Hong, Sang Gi;Kim, Nae Soo;Kim, Whan Woo
    • ETRI Journal
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    • v.35 no.1
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    • pp.80-88
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    • 2013
  • A passive infrared or pyroelectric infrared (PIR) sensor is mainly used to sense the existence of moving objects in an indoor environment. However, in an outdoor environment, there are often outbreaks of false alarms from environmental changes and other sources. Therefore, it is difficult to provide reliable detection outdoors. In this paper, two algorithms are proposed to reduce false alarms and provide trustworthy quality to surveillance systems. We gather PIR signals outdoors, analyze the collected data, and extract the target features defined as window energy and alarm duration. Using these features, we model target and false alarms, from which we propose two target decision algorithms: window energy detection and alarm duration detection. Simulation results using real PIR signals show the performance of the proposed algorithms.

Detection of Moving Direction using PIR Sensors and Deep Learning Algorithm

  • Woo, Jiyoung;Yun, Jaeseok
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.3
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    • pp.11-17
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    • 2019
  • In this paper, we propose a method to recognize the moving direction in the indoor environment by using the sensing system equipped with passive infrared (PIR) sensors and a deep learning algorithm. A PIR sensor generates a signal that can be distinguished according to the direction of movement of the user. A sensing system with four PIR sensors deployed by $45^{\circ}$ increments is developed and installed in the ceiling of the room. The PIR sensor signals from 6 users with 10-time experiments for 8 directions were collected. We extracted the raw data sets and performed experiments varying the number of sensors fed into the deep learning algorithm. The proposed sensing system using deep learning algorithm can recognize the users' moving direction by 99.2 %. In addition, with only one PIR senor, the recognition accuracy reaches 98.4%.

Real-time People Occupancy Detection by Camera Vision Sensor (카메라 비전 센서를 활용하는 실시간 사람 점유 검출)

  • Gil, Jong In;Kim, Manbae
    • Journal of Broadcast Engineering
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    • v.22 no.6
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    • pp.774-784
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    • 2017
  • Occupancy sensors installed in buildings and households turn off the light if the space is vacant. Currently PIR (pyroelectric infra-red) motion sensors have been utilized. Recently, the researches using camera sensors have been carried out in order to overcome the demerit of PIR that can not detect static people. If the tradeoff of cost and performance is satisfied, the camera sensors are expected to replace the current PIRs. In this paper, we propose vision sensor-based occupancy detection being composed of tracking, recognition and detection. Our softeware is designed to meet the real-time processing. In experiments, 14.5fps is achieved at 15fps USB input. Also, the detection accuracy reached 82.0%.

Manufacturing of Non-contact Door Lock Providing Access Detection for Elderly Living Alone using PIR Sensors Based on Arduino (아두이노 기반의 PIR 센서를 이용한 독거노인 출입감지 및 비접촉 도어락 구현)

  • Jung, Ae-Ri;Cho, Young-bok
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.106-107
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    • 2021
  • This paper implements a door lock using PIR sensor based on Arduino. When the PIR sensor detects movement, the door lock device is activated and RFID tags can be used. This door rock can prevent lonely death by detecting whether the resident is in or out, and it also has hygienic advantage because it unlocks without contact by using RFID. In addition, as door locks are frequently used in everyday life, the above-mentioned implementation can also increase participation in hands-on lectures.

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A Wireless Sensor Network Systems to Identify User and Detect Location Transition for Smart Home (지능형 주택을 위한 구성원 식별 및 위치 이동 감지 센서 네트워크 시스템)

  • Lee, Seon-Woo;Yang, Seung-Yong
    • Journal of KIISE:Information Networking
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    • v.37 no.5
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    • pp.396-402
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    • 2010
  • The tracking of current location of residents is an essential requirement for context-aware service of smart houses. This paper presents a wireless sensor network system which could detect location transition such as entrance and exit to a room and also identify the user who passed the room, without duty of wearing any sort of tag. We designed new sensor node to solve the problem of short operation lifetime of previous work[1] which has two pyroelectric infrared (PIR) sensors and an ultrasonic sensor, as well as a 2.4 GHz radio frequency wireless transceiver. The proposed user identification method is to discriminate a person based on his/her height by using an ultrasonic sensor. The detection idea of entering/exiting behavior is based on order of triggering of two PIR sensors. The topology of the developed wireless sensor network system is simple star structure in which each sensor node is connected to one sink node directly. We evaluated the proposed sensing system with a set of experiments for three subjects in a model house. The experimental result shows that the averaged recognition rate of user identification is 81.3% for three persons. and perfect entering/exiting behavior detection performance.

Design and Implementation of Bird Repellent System (조류 퇴치 시스템의 설계 및 구현)

  • Hong, Hyunggil;Cho, Yongjun;Woo, Senongyong;Song, Suhwan;Oh, Jangseok;Yun, Haeyong;Kim, Dae Hee
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.18 no.8
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    • pp.104-109
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    • 2019
  • Damage caused by wild animals such as pheasants and magpies is a problem in rural areas. A bird repellent system based on sensing and repelling farm pest animals and birds is proposed herein. This system is equipped with a bird model part on a supporting platform and comprises a sound source generator, a system control user interface, and a sensor in the center. The sensor is composed of an illuminance sensor and a PIR sensor. The illuminance sensor distinguishes between day and night, whereas the PIR sensor detects birds or wild animals and outputs them from the sound generator. The entire system can be managed easily by the user interface and system control.

Implementation of a Unmanned Alarm Robot Using PIR Sensor (PIR 센서를 이용한 무인 경보 로봇 구현)

  • Park, Jae-Young;Choi, Hyun-Suk;Kim, Jong Tae
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.2289-2290
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    • 2008
  • 본 논문은 행동의 제약을 목적으로 하는 부정적인 의미의 경보, 즉 원하지 않는 침입을 막는 의미에서의 경보를 벗어나, 긍정적인 의미인 알림의 의미로 사용 될 수 있는 무인 경보 로봇의 구현을 목적으로 한다. 이를 위하여 적외선을 발산하는 인체나 동물의 움직임을 감지할 수 있는 PIR(passive infrared sensor)센서를 이용하였다. 이를 이용하기 위해 PIR센서와 무인 경보 로봇의 작동 원리에 대해 설명하고 무인 경보 로봇이 이용 될 수 있는 응용분야에 대해 소개한다.

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