KR20200120975A - Method of detection only Human body using output data of PIR sensor - Google Patents

Method of detection only Human body using output data of PIR sensor Download PDF

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Publication number
KR20200120975A
KR20200120975A KR1020190039960A KR20190039960A KR20200120975A KR 20200120975 A KR20200120975 A KR 20200120975A KR 1020190039960 A KR1020190039960 A KR 1020190039960A KR 20190039960 A KR20190039960 A KR 20190039960A KR 20200120975 A KR20200120975 A KR 20200120975A
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South Korea
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human body
present
pir
motion vector
pet
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KR1020190039960A
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Korean (ko)
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이강동
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주식회사 이노베스트
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Priority to KR1020190039960A priority Critical patent/KR20200120975A/en
Publication of KR20200120975A publication Critical patent/KR20200120975A/en

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
    • G08B13/19606—Discriminating between target movement or movement in an area of interest and other non-signicative movements, e.g. target movements induced by camera shake or movements of pets, falling leaves, rotating fan
    • G01K13/004—
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00—Thermometers specially adapted for specific purposes
    • G01K13/20—Clinical contact thermometers for use with humans or animals
    • G01K13/223—Infrared clinical thermometers, e.g. tympanic
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V9/00—Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00
    • G01V9/005—Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00 by thermal methods, e.g. after generation of heat by chemical reactions
    • G06K9/00362—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands

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  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geophysics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Photometry And Measurement Of Optical Pulse Characteristics (AREA)
  • Burglar Alarm Systems (AREA)
  • Geophysics And Detection Of Objects (AREA)

Abstract

The present invention relates to a method for determining a human body by using the delta transition of a specific vector and a motion vector value extracted by the FFT of a wavelength and the intensity of an infrared ray extracted from a pyro electric sensor for detecting an area of the wavelength, the intensity, and the movement patterns of the infrared ray.

Description

수동 적외선(PIR:Passive Infrared) 센서의 출력 데이터를 활용하여 인체만 감지하는 방법 {Method of detection only Human body using output data of PIR sensor} Method of detecting only human body using output data of PIR sensor by using output data of PIR (Passive Infrared) sensor

본 발명은 PIR의 적외선을 이용하는 인체 감지 센싱하는 방법에 관한 것이다, 일반적으로 적외선 감지센서는 인체 및 동물을 구별 못 하는데 반하여 본 발명은 인체을 구별하여 동작 하므로써 동작의 오류 및 오보를 줄이므로 오보에 의한 영상 조회 부하를 줄이므로써 모니터링 업무의 비용을 절감할 수 있다The present invention relates to a method of detecting a human body using infrared rays of PIR. In general, an infrared sensor cannot distinguish between a human body and an animal. The cost of monitoring work can be reduced by reducing the inquiry load.

일반적인 PIR 적외선 센서는 무인 감지 센서나 카메라에서 많이 사용되고 있으며 이때 사용되는 PIR 센서는 인체이나 동물에서 나오는 적외선의 패턴을 구별 하지 못 함므로써 출입자와 동물을 구별하지 못하고 오보를 발생시키는데 본 발명은 인체에서 나오는 적외선 파장(Infrared light wavelength)과 세기(Intensity)의 FFT로 추출된 특정 벡터(Vector)와 모션 벡터 값(Motion Vector Value)의 델타(delta) 변이에 의하여 인체인지 동물인지 감지 한다.In general, PIR infrared sensors are widely used in unmanned sensors or cameras, and the PIR sensor used at this time cannot distinguish between a person entering and an animal because the pattern of infrared rays emitted from the human body or animal is not distinguished and a misinformation is generated. It detects whether it is a human body or an animal by the delta shift of the specific vector and motion vector value extracted by the FFT of the infrared light wavelength and intensity that comes out.

이러한 과제를 해결하기 위해, 본 발명은 PIR센서에서 나오는 적외선 파장이 인체, 동물 및 물체등에서 발생하는 적외선 파장(Infrared light wavelength)과 세기(Intensity)의 FFT로 추출된 특정 벡터(Vector)와 모션 벡터 값(Motion Vector Value)의 델타(delta) 변이를 이용한 인체인지 여부를 판단하는데 목적이 있다.In order to solve this problem, the present invention provides a specific vector and motion vector extracted by FFT of the infrared light wavelength and intensity generated in human body, animal, and object, etc. of the infrared wavelength emitted from the PIR sensor. The purpose is to determine whether it is a human body using a delta variation of the motion vector value.

본 발명은 파장의 영역 및 세기로 인체의 온도를 감지하고 움직임의 패턴으로 크기를 판단하여 인체 여부를 파악한다. PIR에서 감지된 적외선 센싱 정보의 특정 벡터 추출 및 변이 값이 임계치를 넘으면 인체임을 알려주고, 특정 벡터 추출 및 변이 값이 임계치를 넘지 않으면 인체가 아님을 알려준다. The present invention detects the human body temperature by detecting the temperature of the human body by the range and intensity of the wavelength, and determining the size by the movement pattern. When a specific vector extraction and mutation value of the infrared sensing information detected by the PIR exceeds a threshold, it is notified that it is a human body, and if a specific vector extraction and mutation value does not exceed the threshold, it is notified that it is not a human body.

본 발명은 적외선으로 인체인지, 동물인지를 구별하여 오보를 줄임으로써, 무단 침입시 경보하는 보안 시스템의 오보를 줄임으로써 경비 비용을 개선하는 효과가 있다.The present invention has an effect of reducing misinformation by distinguishing whether it is a human body or an animal with infrared rays, thereby reducing misinformation of a security system that alerts in the event of unauthorized intrusion, thereby improving security costs.

이 도면들은 본 발명의 예시적인 실시예를 설명하는데 참조하기 위함이므로, 본 발명의 기술적인 사상을 첨부한 도면에 한정해서 해석하여서는 안된다.
도 1은 본 발명의 실시에 구성도면.
도 2은 본 발명의 실시에 순서도These drawings are for reference only in describing exemplary embodiments of the present invention, and the technical idea of the present invention should not be construed as being limited to the accompanying drawings.
1 is a configuration diagram in an embodiment of the present invention.
Figure 2 is a flow chart in the implementation of the present invention

아래에서는 첨부한 도면을 참고로 하여 본 고안의 실시 예에 대하여 본 고안In the following, with reference to the accompanying drawings, the present design for an embodiment of the present invention

이 속하는 기술 분야에서 통상의 지식을 가진 자가 용이하게 실시할 수 있도록 상Awards to be easily implemented by those with ordinary knowledge in the technical field to which it belongs.

세히 설명한다. 그러나 본 고안에 관한 설명은 구조적 내지 기능적 설명을 위한 실Explain in detail. However, the description of the present invention is for structural or functional explanation.

시 예에 불과하므로, 본 고안의 권리범위는 본문에 설명된 실시 예에 의하여 제한Since it is only an example, the scope of the present invention is limited by the embodiments described in the text

되는 것으로 해석되어서는 아니 된다. 즉, 실시 예는 다양한 변경이 가능하고 여러It should not be interpreted as being. That is, the embodiment can be changed in various ways and

가지 형태를 가질 수 있으므로 본 고안의 권리범위는 기술적 사상을 실현할 수 있Since it can have various forms, the scope of the present invention can realize the technical idea.

는 균등물들을 포함하는 것으로 이해되어야 한다. 또한, 본 고안에서 제시된 목적Is to be understood as including equivalents. In addition, the purpose presented in the present invention

또는 효과는 특정 실시예가 이를 전부 포함하여야 한다거나 그러한 효과만을 포함Alternatively, the effect should be included in all of the specific embodiments or include only those effects.

하여야 한다는 의미는 아니므로, 본 고안의 권리범위는 이에 의하여 제한되는 것으Since it does not mean that it should be done, the scope of the rights of the present invention is limited thereto.

로 이해되어서는 아니 될 것이다Should not be understood as

아래 본 발명의 실시 예에 따른 PIR을 이용한 인체 감지 하는 방식에 대하여 도면을 참고로 하여 설명한다.A method of detecting a human body using PIR according to an embodiment of the present invention will be described below with reference to the drawings.

도 1은 본 발명이 실시 예에 따른 HW 블록도 이다.1 is a block diagram of an HW according to an embodiment of the present invention.

도 2는 본 발명이 실시 예에 따른 인체 감지 흐름도이다.2 is a flow chart of human body detection according to an embodiment of the present invention.

인체 감지 PIR을 구성함에 있어In configuring the human body detection PIR

렌즈(10)는 감지된 적외선을 받아들이는 부위로써 감지 각도를 조정하는 목적을 가지고 있다. 초전형 적외선(Pyroelectric InfraRed)(20)소자로써 렌즈에서 들어오는 적외선 신호를 받아들여 MCU의 Human Detection Engine(30) 인체를 감지하고 인체임이 확인되면 Alarm(40)출력을 보낸다.The lens 10 is a part that receives the detected infrared rays and has the purpose of adjusting the sensing angle. As a Pyroelectric InfraRed (20) device, it receives the infrared signal from the lens, detects the human body of the MCU's Human Detection Engine (30), and sends an Alarm (40) output when it is confirmed that it is a human body.

인체 감지 흐름도는 The flow chart of human body detection is

렌즈(10)를 통하여 들어온 적외선 신호의 Wavelength, Intensity의 FFT변환을 통하여 추출된 특정 벡터(vector)로 인체와 Pet 정보를 분석(120)한다. 이 분석된 값이 특정 인체와 애완동물이 있는지 판단하는 값(value)의 임계치(HP(Human&Pet) Threshold)(130)를 넘으면 인체와 애완 동물임을 판단하고 모션 벡터 값의 델타(Delta) 변이량의 분석(140)을 통하여 모션 벡터가 인체인지, 애완 동물인지(Human Threshold)를 구분한다. The human body and Pet information are analyzed 120 using a specific vector extracted through FFT transformation of the wavelength and intensity of the infrared signal received through the lens 10. If this analyzed value exceeds the threshold (HP (Human&Pet) Threshold) 130 of the value that determines whether a specific human body and pet exist, it is determined that it is a human body and a pet, and the delta variation of the motion vector value is analyzed. Through (140), whether the motion vector is a human body or a pet (Human Threshold) is distinguished.

☞ 도면의 주요 부분을 나타내는 부호들에 대한 설명을 기재
10: 렌즈
20: PIR
30: MCU 인체 감지 엔진
40: 알람부
100: 스타트
110: 초기화 셋업
120: PIR 적외선 파장, 세기 FFT 분석부
130: 인체&애완동물의 FFT 분석에 대한 임계치 판단부
140: 모션 벡터 분석부
150: 인체인지 모션 벡터 임계치 판단부
160: 인체인지 검출부
170: 알람부 ☞ Describe the symbols representing the main parts of the drawing
10: lens
20: PIR
30: MCU human body detection engine
40: alarm unit
100: start
110: Initial setup
120: PIR infrared wavelength, intensity FFT analysis unit
130: Threshold determination unit for FFT analysis of humans & pets
140: motion vector analysis unit
150: human body perception motion vector threshold determination unit
160: human body detection unit
170: alarm unit

Claims (2)

모션 벡터 값의 특정 변화된 델타 변화 값이 임계치를 넘으면 인체와 애완 동물임을 구별하는 정보를 특징으로 판별하는 방안.
A method for discriminating information that distinguishes between a human body and a pet when a specific changed delta change value of a motion vector value exceeds a threshold
 제 1항에 있어서,

모션 벡터 값으로 특정 벡터 값을 이용하여 인체와 애완동물임을 구별하는데 있어서 렌즈 와 PIR을 통하여 입력된 적외선의 인체 행동 패턴과 Pet 행동 패턴에 대한 학습된 AI 알고리즘을 이용하여 AP(Application processor)를 이용하여 판단하는 방안.

The method of claim 1,

In order to distinguish between a human body and a pet by using a specific vector value as a motion vector value, an application processor (AP) is used using the learned AI algorithm for the human body behavior pattern and Pet behavior pattern of infrared rays input through the lens and PIR. To judge.
KR1020190039960A 2019-04-05 2019-04-05 Method of detection only Human body using output data of PIR sensor KR20200120975A (en)

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