KR20100089125A - Image sensor for unmanned surveillance sensor - Google Patents

Image sensor for unmanned surveillance sensor Download PDF

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KR20100089125A
KR20100089125A KR1020090008217A KR20090008217A KR20100089125A KR 20100089125 A KR20100089125 A KR 20100089125A KR 1020090008217 A KR1020090008217 A KR 1020090008217A KR 20090008217 A KR20090008217 A KR 20090008217A KR 20100089125 A KR20100089125 A KR 20100089125A
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image
sensor
data
transmitted
transmitting
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Korean (ko)
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라인식
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라인식
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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
    • 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
    • G08B13/19654—Details concerning communication with a camera

Abstract

PURPOSE: An unmanned surveillance sensor using an image sensor is provided to prevent costs and damage due to a false alarm by decreasing a false alarm ratio. CONSTITUTION: The movement of an object is sensed by using an image sensor and a DSP step(S200). The sensed image data is transmitted. An infrared controller controls the external brightness(S120). The data is transmitted to the DSP step. The transmitted data is preprocessed(S20). The data is transmitted by a serial transmission step(S60) only when the movement of the object is sensed. The data is transmitted by a network transmission step(S80) only when the movement of the object is sensed. A contact signal is transmitted to a main device of the unmanned guard instrument by a contact switch step(S70).

Description

영상 이미지 센서를 이용한 무인감시 감지기 { Image Sensor for Unmanned Surveillance Sensor }Image Sensor for Unmanned Surveillance Sensor

본 발명은 무인 경비용 열선 감지기의 오경보를 대처하기 위한 센서로 영상처리 기술을 이용한 센서 크기의 단말 장치로 영상 처리 기술과 임베디드 시스템 기술을 접목한 단말 장치를 발명하였다.The present invention invented a terminal device incorporating image processing technology and embedded system technology as a sensor size terminal device using an image processing technology as a sensor for coping with a false alarm of an unmanned security hot wire detector.

본 발명의 단말 장치는 단독형으로 전원만 인가하면 자동으로 내부 프로세서 수행하여 인체 감지 기능을 수행하며 인체 및 감지 영상의 변화가 발생하면 자동으로 경보를 전달할 수 있는 기능이 내장되어 있다.The terminal device of the present invention is a stand-alone type and performs an internal processor automatically by only applying power, and has a built-in function to automatically transmit an alarm when a change in the human body and the detected image occurs.

또한, 무인방범 기기 및 각종 감시 센서로 활용을 할 수 있으며 최근에는 영상 무인경비 시스템도 운영되는데 본 발명은 영상 전송 단말장치로 운영이 가능하며, 감지 영상을 정지화상으로 전송할 수 있는 기능도 내장되어 있다.In addition, it can be used as an unmanned crime prevention device and various surveillance sensors, and recently, the video unmanned security system is also operated. The present invention can be operated as an image transmission terminal device, and also has a function for transmitting a detected image as a still image. have.

본 발명은 무인경비 센서 중 열선 감지기의 오동작으로 인한 무인 경비의 문제점을 완벽하게 보완하고 열선 감지기의 문제점을 보완하여 본 발명에서는 새로운 개념의 센서를 발명하였다.The present invention completely complements the problem of unmanned expenses due to malfunction of the hot wire detector among the unmanned security sensor, and invents a sensor of a new concept in the present invention by supplementing the problem of the hot wire detector.

열선 감지기의 오경보 원인은 온도의 변화 및 열적외선 차단시는 감지가 전혀 동작을 하지 않는 단점이 있어, 무인경비 업체에선 오동작에 의한 출동이 자부 발생한다, 또한 침입자가 우비를 입고 침입할 경우 감지가 되지 않아 경비회사 및 가입자는 막대한 재산상의 피해를 입게 된다. 이러한 문제점이 무인 경비회사의 가장 큰 문제점으로 대두되어 있지만 현실적으로 열선 감지기를 대처할 수 있는 센서가 없는 실정이다. The cause of the false alarm of the hot wire detector is that the detection does not operate at all when the temperature is changed and the thermal infrared cut off, so the unmanned security company is susceptible to malfunction due to a malfunction. As a result, security companies and subscribers suffer significant property damage. This problem is the biggest problem of the unmanned security company, but in reality there is no sensor that can cope with the hot wire detector.

열선 감지기의 단점을 영상 센서가 가장 완벽하게 보완할 수 있으며 야간 및 주간에도 자동으로 조도를 조절할 수 있으며, 또한 야간에는 적외선램프를 내부적으로 부착하여 어두운 상태에서도 감지를 할 수 있으며, 오동작으로 인한 재산상의 피해를 막을 수가 있는 제품을 발명하였다.The image sensor can completely compensate for the disadvantages of the hot wire detector, and it can adjust the illumination automatically at night and daytime. Also, at night, the infrared lamp can be attached internally to detect in the dark. Invented a product that can prevent damage to the wound.

또한, 열선 감지기의 가격이 싸다는 점 때문에 현재 가장 많이 사용되는 센서 중 하나이다. It is also one of the most commonly used sensors because of the low cost of heat detectors.

본 발명에서는 센서의 가격을 저가로 생산할 수 있으며 열선 감지기를 대처할 수 있다.In the present invention, the price of the sensor can be produced at low cost and the heat detector can be coped with.

본 발명에서 해결하고자 하는 것은 무인경비용 센서화 하는 기술로 이미지 센서와 영상 신호처리 장치를 소형화 및 패키지화하여 가격을 저렴하게 생산하는 방법과 무인경비 개시시 침입자를 식별하는 센서 기능을 발명하고자 한다. 또한, 오경보을 없애기 위한 장치로 야간에는 적외선 램프를 자동으로 작동하는 기능을 가자고 있어야 한다. 영상 축출 방법은 영상을 캡처 한 다음, 2번째 영상과 지속적으로 비교하여 차영상이 있는지를 우선 선별하고 선별된 영상이 크기 및 형태와 이동형태를 조합하여 형상화한 다음 판정을 한다. The present invention aims to invent a method for producing an unmanned cost sensor and a method for producing an inexpensive price by miniaturizing and packaging an image sensor and an image signal processing device, and a sensor function for identifying an intruder at the start of the unmanned cost. In addition, as a device to eliminate false alarms should have the ability to automatically operate the infrared lamp at night. The image extraction method captures an image, then continuously compares it with a second image, first selects whether there is a difference image, forms the selected image by combining a size, a shape, and a moving form, and then makes a determination.

무인경비 기기 중 주장치와 본 발명과의 인터페이스 하기 위한 네트워크 전송기(S60) 방법은 시리얼전송기(S80) 방법과 접점 스위치(S70)등 세 가지를 기능을 통신하는 방법을 고안하였다.Among the unmanned security devices, the network transmitter (S60) method for interfacing with the main device and the present invention devised a method of communicating three functions such as a serial transmitter (S80) method and a contact switch (S70).

특정 공간에서의 오경보를 없애기 위한 방법 중 여러 가지 방안이 있는데 그 중에서 본 발명은 이동 경로 및 차영상 패턴 방법으로 알고리즘을 사용하여 오경보를 줄이고, 야간 및 주간에 영상이 명암이 어두워지면 자동으로 적외선 램프가 작동하여 항상 깨끗한 영상을 추출할 수 있도록 하였다, 추출한 이미지는 영상 알고리즘에 통하여 영상을 검출하게 된다. Among the methods for eliminating false alarms in a specific space, the present invention reduces moving false alarms using algorithms as moving paths and difference image pattern methods, and automatically turns infrared lamps when images are dark and dark at night and day. The image is detected so that it is always possible to extract a clean image. The extracted image is detected by an image algorithm.

또한, 무인경비 주장치와 인터페이스 하기 위한 접점 방식과 데이터 방식을 원 칩에 프로그래밍하여 임베디드화 하였다. 그러므로 부품의 사용을 최소화하고 단일 칩을 사용하여 단가를 최소화하였다.In addition, the contact method and data method for interfacing with the unmanned security controller are programmed and embedded in one chip. Therefore, the use of parts is minimized and the unit cost is minimized by using a single chip.

본 발명에서는 영상처리 부분의 알고리즘 검증을 위하여 컴퓨터로 시뮬레이션 과정을 수행하게 한다. 시뮬레이션에서 각 기능의 알고리즘을 검증한 다음 DSP 에 프로그래밍하여 디버그를 수행한다, 디버그 수행중에는 컴퓨터와 인터페이스로 연결시켜 문제점 및 에러 사항을 실시간으로 감시할 수 있다, 또한 각종 전송 기능은 무인경비 기기 주장치와 연동토록 프로토클 통신을 하게 된다.In the present invention, a computer simulation process is performed to verify the algorithm of the image processing part. In the simulation, the algorithm of each function is verified and then programmed into the DSP to perform debugging. During the debugging, the interface with a computer can be monitored for problems and errors in real time. Protocol communication will be performed.

사전에 오경보를 방지하기 위한 샘플을 제작하여 네트워크 통신 방식으로 오동작 경보 상황을 실시간으로 탐지할 수 있도록 검증할 것이다.In order to prevent false alarms in advance, samples will be produced and verified to detect false alarms in real time through network communication.

오경보를 없애는 방안은 알고리즘의 단순화와 적외선 램프의 제어로 인한 깨끗한 영상을 감시할 수 있도록 설계되어 있다.The method of eliminating false alarms is designed to simplify the algorithm and to monitor the clear image by the control of the infrared lamp.

본 발명은 무인경비 시장에서의 열선 센서의 오경보로 인한 경비원의 출동과 관제 오경보등의 같은 여러 가지 문제점을 내포하고 있다, 이에 대한 문제점 해결을 위하여 오경보가 거의 없는 영상 센서를 발명하게 되었다. The present invention includes various problems such as the dispatch of security guards and the control of false alarms due to the false alarm of the hot wire sensor in the unmanned security market, and to solve the problem, an image sensor having almost no false alarms has been invented.

무인 경비용으로 사용되는 열선 센서를 대처하여 오경보를 줄일 수 있으면 경제적인 면과 오경보에 대한 피해를 대폭 줄일 수 있다, 회원 1만명의 회원 수를 가진 무인 경비업체의 일일 오경보률이 3% 정도일 때 가정하면 일일 300건의 현장 출동이 일어나는 현실이다. 이러한 상황에서의 오경보율을 줄이면 업체의 비용 절감 및 재산상의 피해를 줄일 수 있는 효과를 볼 수 있다. 또한, 단독형으로 네트워크에 연결하면 알람 발생할 때만 데이터를 전송하게 되므로 영상용 경비 시스템으로도 운영이 가능하다.If the false alarm can be reduced by dealing with the hot wire sensor used for the unmanned security, the economical and the damage to the false alarm can be greatly reduced. When the unmanned security company with 10,000 members has a daily false alarm rate of about 3% Assuming 300 daily dispatches take place. In this situation, reducing the false alarm rate can reduce the company's cost and damage to property. In addition, when connected to the network as a stand-alone type, the data is transmitted only when an alarm occurs, so it can be operated as a security system for video.

본 발명은 영상 알고리즘은 기본 기능만 설명하고자 한다. 영상 알고리즘은 여러 가지 방법들이 있으며 또한, 관련 기술도 많이 공개되어 있다, 도 1은 임베디드한 DSP 내부 블록도 이며 카메라 이미지센서 단계(S10)와 디지털 시그널 프로세서 DSP 단계(S200)의 내부에는 프로그램 알고리즘 단계(S20, 30, 40, 50) 별로 구성되고 알고리즘에 의한 판정 단계(S50) 후단에는 신호를 전송하는 단계(S60, 70, 80)로 구분되어 임베디드화 되어 있다.In the present invention, only the basic functions of the image algorithm will be described. There are various methods of the image algorithm, and many related technologies are also disclosed. FIG. 1 is a block diagram of an embedded DSP and a program algorithm step inside a camera image sensor step S10 and a digital signal processor DSP step S200. (S20, 30, 40, 50) and is divided into the step (S60, 70, 80) for transmitting the signal embedded after the determination step (S50) by the algorithm is embedded.

상기 디지털 시그널 프로세서(DSP) 단계(S200)의 내부에는 각 단계별로 상기 이미지센서(S10)에서 들어온 영상 신호를 영상 전처리기 단계(S20)에서는 영상 프레임을 필요에 따라 적절한 프레임 조절을 포함하고 있고, 잡음을 제거하기 위한 여과를 하게 된다, 이때 사용되는 필터는 3 X 3 픽셀 크기의 평균화 필터를 사용하였다.In the digital signal processor (DSP) step (S200), the video signal input from the image sensor (S10) at each step includes an appropriate frame adjustment as necessary in the image preprocessor step (S20), Filtering is performed to remove noise. The filter used is an averaging filter with a size of 3 X 3 pixels.

상기 영상 전처리기 단계(S20)에 통한 잡음이 제거된 일정한 간격으로 영상을 읽어들여 메모리 단계(S90)에 저장한다, 저장된 영상 중 1번째 영상과 2번째 영상을 지속적으로 비교하여 차 영상이 있는지를 우선 선별하고 차영상 비교 단계 (S30)로 영상의 새로운 이미지를 검출할 수 있다, 상기 차영상 단계(S30)는 프레임 수를 평상시는 초당 2프레임 정도 비교한다, 상기 차영상 단계(S30)는 현재 영상 프레임과 전 영상 프레임의 차를 계산한다, 이것은 새로운 물체 등을 감지하기 위한 기본 접근 방식 중 하나이다, 차영상 값이 일정 크기의 값이 존재하면 움직임의 크기를 추정하는 것이고, 상기 패턴 검출 단계(S40)에 수행한다, 상기 단계의 크기 량을 저장하고 이동판정 단계(S50)에서 영상신호의 시간적인 변화량 즉, 시간상으로 연속된 두 영상의 차를 구하는 단계(S30, 40)에서 움직임의 판정 단계(S50)로 영상의 임직 임을 알 수 있다,The image is read at regular intervals from which the noise is removed by the image preprocessor step S20 and stored in the memory step S90. The first image and the second image of the stored images are continuously compared to determine whether there is a difference image. First, a new image of the image may be detected and the difference image comparing step S30 may be detected. In the difference image step S30, the number of frames is usually compared by about 2 frames per second. Calculate the difference between the image frame and the previous image frame. This is one of the basic approaches for detecting a new object, etc. The difference image value is to estimate the magnitude of the motion if a certain size value exists, and the pattern detection step ( In step S40, the magnitude of the step is stored, and in the moving determination step S50, a temporal change amount of the video signal, that is, a difference between two consecutive images in time is obtained. In the step (S30, 40) it can be seen that the determination of the movement in the step (S50) of the moving of the image,

상기 과정에서 영상의 이미지는 수치상으로 계산된 값을 메모리에 저장 단계(S90)로 저장하여 각 단계(S20, 30, 40, 50)별로 사용한다, 상기 단계(S200)에서 프로그램상에서 자동으로 수행되며, 이동 물체 판정(S50)이 되면 사용자의 선택에 따라 인터페이스단계(60, 70, 80)에 판정된 신호가 전송된다, In the above process, the image of the image is stored in the memory as a storage step (S90) and used for each step (S20, 30, 40, 50), and is automatically performed on a program in the step (S200). When the moving object is determined (S50), the determined signal is transmitted to the interface steps 60, 70, and 80 according to the user's selection.

상기 사용자 선택이 시리얼 전송기(S60)로 선택시는 최종 판정된 이미지를 전송하게 된다, 또한 상기 사용자가 점점 스위치(S70)를 선택시 이동물체로 판정시는 접점을 ON/OFF 시키며 무인경비 기기에 전송한다, 또한 상기 사용자가 네트워크전송기 단계(S80)를 선택시는 이더넷 네트워크로 영상이미지를 이동 물체가 감지된 후 데이터를 전송하게 된다,When the user selects the serial transmitter (S60), the final determined image is transmitted. Also, when the user gradually selects the switch (S70), when the user determines that the moving object is turned on, the contact point is turned ON and OFF. In addition, when the user selects the network transmitter step (S80), the data is transmitted to the Ethernet network after the moving object is detected, and then the data is transmitted.

상기 단계에서 야간 및 실내가 어두울 경우 라이트가 없을 경우는 영상을 깨끗하게 표현할 수 없어 움직임 영상 데이터를 축출하는데 큰 문제점이 된다, 상기의 단계에서 본 발명은 적외선 램프 단계(S130)를 이용하여 어두운 상황에서는 적외선제어기 단계(S120)에서 제어하여 적외선 램프를 킨다, 또한 밝기 감지는 적외선제어기(S120)에서 자동으로 수행하며 밝기의 값을 DSP 단계(S200)에 전송하여 전처리기 단계(S20)에 자동 이득 값으로 사용된다.If the night and the room is dark at this stage, there is no big light to shed the motion image data when there is no light, the present invention in the above step in the dark situation using the infrared lamp step (S130) Infrared controller step (S120) to turn on the infrared lamp, and also the brightness detection is automatically performed by the infrared controller (S120) and transmits the value of the brightness to the DSP step (S200) to the automatic gain value in the preprocessor step (S20) Used as

도 1은 본 발명에 따른 임베디드한 DSP 내부 블록도 이며 카메라 이미지센서 및 적외선램프 제어 단계 블록도.1 is a block diagram of an embedded DSP according to the present invention and a camera image sensor and an infrared lamp control step.

Claims (5)

이미지 센서와 DSP 단계(S200)를 이용한 움직임 물체를 감지하는 센서 기능과 검출된 이미지 데이터를 전송하는 방법Sensor function for detecting a moving object using the image sensor and the DSP step (S200) and a method of transmitting the detected image data 상기 제1항의 외부 밝기를 제어하는 적외선제어기 단계(S120)의 밝기 제어 방법과 상기 데이터를 DSP 단계(S200)에 전달하여 전처리기 단계(S20)에 활용하는 방법The brightness control method of the infrared controller step (S120) of controlling the external brightness of claim 1 and a method of transferring the data to the DSP step (S200) and utilized in the preprocessor step (S20). 상기 제1항에서 시리얼전송기 단계(S60)로 전송하는 방법으로 움직임 감지시만 데이터를 전송하는 방법 A method of transmitting data only when motion is detected as a method of transmitting to the serial transmitter step (S60) in claim 1 상기 제1항에서 네트워크전송기 단계(S80)로 전송하는 방법으로 움직임 감지시만 데이터를 전송하는 방법A method of transmitting data only when motion is detected by transmitting to the network transmitter step (S80) in claim 1 상기 제1항에서 점점 스위치 단계(S70)로 전송하는 방법으로 무인경비 기기의 주장치에 접점 신호를 전달하는 방법The method of transmitting the contact signal to the main device of the unmanned security device by gradually transmitting to the switch step (S70) in claim 1
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