KR20050080415A - Alarm system and method for surveillance of armed robber's invasion - Google Patents

Abstract

The present invention relates to an alarm system and method that can effectively monitor the intrusion of armed robbery using metal detection signals, audio signals and video signals input through metal detectors.

Armed strength intrusion surveillance alarm system of the present invention comprises a microphone, camera and system controller armed strength intrusion surveillance alarm system comprising: a metal detector for detecting metal; A voice signal detection / voice recognition device embedded in the system controller capable of calculating a risk for an input voice signal and a metal detection signal processing device embedded within the system controller capable of calculating a risk for an input metal signal. There are technical features.

Therefore, the armed robbery intrusion alarm system and method of the present invention can perform automatic monitoring and detection by monitoring video and audio through metal detectors, video cameras and microphones, and invade into the central integrated monitoring room or police station of post offices or banks. The signal and the image are transmitted, and there is an effect that a quick action can be made.

Description

Armed robbery intrusion surveillance system and method {Alarm system and method for surveillance of armed robber's invasion}

The present invention relates to an armed strength intrusion surveillance alarm system and method, and more particularly, to an alarm system and method that can effectively monitor the intrusion of armed strength using a metal detection signal, voice signal and video signal input through a metal detector. It is about.

In general, weapon detectors, including firearms, have been installed in specific security areas, such as airports or state secretariats, to search for weapons in a person's belongings without directly searching the person's body. However, post offices and banks rely on surveillance cameras without equipment for weapons detectors to monitor intruders, making it difficult to monitor intruders with weapons.

Korean Patent Laid-Open Publication No. 1998-028185, which is a prior art, is an alarm system that detects an abnormality such as an external intrusion in a safety system and transmits detection information, and in particular, is a wireless alarm system using a dual tone multi frequency (DTMF) signal. The alarm system converts the detected signal into a DTMF signal to generate a sound corresponding to the DTMF signal and notify the safety system. However, the prior art as described above has a problem in that a decoder for converting a DTMF signal and the DTMF signal generator are required, and a microchip for transmitting and receiving DTMF signals is required.

Another prior art Korean Patent Publication No. 2000-0036249 relates to a concealed weapon detector that detects a concealed weapon using a weapons resonance frequency of the weapon using a weapon detector and a frequency modulation-continuous wave (FM-CW) radar. . The concealed weapon detector uses a distance gate to analyze background irrespective of distance by removing background clutter or scattering in the response from the target, and using a phase antenna array. However, the related art has a problem in that there are many components necessary for signal processing, such as a transmitter for generating a frequency output of a magnetic resonance frequency set and an antenna for collecting backscattered signals output from the transmitter.

Another prior art Korean Patent Laid-Open Publication No. 2000-0061144 relates to a surveillance system that automatically recognizes a situation such as an intrusion or theft generated in a monitored area by using an infrared signal or an acoustic signal, and photographs a still image. The prior art as described above has the effect of confirming a situation occurring in the monitored area even in an unattended state, but there is a problem in that it cannot detect an invasion owned by a weapon.

Another prior art Republic of Korea Patent Publication No. 2001-0081903 relates to a comprehensive control system for monitoring by using a video camera and a monitor. When the video signal input through the video camera is replaced with a VCR signal, it can be detected, and the determination and response of the false alarm or the intrusion can be quickly performed. However, the prior art as described above also has a problem that the detection of hidden weapons cannot be made, and even if a dangerous statement is made, there is a problem that the corresponding detection is difficult because there is no objective criterion for the danger of the statement.

Accordingly, the present invention is to solve the problems of the prior art as described above, an alarm system and method that can effectively monitor the intrusion of armed strength using the metal detection signal, voice signal and video signal input through the metal detector. It is an object of the present invention to provide.

An object of the present invention is to provide an armed strength intrusion surveillance alarm system comprising a microphone, a camera and a system controller, comprising: a metal detector for detecting metal; A voice signal detection / voice recognition device embedded in the system controller capable of calculating a risk for an input voice signal, and a metal detection signal processing device embedded within the system controller capable of calculating a risk for an input metal signal. Armed robbery is achieved by intrusion monitoring system.

Another object of the present invention is to provide an armed strength intrusion monitoring alarm method for generating an alarm from an audio signal and an image signal, the method comprising: detecting a metal signal, an audio signal, and an image signal; Calculating a metal risk for the metal signal; Calculating a voice risk for the voice signal; Calculating a final risk level based on the metal risk level and the negative risk level to generate a warning and a danger signal when the level is greater than or equal to a certain degree; And arming the video signal and the warning and danger signal to a central monitoring signal control device and generating an alarm at a remote monitoring center receiving the video signal and the warning and danger signal. Robbery is achieved by intrusion monitoring alarm method.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

1 is an armed strength alarm device according to the present invention. Referring to FIG. 1, the voice signal input through at least one microphone 110 installed at a ceiling location inside a building, the image signal input through at least one video camera 120 installed at a ceiling location inside a building, and all entrances and exits; The metal detection signal input through the metal detector 130 installed in the reception window is input to the system controller 150. The voice signal and the metal detection signal input to the system controller 150 are calculated as voice risk and metal risk and are transmitted to the alarm 100 and the remote monitoring center 140.

2 is a system controller block diagram according to the present invention. The system controller includes a voice signal detection / voice recognition device for analyzing a voice signal, a metal detection signal processing device for analyzing a metal detection signal, a warning / danger signal generator for generating a danger signal through the voice signal and the metal detection signal, and the It may be configured to include a video / audio / warning signal transmission device for transmitting a danger signal to the device.

2, the voice signal input from the microphone 110 is transmitted to the voice signal detection / voice recognition device 200, and the metal detection signal input from the metal detector 130 is a metal detection signal processing device ( 210). The voice risk output from the voice signal detection / voice recognition device 200 and the metal risk output from the metal detection signal processing device 210 are transmitted to the warning / danger signal generator 220.

The audio risk and the metal risk transmitted to the warning / danger signal generator 220 and the video signal input through the video camera 120 are sent to the video / audio / warning signal transmitter 230. The video / audio / warning signal transmission device 230 transmits the input audio risk, metal risk, and video signal information to the central monitoring signal control device 250 through the Internet, a telephone line, or a dedicated line. The central monitoring signal control device 250 transmits information on the monitored situation to the alarm 100 and the remote monitoring center 140.

3 is a metal detector and a metal detection signal processing apparatus according to the present invention. The metal detector may include a pulse generator for generating an original signal, a high frequency modulator for modulating the original signal generated from the pulse generator into microwaves, and an antenna for receiving a metallic reflected wave using the microwave signal. The detection signal processing apparatus may include a high frequency demodulator for demodulating a metallic reflected wave and a received signal magnitude classifier for classifying a magnitude of a signal passing through the demodulator.

Referring to FIG. 3, the pulse generator 380 in the metal detector 130 generates a pulse signal, and the high frequency modulator 370 modulates it into microwaves and transmits the result to the output amplifier 360 to amplify the pulse signal. The amplified pulse signal is transmitted to the transceiver 300. In this case, the amplified pulse signal may be transmitted to the antenna through the hybrid 310. The hybrid 310 is used to combine transmission and reception with one antenna, and is a device for preventing the output of the transmitter from being introduced into the receiver. .

The transceiver 300 emits the transmitted pulse signal and receives the reflected wave reflected by the metal. The reflected wave is transmitted to the hybrid 310 through the transceiver 300 and to the metal detection signal processing apparatus 210. The reflected wave transmitted to the metal detection signal processing device 210 is amplified by the reflected wave in the receiving amplifier 320 and transmitted to the high frequency demodulator 330.

The reflected wave demodulated by the high frequency demodulator 330 selectively receives a range of a range gate 340 to extract a reflected signal. When all of the reflected waves are input as a received signal, since a large amount of unnecessary noise is included, it is difficult to extract only a desired metal signal, thereby minimizing noise by selecting a range gate 340 section. Therefore, the range gate 340 has a structure to selectively receive a pulse within the time interval to improve the reception sensitivity and the signal-to-noise ratio, and the calculated reflected signal is measured in the received signal size classifier 350 to measure the metal A metal risk 390 is generated by determining the presence and the risk thereof. The metal risk 390 is calculated from the lowest risk of M = 1 to the highest risk of M = MMAX.

In the received signal size classifier 350, since the intensity of the signal can vary greatly according to various types of firearms, an AGC (Automatic Gain Controller) is installed to adjust the amount of received signal and signal the automatic amount of adjustment. After a precise measurement of magnitude is made, the gain adjustment factor is multiplied to yield the actual signal size. The magnitude of the signal is sampled by selecting only the suspicious signal magnitude range so as to provide an identification criterion for at least a predictable object and an object that is not firearms, and taking the metal risk 390 as the signal magnitude information. To the warning / danger signal generator 220 of the system controller.

The basic principle of the metal detector is the same as the radar. The transceiver 300 of the metal detector preferably uses a dipole antenna having a horizontal direction in order to minimize the amount of electromagnetic wave reception by a person. This is because guns and the like can reflect and receive a relatively large amount of electromagnetic waves due to non-directionalness, compared to the electromagnetic waves of vertical components reflected by the upright person. In addition, the metal detector changes the size of the detection signal according to the size of the metal even at a certain distance, and uses an electromagnetic wave of an ultra-high frequency band.

4 is a voice signal detection / voice recognition device according to the present invention. The voice signal detection / voice recognition apparatus includes a voice signal AGC for adjusting a gain of an input voice signal, an A / D converter for converting the gain-adjusted voice signal into a digital signal, and calculating a power of the digitally converted voice signal. A voice signal power calculator, a voice pattern analyzer that analyzes the pattern of the digitally converted voice signal, a voice DB in which voice patterns are stored, and a voice risk classifier that calculates a risk using the calculated power signal and the analyzed pattern. It can be configured to include.

Referring to FIG. 4, the voice signal 400 input through the microphone 110 is transmitted to the voice signal AGC 410. When the gain is automatically adjusted so that the amplitude of the input voice signal 400 is kept constant, it is transferred to an analog-to-digital (A / D) converter 420, converted into a digital signal, and then the voice signal power calculator 430. And a voice pattern analyzer 440. The voice pattern analyzer 440 compares the voice pattern stored in the voice DB 450 with the digitally converted voice signal 400. The signals transmitted to the voice signal power calculator 430 and the voice pattern analyzer 440 are transmitted to the voice risk classifier 460, and then the lowest risk of V = 1 to the highest risk of V = VMAX according to the risk. The risk is calculated in order. The estimated voice risk 470 is transmitted to the warning / danger signal generator 220 of the system controller 150.

In addition to the above method for estimating the speech risk 470, if the speech recognized as a system with speech recognition is a speech in a group classified as a dangerous speech, the highest risk is reported regardless of the final risk magnitude. The contents that may be classified as the dangerous remarks include "raise hands", "quiet quiet", "everybody down", "do not move", "kill" or "freeze".

In addition, it is important to measure the elapsed time between when the firearms are brought in and the castle in clearing the correlation between the import and fire of firearms. If too much time has elapsed between these two events, the two events become irrelevant and the risk is significantly reduced. Therefore, the risk associated with the elapsed time between the two events is set to T.

The warning / danger signal generator 220 calculates the event risk P from the delivered metal risk M and the negative risk V, and multiplies this value by the time risk T to calculate the final risk Q. Based on the final risk Q, if a certain threshold value is exceeded or higher, a central monitoring center or a police station that collectively monitors various post offices or banks as a risk to be reported is reported. The report transmits the video signal from the video transmission apparatus that compresses and transmits the video from the camera together with the audio to be provided as basic data for taking action in the central monitoring center.

5 is an example of the entrance metal detection signal strength according to the present invention. When the strength of the signal from the metal detector installed in the doorway exceeds a certain value it calculates the value for the doorway metal detection signal, the equation is as shown in equation (1).

Where m _d (t) is the strength of the metal detection signal input through the gate metal detector, and Mdavg is the value of the amount of metal detection signal received on average. The risk is calculated. M _d is the power strength of the signal when a metal signal is detected, td1 is the time when the metal signal echo signal is started to be detected, and td2 is the time when the detection is finished. Mdavg is calculated as in Equation 2, where T represents a period.

6 is an example of the probability that an event will occur after the intrusion according to the present invention. Here, p (t) refers to the probability that a voice signal will occur when the intrusion is performed. The probability of occurrence of an event immediately after the first intrusion is 1, but if the time passes tp1, the probability of occurrence of the event decreases by p1. If tp2 elapses, the probability of occurrence of an event also decreases by p2. The variables can be determined empirically through various experiments.

7 is an example of the loudness according to the present invention. The equation for obtaining the voice signal input through the microphone is as shown in Equation 3 below. Here, V denotes a voice signal and Vavg denotes a value of a voice signal received on average, and analyzes the voice signal during the time between tv1 and tv2.

The voice signal may accurately measure its strength through the voice signal detection / voice recognition device inside the system controller and analyze the voice signal to extract voice information.

8 is an example of a hatch metal detection signal according to the present invention. The window metal detection signal M _w is calculated as shown in Equation 4 below. Where M _w is the power of the hatch metal detection signal, m _w (t) is the strength of the metal detection signal input from the metal detector installed at the hatch, and M _{w, avg} is the average amount of metal signal received from the usual hatch metal detector. And the value is calculated as shown in Equation 5. tw1 represents the time at which the metal is detected at the window, and tw2 represents the time at which the metal is detected at the window.

The final risk is calculated using the power strength of the gate metal detection signal, the voice signal and the power strength of the window metal detection signal. The final risk is calculated using Equation 6 below.

Equation 6 relates to a formula for calculating the final risk Q, the power intensity (M _d ) of the gate metal detection signal, the voice signal (V), the power strength (M _w ) of the window metal detection signal, the metal installed in the doorway The weight W _d for the signal from the detector, the weight W _V for the signal from voice detection, and the weight W _W for the signal from the metal detector installed in the window.

9 is a flow chart of the armed strength intrusion monitoring alarm method according to the present invention. Referring to FIG. 9, the gate metal detector and the door metal detector detect the gate metal signal and the gate metal signal (S100), the voice signal detection through the microphone (S110), and the video signal through the video camera (S120).

The metal risk is calculated using the signal obtained through the entrance metal signal and the door metal signal detection (S100) (S130), and the voice risk is calculated using the signal obtained through the voice signal detection (S110) (S140). The final risk is calculated using the calculated metal risk and the negative risk (S150), and whether or not the risk is determined (S160).

If the calculated risk is above a certain risk, a warning and a danger signal are generated (S170). If the risk is below a certain risk, the door metal signal and the door metal signal are continuously determined without generating a warning and a danger signal without determining that it is an intrusion. The audio signal and the video signal are detected. When the warning and danger signal is generated (S170) is transmitted to the central monitoring signal control device (S180) to generate an alarm (S190).

Therefore, the armed robbery intrusion alarm system and method of the present invention can perform automatic monitoring and detection by monitoring video and audio through metal detectors, video cameras and microphones, and invade into the central integrated monitoring room or police station of post offices or banks. The signal and the image are transmitted, and there is an effect that a quick action can be made.

1 is an armed strength alarm device according to the present invention.

2 is a system controller block diagram according to the present invention.

3 is a metal detector and a metal detection signal processing apparatus according to the present invention.

4 is a voice signal detection / voice recognition device according to the present invention.

5 is an example of the entrance metal detection signal strength according to the present invention.

6 is an example of the probability that an event will occur after the intrusion according to the present invention.

7 is an example of the loudness according to the present invention.

8 is an example of a hatch metal detection signal according to the present invention.

9 is a flow chart of the armed strength intrusion monitoring alarm method according to the present invention.

<Description of the symbols for the main parts of the drawings>

      100: alarm 110: microphone

      120: video camera 130: metal detector

      140: remote monitoring center 150: system controller

      200: voice signal detection / speech recognition device

      210: metal detection signal processing device 220: warning / danger signal generator

      230: video / audio / warning signal transmission device

      240: dedicated line 250: central monitoring signal control device

      300: transceiver 310: hybrid

      320: receiving amplifier 330: high frequency demodulator

      340: Range Gate 350: Received Signal Size Sorter

      360: output amplifier 370: high frequency modulator

      380: pulse generator 390: metal risk

      400: voice signal 410: voice signal AGC

      420: A / D converter 430: voice signal power calculator

      440: Speech Pattern Analyzer 450: Speech DB

      460: negative risk classifier 470: negative risk

      S100: Doorway metal signal and hatch metal signal detection

      S110: Voice signal detection S120: Video signal detection

      S130: metal risk calculation S140: negative risk calculation

      S150: Final Risk Calculation S160: Determine Risk

      S170: Warning and danger signal generation

      S180: transmission to the central monitoring signal control unit

      S190: Warning

Claims (21)

In the armed strength intrusion monitoring alarm system comprising a microphone, a camera and a system controller, A metal detector for detecting metal; A voice signal detection / voice recognition device embedded in the system controller capable of calculating a risk for an input voice signal; And Metal detection signal processing device embedded in the system controller that can calculate the risk for the input metal signal Armed strength intrusion surveillance alarm system, characterized in that configured to include. The method of claim 1, The metal detector armed strength intrusion monitoring alarm system, characterized in that the size of the detection signal changes according to the size of the metal even at a certain distance. The method of claim 1, The metal detector armed intensity intrusion surveillance alarm system, characterized in that using a dipole antenna. The method of claim 1, The metal detector A pulse generator for generating an original signal; A high frequency modulator for modulating the original signal generated from the pulse generator into microwaves; And Transmitting and receiving unit for transmitting the microwave and receiving the metallic reflected wave Armed strength intrusion surveillance alarm system, characterized in that configured to include. The method of claim 4, wherein And an output amplifier for amplifying the microwaves from the high frequency modulator. The method of claim 4, wherein The metal detector is armed strength intrusion surveillance alarm system, characterized in that for using the electromagnetic wave of the ultra-high frequency band. The method of claim 4, wherein And the transceiver uses one antenna, and further includes a hybrid for preventing the output of the transmitter from being introduced into the receiver when the antenna transmits and receives with one antenna. The method of claim 1, The metal detection signal processing device A high frequency demodulator for demodulating a metallic reflected wave; And Received signal size classifier for estimating the metal risk by classifying the magnitude of the signal that has passed through the demodulator Armed strength intrusion surveillance alarm system, characterized in that configured to include. The method of claim 8, The metal detection signal processing apparatus further comprises a range gate for selectively receiving a pulse within a time interval to improve reception sensitivity and signal-to-noise ratio. The method of claim 9, And the signal calculated through the range gate provides an identification criterion for firearms and non-firearms. The method of claim 1, The system controller A speech signal detection / voice recognition device for analyzing the speech signal; A metal detection signal processor for analyzing the metal signal; A warning / danger signal generator for generating a danger signal through the voice signal and the metal detection signal; And Video / audio / warning signal transmission device for transmitting the danger signal to the device Armed strength intrusion surveillance alarm system, characterized in that configured to include. The method of claim 11, The voice signal detection / speech recognition device A voice signal AGC for adjusting a gain of an input voice signal; An A / D converter for converting the gain-adjusted voice signal to digital; A voice signal power calculator for calculating the power of the digitally converted voice signal; A voice pattern analyzer analyzing a pattern of the digitally converted voice signal; A voice DB in which voice patterns are stored; And A voice risk classifier that calculates a voice risk using the calculated power signal and the analyzed pattern. Armed strength intrusion surveillance alarm system, characterized in that configured to include. The method of claim 11, The voice signal detection / voice recognition device has a built-in voice recognition device, it is possible to extract the risk of the voice information, armed strength intrusion surveillance alarm system. The method of claim 11, The voice signal detection / voice recognition device includes a system that adds voice recognition, and includes a speech classified as dangerous speech. In the armed strength intrusion surveillance alarm method for generating an alarm from an audio signal and a video signal, Detecting metal signals, audio signals, and video signals; Calculating a metal risk for the metal signal; Calculating a voice risk for the voice signal; Calculating a final risk level based on the metal risk level and the negative risk level to generate a warning and a danger signal when the level is greater than or equal to a certain degree; Transmitting the video signal and the warning and danger signal to a central monitoring signal control device; And Generating an alarm in a remote monitoring center receiving the video signal and the warning and danger signals Armed robbery intrusion monitoring alarm method characterized in that it comprises a. The method of claim 15, In the detecting of the metal signal, armed strength intrusion monitoring alarm method characterized in that to calculate the metal detection signal strength by receiving the metal signal through the metal detection device of the entrance and exit. The method of claim 16, The entrance metal detection signal strength has the following formula (M _d ), the window metal detection signal strength has the following formula (M _w ) armed strength intrusion monitoring alarm method The method of claim 15, Armed robbery intrusion monitoring alarm method characterized in that for receiving the voice signal to calculate the strength of the voice. The method of claim 18, The intensity of the voice has the following formula (V) armed strength intrusion monitoring alarm method. The method of claim 15, Armed strength intrusion monitoring alarm method characterized in that the final risk having the following equation (Q). The method of claim 15, Arming strength intrusion surveillance alarm method characterized in that when the warning and the danger signal is generated at a predetermined risk level or less is determined not to be an intrusion and the warning and danger signals are not generated.