JP2008282172A - Structure monitoring device by means of sound - Google Patents

Structure monitoring device by means of sound Download PDF

Info

Publication number
JP2008282172A
JP2008282172A JP2007124957A JP2007124957A JP2008282172A JP 2008282172 A JP2008282172 A JP 2008282172A JP 2007124957 A JP2007124957 A JP 2007124957A JP 2007124957 A JP2007124957 A JP 2007124957A JP 2008282172 A JP2008282172 A JP 2008282172A
Authority
JP
Japan
Prior art keywords
sound
power spectrum
signal
building
noise
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP2007124957A
Other languages
Japanese (ja)
Other versions
JP5435525B2 (en
Inventor
Nobuo Kiritani
伸夫 桐谷
Motonobu Imazato
元信 今里
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
National Maritime Research Institute
Original Assignee
National Maritime Research Institute
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by National Maritime Research Institute filed Critical National Maritime Research Institute
Priority to JP2007124957A priority Critical patent/JP5435525B2/en
Publication of JP2008282172A publication Critical patent/JP2008282172A/en
Application granted granted Critical
Publication of JP5435525B2 publication Critical patent/JP5435525B2/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

<P>PROBLEM TO BE SOLVED: To provide a device capable of adequately monitoring a structure by means of sound by frequency-analyzing sound collected by microphone in a structure. <P>SOLUTION: By collecting sound generated accompanying an intrusion at an entrance 2 with a door 2a of a structure 1 and an abnormality in the inside a building by a microphone 3 and removing stationary noise at the entrance 2 and in the inside from the sound, a structure monitoring device acquires a power spectrum ¾X(ω)¾<SP>2</SP>of a target sound signal x(t) which is a function of time t. An operation means 5 for verifying the temporally varying state compares the power spectrum ¾X(ω)¾<SP>2</SP>of the target sound signal x(t) and the collected one in the past to issue an alarm in case the target sound signal is new and unknown. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

本発明は、船舶や陸上のビルのごとき建造物における監視装置に関し、特に未知音や異常音が発生した際に警報を発信できるようにした音響解析による建造物監視装置に関する。   The present invention relates to a monitoring device in a building such as a ship or a land building, and more particularly to a building monitoring device by acoustic analysis that can issue an alarm when an unknown sound or abnormal sound is generated.

一般に、建造物の内部や出入り口付近の監視および警備のためには、防犯監視ビデオカメラが設けられていて、その映像を監視する監視員の判断により不審者を見分けることが行われているが、多数の場所や出入り口、開口部にそれぞれ防犯監視ビデオカメラを設置すると大幅なコスト上昇を招くという不具合がある。
そこで、音響センサを用いて異常音を検出感知することにより、防犯対策をたてられるようしたものも開発されているが、異常音の判断を根拠をもって的確に行うことは難しいとされている。
特開2005−217678号公報 特開2002−373386号公報
In general, for surveillance and security inside the building and near the entrance / exit, a security surveillance video camera is provided, and the suspicious person is discriminated by the judgment of the surveillance person who monitors the video, If security video cameras are installed at many places, doorways, and openings, there is a problem that the cost increases significantly.
In view of this, there has been developed an anti-crime measure by detecting and detecting abnormal sound using an acoustic sensor, but it is difficult to accurately determine abnormal sound on the grounds.
JP 2005-217678 A JP 2002-373386 A

本発明は、建造物の内部または外部においてマイクロホンにより観測された音響情報を実時間で適切に分析することにより、音響による建造物の内外の状況監視を的確に行えるようにした装置を提供することを課題とする。   The present invention provides an apparatus capable of accurately monitoring the inside and outside of a building by sound by appropriately analyzing in real time acoustic information observed by a microphone inside or outside the building. Is an issue.

前述の課題を解決するため、本発明の音響による建造物監視装置は、建造物において観測される環境音を常時採取するとともに、不法な侵入者や異常事象の発生に伴い生ずる音響を採取すべく、建造物にマイクロホンが設けられるとともに、同マイクロホンを介して採取された上記音響から上記環境音を雑音として除去することにより時間tの関数としての目的音響信号x(t)のパワースペクトル|X(ω)|2を得るための演算手段が設けられており、上記環境音が定常であり上記目的音響信号x(t)とは独立した関係にあるとして、上記目的音響信号x(t)のパワースペクトル|X(ω)|2を[数1]式および[数2]式により求め、[数3]式により類似性を求めるように上記演算手段が構成され、上記目的音響信号x(t)のパワースペクトル|X(ω)|2を過去に採取された音響信号のパワースペクトルと相関演算して、相関値が低く且つ既知の音響信号とも相関がない、すなわち上記音響が未知の異常音であると判定された場合に警報を発信する警報手段が設けられている。

Figure 2008282172
ここで、Y(ω):観測信号のスペクトル
y(t):観測信号
-jωt:複素指数関数
Figure 2008282172
ここで、|X(ω)|2:目的信号x(t)のパワースペクトル
|Y(ω)|2:観測信号のパワースペクトル
|N(ω)|2:雑音のパワースペクトル
α:サブトラクション係数(1≦α)
Figure 2008282172
In order to solve the above-mentioned problems, the acoustic building monitoring apparatus according to the present invention should always collect environmental sound observed in the building, and collect the sound generated by the occurrence of illegal intruders and abnormal events. A microphone is provided in the building, and the power spectrum | X (of the target acoustic signal x (t) as a function of time t is obtained by removing the environmental sound as noise from the sound collected via the microphone. [mathematical formula-see original document] Calculating means for obtaining [omega]) | 2 is provided, and it is assumed that the environmental sound is stationary and is independent of the target acoustic signal x (t). The computing means is configured so that the spectrum | X (ω) | 2 is obtained by the formulas [1] and [2] and the similarity is obtained by the formula [3], and the target acoustic signal x (t) of Wah spectrum | X (ω) | 2 and then correlation operation and power spectrum of the audio signal taken in the past, there is no correlation with and known acoustic signal low correlation value, that is, the sound is an unknown abnormal sound An alarm means is provided for transmitting an alarm when it is determined.
Figure 2008282172
Where Y (ω): spectrum of the observed signal
y (t): Observation signal
e -jωt : Complex exponential function
Figure 2008282172
Where | X (ω) | 2 : power spectrum of target signal x (t)
| Y (ω) | 2 : power spectrum of the observed signal
| N (ω) | 2 : power spectrum of noise
α: Subtraction coefficient (1 ≦ α)
Figure 2008282172

上述の本発明の音響による建造物監視装置によれば、建造物に設けられたマイクロホンを介し、同建造物における定常的な雑音である環境音が採取されるほか、通常発生するものでない音響が採取され、同音響から上記雑音を除去することにより時間tの関数である目的音響信号x(t)のパワースペクトルを求める演算手段が設けられているので、同目的音響信号x(t)のパワースペクトルを過去の信号や既知の信号と比較することにより異常音か否かの判定が容易に行われ、このようにして上記目的音響信号が未知の異常音と判定された場合には警報手段により警報が発信されて、その対策が迅速に講じられるようになる。   According to the above-described building monitoring apparatus using sound according to the present invention, environmental sound, which is stationary noise in the building, is collected via a microphone provided in the building, and sound that is not normally generated is collected. Since the calculation means for obtaining the power spectrum of the target acoustic signal x (t) that is a function of time t by collecting the noise and removing the noise from the acoustic is provided, the power of the target acoustic signal x (t) is provided. By comparing the spectrum with a past signal or a known signal, it is easy to determine whether or not it is an abnormal sound. Thus, when the target acoustic signal is determined to be an unknown abnormal sound, an alarm means is used. Alarms are sent out and countermeasures can be taken quickly.

本実施例の音響による建造物監視装置は、図1に示す建造物としての陸上の建物1の要部1Aや、図2に示す建造物としての海上の船舶Sの要部1B、1Cに装備されるものである。
図1および図2に示すように、扉2a付き出入り口2を有する建造物としての建物1や船舶Sにおいて、同建造物の要部1A,1B,1Cで観測される雑音を常時採取するとともに、出入り口2などへの侵入や船舶Sの船倉内での荷崩れなどに伴い発生する音響を採取できるように、上記建造物の内部または外部にはマイクロホン3が装備されている。
The acoustic building monitoring apparatus of the present embodiment is installed in the main part 1A of the land building 1 as the building shown in FIG. 1 and the main parts 1B and 1C of the marine vessel S as the building shown in FIG. It is what is done.
As shown in FIG. 1 and FIG. 2, in the building 1 or the ship S as a building having the doorway 2a with the doorway 2a, the noise observed in the main parts 1A, 1B, 1C of the building is constantly collected, A microphone 3 is provided inside or outside the building so that sound generated due to entry into the doorway 2 or the like or collapse of the ship S in the hold can be collected.

そして、図3に示すように、マイクロホン3を介し採取された音響から常時採取された雑音を除去することにより時間tの関数である目的音響信号x(t)のパワースペクトルが得られるように、音響処理装置4を含む演算手段5が設けられている。
すなわち、演算手段5は、上記雑音が定常であり、目的音響信号x(t)とは独立した関係にあるとして、非類似性を[数1]式,[数2]式および[数3]式により求めるように構成されている。

Figure 2008282172
ここで、Y(ω):観測信号のスペクトル
y(t):観測信号
-jωt:複素指数関数
Figure 2008282172
ここで、|X(ω)|2:目的信号x(t)のパワースペクトル
|Y(ω)|2:観測信号のパワースペクトル
|N(ω)|2:雑音のパワースペクトル
α:サブトラクション係数(1≦α)
Figure 2008282172
Then, as shown in FIG. 3, the power spectrum of the target acoustic signal x (t), which is a function of time t, can be obtained by removing the noise always collected from the sound collected via the microphone 3. Arithmetic means 5 including an acoustic processing device 4 is provided.
That is, the computing means 5 assumes that the noise is stationary and has an independent relationship with the target acoustic signal x (t), and dissimilarity is expressed by [Expression 1], [Expression 2], and [Expression 3]. It is comprised so that it may obtain | require by a type | formula.
Figure 2008282172
Where Y (ω): spectrum of the observed signal
y (t): Observation signal
e -jωt : Complex exponential function
Figure 2008282172
Where | X (ω) | 2 : power spectrum of target signal x (t)
| Y (ω) | 2 : power spectrum of the observed signal
| N (ω) | 2 : power spectrum of noise
α: Subtraction coefficient (1 ≦ α)
Figure 2008282172

また、演算手段5には、図3に示すように、目的音響信号x(t)のパワースペクトル|X(ω)|2を音響サンプルのスペクトルのデータベース5aが持つ過去の採取済み音響サンプルのスペクトルと比較するための比較手段5bが設けられ、目的音響信号x(t)のパワースペクトル|X(ω)|2が過去の採取済み音響サンプルのスペクトルと比較して異なる音響特性を具えた未知のものである場合に、警報を発信するための警報手段5cが付設されている。 Further, as shown in FIG. 3, the computing means 5 has a spectrum of past collected acoustic samples in the acoustic sample spectrum database 5a having the power spectrum | X (ω) | 2 of the target acoustic signal x (t). A comparison means 5b is provided for comparing the power spectrum | X (ω) | 2 of the target acoustic signal x (t) with an acoustic characteristic different from that of the past sampled acoustic sample. If it is, alarm means 5c for transmitting an alarm is attached.

上述の本実施例の音響による建造物監視装置によれば、建造物の内部または外部に設けられたマイクロホン3を介し、常時出入り口2の近傍や建造物の要部1A(1B、1C)において目的音に対し雑音となる環境音が採取されるほか、出入り口2や建造物要部1A(1B、1C)において発生する目的音である音響が採取され、同音響から同出入り口2や建造物要部1A(1B、1C)における雑音を除去することにより時間tの関数である目的音響信号x(t)のパワースペクトル|X(ω)|2を求める演算手段5が設けられているので、同目的音響信号のパワースペクトルを過去に採取された既知の音響サンプルのスペクトルと比較手段5bにおいて比較することにより異常音か否かの判定が容易に行われ、このようにして上記目的音響信号が未知の異常音と判定された場合には警報手段5cにより警報が発信されて、その対策が迅速に講じられるようになる。 According to the acoustic building monitoring apparatus of the above-described embodiment, the objective is always in the vicinity of the entrance / exit 2 and the main part 1A (1B, 1C) of the building via the microphone 3 provided inside or outside the building. In addition to collecting environmental sounds that are noise in relation to the sound, sound that is the target sound generated at the entrance 2 and the main part 1A (1B, 1C) of the building is sampled, and from the same sound, the entrance 2 and the main part of the building are collected. Since the calculation means 5 for obtaining the power spectrum | X (ω) | 2 of the target acoustic signal x (t), which is a function of the time t, by removing noise in 1A (1B, 1C) is provided. By comparing the power spectrum of the acoustic signal with the spectrum of a known acoustic sample collected in the past in the comparison means 5b, it can be easily determined whether or not it is an abnormal sound. When it is determined that the sound signal is an unknown abnormal sound, an alarm is transmitted by the alarm means 5c, and a countermeasure is quickly taken.

上述の本実施例の音響による建造物監視装置の概要について整理すると、次の通りである。
(1)動作環境は、コンピュータ装置1台とマイクロホン1本とから構成される。
(2)コンピュータ装置に搭載されたプログラムは一定の時間間隔で連続動作を続ける。 その動作は、マイクロホンによる音の観測および音響解析ならびに警報の発信である。
(3)解析は、第一にスペクトル解析の実施による観測音が持つ周波数特性の把握、第二 に前の時間間隔において観測された音のスペクトルや既知の音(スペクトル)サンプル との相関計算として行われる。
(4)異常発生の判断は、相関値の変動の大きさや未知の音であるか否かによって周囲の 状況変化を認知することにより行われる。
(5)本装置の特徴とする動作は、異常の認知による通報(メールの自動発信)やコンピ ュータの外部出力(RS232Cポートなど)へのコード出力の実行として行われる。
It is as follows when the outline | summary of the building monitoring apparatus by the sound of the above-mentioned present Example is arranged.
(1) The operating environment is composed of one computer device and one microphone.
(2) The program installed in the computer device continues to operate continuously at regular time intervals. The operation is sound observation and acoustic analysis with a microphone and transmission of an alarm.
(3) The analysis consists of firstly understanding the frequency characteristics of the observed sound by performing spectrum analysis, and secondly calculating the correlation with the spectrum of the sound observed in the previous time interval and a known sound (spectrum) sample. Done.
(4) The determination of the occurrence of an abnormality is made by recognizing changes in the surrounding situation based on the magnitude of the correlation value fluctuation and whether or not the sound is unknown.
(5) The characteristic operation of this device is performed as a report (automatic transmission of e-mail) by recognition of abnormality or a code output to an external output (RS232C port, etc.) of the computer.

本実施例の音響による建造物監視装置の特徴は、周囲音の変化を音の大小ではなく、周波数の特異的変化によって判断する点、その音が既知の音でなく未知の音であることを認知することによって判断する点にある。すなわち、このシステムでは、監視する範囲において侵入や異常が発生した場合に、大きな音が発生することによってシステムが反応するのではなく、音の質が変化したことの判断、未知の音であることの判断によって上記の侵入や異常の発生の認知が行われる。   The feature of the building monitoring apparatus by sound of the present embodiment is that the change of the ambient sound is determined not by the magnitude of the sound but by the specific change of the frequency, and that the sound is not a known sound but an unknown sound. It is a point to judge by recognizing. In other words, in this system, when an intrusion or abnormality occurs in the monitored range, the system does not react when a loud sound is generated, but it is an unknown sound that the sound quality has changed. The above-mentioned intrusion and the occurrence of abnormality are recognized.

本発明の一実施例としての音響による建造物監視装置の概略構成を示す説明図である。It is explanatory drawing which shows schematic structure of the building monitoring apparatus by sound as one Example of this invention. 本発明の装置を用いる他の例を示す斜視図である。It is a perspective view which shows the other example using the apparatus of this invention. 本発明の装置における作用の流れを示すブロック図である。It is a block diagram which shows the flow of an effect | action in the apparatus of this invention.

符号の説明Explanation of symbols

1 建物
1A,1B、1C 建造物要部
2 出入り口
2a 扉
3マイクロホン
4 音響処理装置
5 演算手段
5a データベース
5b 比較手段
5c 警報手段
S 船舶
DESCRIPTION OF SYMBOLS 1 Building 1A, 1B, 1C Main part of building 2 Entrance / exit 2a Door 3 Microphone 4 Sound processing device 5 Calculation means 5a Database 5b Comparison means 5c Alarm means S Ship

Claims (1)

建造物において感知される音響を異音発生検知のために観測して即時解析すべく、上記構造物にマイクロホンが設けられるとともに、同マイクロホンを介して観測された上記音響から上記構造物における定常的雑音を除去することにより時間tの関数としての目的音響信号xn(t)を分析するための演算手段が設けられており、上記雑音が連続したひとつの時間間隔において定常であり上記目的音響信号xn(t)とは無関係であるとして、同目的音響信号xn(t)のパワースペクトル|X(ω)|2を[数1]式および[数2]式により求め、連続した所要の時間間隔で観測される次の目的音響信号xn+1(t)のパワースペクトルおよび既知音のパワースペクトルとの相関係数を[数3]式により求めるように上記演算手段が構成されていて、上記相関関数が低い場合に異音発生の警報を発信する警報手段が設けられていることを特徴とする、音響による構造物監視装置。
Figure 2008282172
ここで、Y(ω):観測信号のスペクトル
y(t):観測信号
-jωt:複素指数関数
Figure 2008282172
ここで、|X(ω)|2:目的信号x(t)のパワースペクトル
|Y(ω)|2:観測信号のパワースペクトル
|N(ω)|2:雑音のパワースペクトル
α:サブトラクション係数(1≦α)
Figure 2008282172
A microphone is provided in the structure in order to observe and immediately analyze the sound sensed in the building in order to detect the occurrence of abnormal noise, and from the sound observed through the microphone, a steady state in the structure can be obtained. Arithmetic means are provided for analyzing the target acoustic signal x n (t) as a function of time t by removing the noise, the noise being stationary in one continuous time interval and the target acoustic signal. as is independent of x n (t), the power spectrum of the object audio signal x n (t) | X ( ω) | obtained by 2 [expression 1] and [expression 2] where the required successive The computing means is configured to obtain a correlation coefficient between the power spectrum of the next target acoustic signal x n + 1 (t) observed at the time interval and the power spectrum of the known sound by the formula [3]. , The above correlation Wherein the warning means to the alert of noise generated when the number is low is provided, a structure monitor Acoustic.
Figure 2008282172
Where Y (ω): spectrum of the observed signal
y (t): Observation signal
e -jωt : Complex exponential function
Figure 2008282172
Where | X (ω) | 2 : power spectrum of target signal x (t)
| Y (ω) | 2 : power spectrum of the observed signal
| N (ω) | 2 : power spectrum of noise
α: Subtraction coefficient (1 ≦ α)
Figure 2008282172
JP2007124957A 2007-05-09 2007-05-09 Acoustic building monitoring equipment Expired - Fee Related JP5435525B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2007124957A JP5435525B2 (en) 2007-05-09 2007-05-09 Acoustic building monitoring equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2007124957A JP5435525B2 (en) 2007-05-09 2007-05-09 Acoustic building monitoring equipment

Publications (2)

Publication Number Publication Date
JP2008282172A true JP2008282172A (en) 2008-11-20
JP5435525B2 JP5435525B2 (en) 2014-03-05

Family

ID=40142943

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2007124957A Expired - Fee Related JP5435525B2 (en) 2007-05-09 2007-05-09 Acoustic building monitoring equipment

Country Status (1)

Country Link
JP (1) JP5435525B2 (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102610228A (en) * 2011-01-19 2012-07-25 上海弘视通信技术有限公司 Audio exception event detection system and calibration method for the same
KR20150114373A (en) * 2014-03-31 2015-10-12 한국전자통신연구원 Appartus and method for monitoring security using variation of correlation coefficient pattern in sound field spectra
CN107144341A (en) * 2017-04-28 2017-09-08 珠海格力电器股份有限公司 Environment control method, device and the air-conditioning with the device
CN110568792A (en) * 2019-09-06 2019-12-13 中国船舶科学研究中心(中国船舶重工集团公司第七0二研究所) Device and method for monitoring comfort of vibration noise of ocean platform

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09166483A (en) * 1995-12-19 1997-06-24 Hitachi Ltd Method and apparatus for monitoring equipment
JPH1031511A (en) * 1996-07-15 1998-02-03 Matsushita Electric Ind Co Ltd Method and device for predicting abnormal fluctuation
JPH10188169A (en) * 1996-12-26 1998-07-21 Nohmi Bosai Ltd Fire detector
JP2002140090A (en) * 2000-11-02 2002-05-17 Toshiba Corp Abnormality monitor device
JP2002257625A (en) * 2001-03-06 2002-09-11 Kobe Steel Ltd Abnormality diagnosing apparatus
JP2005172548A (en) * 2003-12-10 2005-06-30 Nippon Sheet Glass Co Ltd Supervisory device and database construction method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09166483A (en) * 1995-12-19 1997-06-24 Hitachi Ltd Method and apparatus for monitoring equipment
JPH1031511A (en) * 1996-07-15 1998-02-03 Matsushita Electric Ind Co Ltd Method and device for predicting abnormal fluctuation
JPH10188169A (en) * 1996-12-26 1998-07-21 Nohmi Bosai Ltd Fire detector
JP2002140090A (en) * 2000-11-02 2002-05-17 Toshiba Corp Abnormality monitor device
JP2002257625A (en) * 2001-03-06 2002-09-11 Kobe Steel Ltd Abnormality diagnosing apparatus
JP2005172548A (en) * 2003-12-10 2005-06-30 Nippon Sheet Glass Co Ltd Supervisory device and database construction method

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102610228A (en) * 2011-01-19 2012-07-25 上海弘视通信技术有限公司 Audio exception event detection system and calibration method for the same
KR20150114373A (en) * 2014-03-31 2015-10-12 한국전자통신연구원 Appartus and method for monitoring security using variation of correlation coefficient pattern in sound field spectra
KR102034559B1 (en) * 2014-03-31 2019-10-22 한국전자통신연구원 Appartus and method for monitoring security using variation of correlation coefficient pattern in sound field spectra
CN107144341A (en) * 2017-04-28 2017-09-08 珠海格力电器股份有限公司 Environment control method, device and the air-conditioning with the device
CN110568792A (en) * 2019-09-06 2019-12-13 中国船舶科学研究中心(中国船舶重工集团公司第七0二研究所) Device and method for monitoring comfort of vibration noise of ocean platform
CN110568792B (en) * 2019-09-06 2020-08-04 中国船舶科学研究中心(中国船舶重工集团公司第七0二研究所) Device and method for monitoring comfort of vibration noise of ocean platform

Also Published As

Publication number Publication date
JP5435525B2 (en) 2014-03-05

Similar Documents

Publication Publication Date Title
US7881882B2 (en) Apparatus and method for detecting tampering in flexible structures
JP5043940B2 (en) Video surveillance system and method combining video and audio recognition
CN101714255B (en) Abnormal behavior detection device
JP6344383B2 (en) Behavior analysis device, behavior analysis method, and behavior analysis program
US8538063B2 (en) System and method for ensuring the performance of a video-based fire detection system
JP5489927B2 (en) Anomaly detection device and security system
JP6532106B2 (en) Monitoring device, monitoring method and program for monitoring
KR101485022B1 (en) Object tracking system for behavioral pattern analysis and method thereof
JP5435525B2 (en) Acoustic building monitoring equipment
KR100707506B1 (en) Crime preventing system using sound signal analysis and method thereof
WO2011025460A1 (en) Method and system for event detection
KR101107120B1 (en) Device for sound source tracing and object recognition and method for sound source tracing and object recognition
US20180188104A1 (en) Signal detection device, signal detection method, and recording medium
CN109313442B (en) Automated visual and acoustic analysis for event detection
AU2007311761B2 (en) Improvements relating to event detection
JP6056527B2 (en) Intruder detection device
JP2005328236A (en) Video monitoring method, device, and program
JP4175180B2 (en) Monitoring and reporting system
KR102319687B1 (en) Surveillance system adopting wireless acoustic sensors
KR100492882B1 (en) Apparatus for security using an environmental sound
JP6994922B2 (en) Conversation recognition recording system
JP7339755B2 (en) Abnormal sound monitoring system and abnormal sound monitoring method
KR100734494B1 (en) Crime prevention system in use of sona senssor
JP2005172548A (en) Supervisory device and database construction method
KR20040025149A (en) Security apparatus using an image and a sound of an environmental object

Legal Events

Date Code Title Description
A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20100113

RD02 Notification of acceptance of power of attorney

Free format text: JAPANESE INTERMEDIATE CODE: A7422

Effective date: 20100113

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20111111

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20111122

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20120123

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20120731

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20121001

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20130402

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20131203

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20131204

R150 Certificate of patent or registration of utility model

Ref document number: 5435525

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150

Free format text: JAPANESE INTERMEDIATE CODE: R150

S533 Written request for registration of change of name

Free format text: JAPANESE INTERMEDIATE CODE: R313533

R350 Written notification of registration of transfer

Free format text: JAPANESE INTERMEDIATE CODE: R350

S533 Written request for registration of change of name

Free format text: JAPANESE INTERMEDIATE CODE: R313533

R350 Written notification of registration of transfer

Free format text: JAPANESE INTERMEDIATE CODE: R350

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

LAPS Cancellation because of no payment of annual fees