JPH0955932A - Abnormality monitoring device abnormality detection method - Google Patents
Abnormality monitoring device abnormality detection methodInfo
- Publication number
- JPH0955932A JPH0955932A JP7207999A JP20799995A JPH0955932A JP H0955932 A JPH0955932 A JP H0955932A JP 7207999 A JP7207999 A JP 7207999A JP 20799995 A JP20799995 A JP 20799995A JP H0955932 A JPH0955932 A JP H0955932A
- Authority
- JP
- Japan
- Prior art keywords
- abnormality
- still image
- monitoring device
- monitoring
- image
- 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.)
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Links
Landscapes
- Burglar Alarm Systems (AREA)
- Emergency Alarm Devices (AREA)
- Alarm Systems (AREA)
- Train Traffic Observation, Control, And Security (AREA)
- Image Analysis (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
(57)【要約】
【課題】 不特定形状の被写体の異常を検出する。
【解決手段】 テレビカメラ4により撮影した監視対象
1の正常な静止画像と、監視時に撮影した撮影静止画像
をCPU8により比較し、一致が見られないときには異
常の発生とみなし、マルチメディア警報装置9から警報
を発生する。
(57) [Abstract] [PROBLEMS] To detect an abnormality of a subject having an unspecified shape. SOLUTION: A normal still image of the monitoring target 1 photographed by the television camera 4 and a photographed still image photographed at the time of monitoring are compared by the CPU 8, and when there is no match, it is considered that an abnormality has occurred, and the multimedia alarm device 9 is provided. Generate an alarm from.
Description
【0001】[0001]
【発明の属する技術分野】本発明は、監視対象を撮影
し、その撮影結果に対して、異常の有無を判定する異常
監視装置の異常検出方法に関する。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an abnormality detecting method for an abnormality monitoring apparatus which photographs a subject to be monitored and judges the presence or absence of abnormality in the photographed result.
【0002】[0002]
【従来の技術】プラント、設備、工場、店、金融、鉄
道、道路、など、あらゆる分野で物体の異常の有無を監
視する必要に迫られている。異常の種類には人、車、
船、動物等の接近、形状の異常、破損、発熱、温度の異
常などがある。2. Description of the Related Art There is an urgent need to monitor the presence or absence of abnormalities in objects in various fields such as plants, equipment, factories, shops, finance, railways, and roads. The types of anomalies include people, cars,
There is an approach of ships, animals, etc., abnormal shape, damage, heat generation, abnormal temperature, etc.
【0003】ビデオカメラにより監視対象を撮影し、そ
の撮影結果を予め用意した正常パターンと比較し、その
比較結果により異常の有無を自動判定するようにした異
常監視装置が核種提案されている。An nuclide has been proposed as an anomaly monitoring device in which an object to be monitored is photographed by a video camera, the photographed result is compared with a prepared normal pattern, and the presence or absence of an abnormality is automatically determined based on the comparison result.
【0004】[0004]
【発明が解決しようとする課題】従来、この種、異常監
視装置では正常パターンとして輪郭線画像を撮影画像の
中から抽出する事が多い。輪郭線画像とは隣接する画素
の例えば、輝度値の差が大きくなるような連続的な画素
すなわち、線分を検出し、この線分で囲まれる閉区画の
領域の位置情報を正常パターンとする。しかしながら、
このように輪郭線を検出する方法は時間がかかる上に、
処理自体が複雑であるという欠点を持つ。このため、不
審人物等形状を予め特定できないものについての監視、
たとえば盗難防止目的の監視などには不向きであり、従
来では、撮影画像をモニタ等により人間が目視確認せざ
るを得なかった。Conventionally, in this kind of abnormality monitoring apparatus, a contour image is often extracted from a photographed image as a normal pattern. For example, continuous pixels that have a large difference in luminance value between adjacent pixels with the contour image, that is, a line segment is detected, and the position information of the closed partition area surrounded by this line segment is set as a normal pattern. . However,
In this way, the method of detecting the contour line is time-consuming and
It has a drawback that the process itself is complicated. Therefore, monitoring of suspicious persons such as those whose shapes cannot be specified in advance,
For example, it is not suitable for monitoring for the purpose of theft prevention, and in the past, humans had no choice but to visually check a photographed image on a monitor or the like.
【0005】そこで、本発明は、形状を特定できない異
常物体を検出する場合に好適で汎用的に使用することが
できる異常監視装置の異常検出方法を提供することを目
的とする。Therefore, it is an object of the present invention to provide an abnormality detecting method for an abnormality monitoring device which is suitable for detecting an abnormal object whose shape cannot be specified and which can be used for general purposes.
【0006】[0006]
【課題を解決するための手段】このような目的を達成す
るために、請求項1の発明は、被写体の画像を電気信号
に変換出力するカメラにより監視対象が正常な状態での
正常静止画像を取得し、前記カメラにより前記監視対象
を撮影して一定周期ごとにその撮影静止画像を取得し、
前記監視装置では前記正常静止画像を記憶しておき、前
記撮影静止画像と前記正常静止画像とを比較し、不一致
の比較結果が得られたときには異常の警告を行うことを
特徴とする。In order to achieve such an object, the invention of claim 1 provides a normal still image in a normal state of a monitoring target by a camera which converts an image of a subject into an electric signal and outputs the electric signal. Acquired, the monitoring target is captured by the camera to acquire the captured still image at regular intervals,
The monitoring device is characterized in that the normal still image is stored, the photographed still image is compared with the normal still image, and when an unmatched comparison result is obtained, an abnormality warning is given.
【0007】請求項2の発明は、請求項1の発明に加え
て、前記監視装置は前記カメラから出力される電気信号
のレベル値を前記撮影静止画像および前記正常静止画像
の比較に使用することを特徴とする。According to a second aspect of the present invention, in addition to the first aspect, the monitoring device uses the level value of the electric signal output from the camera for comparison between the photographed still image and the normal still image. Is characterized by.
【0008】請求項3の発明は、請求項1の発明に加え
て、前記監視対象の正常な状態での時系列的な変化に対
して前記撮影静止画像および前記正常静止画像のいずれ
か一方を補正することを特徴とする。According to a third aspect of the present invention, in addition to the first aspect of the invention, either one of the photographed still image and the normal still image is displayed with respect to a time-series change of the monitoring target in a normal state. It is characterized by correction.
【0009】請求項4の発明は、請求項1の発明に加え
て、前記監視装置には前記異常の警告および前記撮影静
止画像を受信するモニタシステムが接続され、該監視装
置では一定周期で取得される撮影静止画像を圧縮して前
記モニタシステムに送信し、該モニタシステムでは当該
圧縮された撮影静止画像を記録することを特徴とする。According to a fourth aspect of the invention, in addition to the first aspect of the invention, a monitor system for receiving the warning of the abnormality and the captured still image is connected to the monitoring device, and the monitoring device acquires at a constant cycle. The captured still image is compressed and transmitted to the monitor system, and the monitor system records the compressed captured still image.
【0010】請求項5の発明は、請求項1の発明に加え
て、前記カメラには赤外線カメラを使用することを特徴
とする。In addition to the invention of claim 1, the invention of claim 5 is characterized in that an infrared camera is used as the camera.
【0011】[0011]
【発明の実施の形態】以下、図面を参照して本発明の実
施例を詳細に説明する。BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described in detail below with reference to the drawings.
【0012】図1は本発明を適用した監視システムを示
す。図1において、監視装置100とモニタシステム2
00は通信ネットワークにより接続されている。テレビ
カメラ4は監視対象1を撮像し、その撮像結果として得
られるアナログの画像信号を出力する。アナログ画像信
号は増幅器5により増幅された後、アナログ/デジタル
(A/D)変換器6によりデジタル信号に変換される。
このデジタル形態の画像信号はメモリ7を介してCPU
8に引き渡され、異常の有/無の判定に使用される。FIG. 1 shows a monitoring system to which the present invention is applied. In FIG. 1, the monitoring device 100 and the monitor system 2
00 is connected by a communication network. The television camera 4 images the monitoring target 1 and outputs an analog image signal obtained as a result of the imaging. The analog image signal is amplified by the amplifier 5 and then converted into a digital signal by the analog / digital (A / D) converter 6.
This digital image signal is sent to the CPU via the memory 7.
It is handed over to 8 and used to determine whether there is an abnormality.
【0013】より具体的には監視対象1が正常の状態で
の静止画像を取り込み、後述の画像特徴を抽出し、正常
パターンを作成する。また、監視時には監視対象1の監
視画像信号を取り込み、その画像を正常パターンと比較
する。この比較結果により監視対象1の異常の有無を判
定する。判定の結果および監視画像信号はマルチメディ
ア警報装置9に送られ、表示装置10に表示されるとと
もに音声装置11から音声メッセージで異常が出力され
る。また、通信装置12を介してモニタシステム200
に監視画像信号および異常の有無判定結果が送られ、表
示装置16に監視画像が表示される。音声装置17から
は異常ありが音声メッセージで出力される。また、この
ときの時刻情報、監視画像等が記録装置19に記録され
る。More specifically, a still image in which the monitoring target 1 is in a normal state is captured, image features described below are extracted, and a normal pattern is created. Further, at the time of monitoring, a monitoring image signal of the monitoring target 1 is fetched and the image is compared with a normal pattern. The presence or absence of abnormality of the monitoring target 1 is determined based on the comparison result. The determination result and the monitor image signal are sent to the multimedia alarm device 9, displayed on the display device 10, and the abnormality is output from the voice device 11 as a voice message. In addition, the monitor system 200 is provided via the communication device 12.
The monitor image signal and the result of the presence / absence determination of abnormality are sent to the display device 16, and the monitor image is displayed on the display device 16. The voice device 17 outputs a voice message indicating that there is an abnormality. Further, the time information at this time, the monitoring image, and the like are recorded in the recording device 19.
【0014】本実施例における異常の有無判定方法につ
いて説明する。異常物体、例えば、泥棒がいない状態で
の監視対象物1の撮像画面をM回、周期T1で取り込
む。CPU8は同一画素についての画像信号のレベル値
の平均を計算し、平均値で構成される1画面分の画像を
正常パターン(本発明の正常静止画像)としてメモリ7
内に保存しておく。A method of determining the presence / absence of an abnormality in this embodiment will be described. An imaging screen of the monitoring target object 1 in the absence of an abnormal object, for example, a thief is captured M times in a cycle T1. The CPU 8 calculates the average of the level values of the image signal for the same pixel, and the image of one screen constituted by the average value is set as the normal pattern (normal still image of the present invention) in the memory 7
Save it inside.
【0015】監視時には周期T2で監視画像を取り込
む。CPU8は同一画素について監視画像のレベル値と
正常パターンのレベル値との差の合計を計算する。な
お、この計算において正常パターンの全画素のレベル値
を合計しこの合計と、監視画像の全画素のレベル値の合
計との差を計算しても同じ差分値が得られる。監視画像
の中に異常物体が混入すると正常パターンとは異なる画
像信号分布となる。この結果、上述の差分値が許容範囲
を越えるので、双方の画像は一致せず異常を検出でき
る。以上の監視装置100側のCPU8の処理手順を参
考のために図2に示した。At the time of monitoring, a monitoring image is captured at a cycle T2. The CPU 8 calculates the total difference between the level value of the monitor image and the level value of the normal pattern for the same pixel. In this calculation, the same difference value can be obtained by summing the level values of all the pixels of the normal pattern and calculating the difference between this sum and the sum of the level values of all the pixels of the monitoring image. When an abnormal object is mixed in the monitoring image, the image signal distribution becomes different from the normal pattern. As a result, since the above-mentioned difference value exceeds the allowable range, both images do not match and an abnormality can be detected. The processing procedure of the CPU 8 on the monitoring apparatus 100 side is shown in FIG. 2 for reference.
【0016】本実施例の他に次の例を実施できる。In addition to this embodiment, the following example can be implemented.
【0017】1)異常の検出精度をさらに高めたいとき
には次のような処理を施すとよい。1) When it is desired to further improve the accuracy of detecting an abnormality, the following processing may be performed.
【0018】(a)正常パターンと監視画像の画素ごと
の差分値を計算し、その差分値が許容範囲を超える画素
数をCPU8により計数する。この計数結果が一定数を
超えたときに異常発生と判断する。(A) A difference value for each pixel between the normal pattern and the monitor image is calculated, and the CPU 8 counts the number of pixels for which the difference value exceeds the allowable range. When the count result exceeds a certain number, it is determined that an abnormality has occurred.
【0019】(b)24時間の監視を行う場合には、正
常な状態での監視画像でも照明や環境の変化により輝度
の変化が現れる。そこで、CPU8により時刻を計時
し、時刻に応じて正常パターンおよび監視画像のいずれ
か一方の画像信号レベル値(合計値でもよい)に対して
時刻に対応させた補正をかける。具体的には時刻に対応
させた補正係数のテーブルを用意し、このテーブルを参
照して適切な係数を取得し、係数を画像信号のレベル値
に乗ずる。このような処理を行うことにより日照変化、
照明変化、電源変動に対応することができる。また、1
時間ごとに監視対象を撮影し、その撮影静止画像を正常
パターンとして用いることもできる。この場合には監視
時刻に対応させて正常パターンを使い分けることにな
る。(B) When monitoring for 24 hours, a change in brightness appears due to changes in illumination and environment even in a monitor image in a normal state. Therefore, the CPU 8 measures the time, and corrects the image signal level value (may be the total value) of either the normal pattern or the monitor image in accordance with the time. Specifically, a table of correction coefficients corresponding to time is prepared, an appropriate coefficient is acquired by referring to this table, and the coefficient is multiplied by the level value of the image signal. By performing such processing, sunshine change,
It can respond to changes in lighting and power supply fluctuations. Also, 1
It is also possible to take a photograph of the monitoring target every time and use the photographed still image as a normal pattern. In this case, the normal pattern is properly used according to the monitoring time.
【0020】(c)撮影画像の中の特に注目したい場
所、例えば、盗難防止目的のためには、玄関の扉、金庫
等の特定場所の領域のみの画像を異常の有無の判定対象
とすることができる。この場合にCPU8にポインティ
ングデバイスを接続し、表示装置10に表示された画像
の特定領域ををポインティングデバイスにより可変設定
するとよい。(C) In a photographed image, a place of particular interest, for example, for the purpose of theft prevention, an image of only a specific region such as a front door, a safe, etc. is set as an object of determination of abnormality. You can In this case, a pointing device may be connected to the CPU 8 and a specific area of the image displayed on the display device 10 may be variably set by the pointing device.
【0021】また、この特定場所とそれ以外の場所とで
異常の検出精度に差をつけてもよい。Further, the detection accuracy of the abnormality may be made different between this specific place and other places.
【0022】2)モニタシステム200において、長時
間、監視画像を記録する場合には、監視装置100側で
監視画像をデータ圧縮してモニタシステム200に送信
するとよい。2) When the monitor image is recorded in the monitor system 200 for a long time, the monitor device 100 may compress the monitor image data and send it to the monitor system 200.
【0023】3)撮影手段としては本実施例では光電変
換するテレビカメラを使用したが、赤外線テレビカメラ
を使用して監視対象の温度変化で異常を検出することも
できる。3) As the photographing means, a TV camera for photoelectric conversion is used in this embodiment, but an infrared TV camera may be used to detect an abnormality by the temperature change of the monitored object.
【0024】4)異常の発生パターンに対応させて異常
の種類メッセージを音声出力することができる。例え
ば、施設が破壊、破損した場合には、ある時点で撮影画
像の異常が検出された後、異常発生場所(輝度変化が生
じた画素位置)はその後の撮影画像においても異常発生
場所が変化しない。泥棒のような移動物体では異常発生
箇所位置が変化する。そこで異常が初めて検出された場
合には、CPU8によりその検出画素位置をメモリ7に
記憶しておき、次回の異常検出位置と比較する。一致が
見られた場合には監視対象の破損、不一致が見られた場
合には不審人物と異常内容を識別する事ができる。4) The abnormality type message can be output by voice corresponding to the abnormality occurrence pattern. For example, when the facility is destroyed or damaged, after the abnormality of the captured image is detected at a certain point, the location of the abnormality (the pixel position where the brightness change occurs) does not change in the subsequent captured images. . In a moving object such as a thief, the location of the abnormal place changes. Therefore, when an abnormality is detected for the first time, the detected pixel position is stored in the memory 7 by the CPU 8 and compared with the next abnormality detection position. If a match is found, the monitored object is damaged, and if a mismatch is found, the suspicious person and the abnormal content can be identified.
【0025】[0025]
【発明の効果】以上、説明したように、請求項1の発明
によれば、静止画像の比較という簡単な処理で、被写体
の異常を自動的に検出でき、盗難防止目的や、施設の監
視目的に本発明を実施することができる。As described above, according to the invention of claim 1, the abnormality of the object can be automatically detected by the simple process of comparing the still images, the purpose of preventing theft and the purpose of monitoring the facility. The present invention can be carried out.
【0026】請求項2の発明では静止画像の比較にカメ
ラの出力信号のレベル値を用いるので、比較処理がより
簡単で、処理時間も短い。According to the second aspect of the present invention, since the level value of the output signal of the camera is used for comparison of still images, the comparison process is simpler and the processing time is shorter.
【0027】請求項3の発明では、撮影環境の変化に対
して補正を行うので、異常検出精度が高まる。According to the third aspect of the invention, since the correction is made for the change of the photographing environment, the abnormality detection accuracy is improved.
【0028】請求項4の発明では、監視の結果得られる
画像を圧縮して転送するので、モニタシステムではリア
ルタイムで画像を表示でき、長時間の記録が可能とな
る。According to the invention of claim 4, the image obtained as a result of the monitoring is compressed and transferred, so that the monitor system can display the image in real time and can record for a long time.
【0029】請求項5の発明は、夜間の監視に好適であ
り、特に照明設備が不要となる。The invention of claim 5 is suitable for nighttime monitoring, and in particular, lighting equipment is unnecessary.
【図1】本発明を適用した監視システムの構成を示すブ
ロック図である。FIG. 1 is a block diagram showing a configuration of a monitoring system to which the present invention is applied.
【図2】本発明実施例の動作手順を示すフローチャート
である。FIG. 2 is a flowchart showing an operation procedure of the embodiment of the present invention.
1 監視対象 2 異常人物 3 照明器 4 テレビカメラ 5 増幅器 6 A/D 7 メモリ 8 CPU 9 マルチメディア警報装置 10、16 表示装置 11、17 音声装置 12、14 通信装置 13 ネットワーク 100 監視装置 200 モニタシステム 1 Monitoring Target 2 Abnormal Person 3 Illuminator 4 Television Camera 5 Amplifier 6 A / D 7 Memory 8 CPU 9 Multimedia Alarm Device 10, 16 Display Device 11, 17 Audio Device 12, 14 Communication Device 13 Network 100 Monitoring Device 200 Monitoring System
───────────────────────────────────────────────────── フロントページの続き (51)Int.Cl.6 識別記号 庁内整理番号 FI 技術表示箇所 G08B 25/00 510 9061−5H G06F 15/70 455B ─────────────────────────────────────────────────── ─── Continuation of the front page (51) Int.Cl. 6 Identification code Internal reference number FI technical display location G08B 25/00 510 9061-5H G06F 15/70 455B
Claims (5)
カメラにより監視対象が正常な状態での正常静止画像を
取得し、 前記カメラにより前記監視対象を撮影して一定周期ごと
にその撮影静止画像を取得し、 前記監視装置では前記正常静止画像を記憶しておき、 前記撮影静止画像と前記正常静止画像とを比較し不一致
の比較結果が得られたときには異常の警告を行うことを
特徴とする異常監視装置の異常検出方法。1. A normal still image in which a monitoring target is in a normal state is acquired by a camera which converts an image of a subject into an electric signal and is output, the monitoring target is photographed by the camera, and the captured still image is taken at regular intervals. The monitoring device stores the normal still image, compares the captured still image with the normal still image, and warns of an abnormality when a mismatched comparison result is obtained. Anomaly detection method for anomaly monitoring device.
る電気信号のレベル値を前記撮影静止画像および前記正
常静止画像の比較に使用することを特徴とする請求項1
に記載の異常監視装置の異常検出方法。2. The monitoring device uses the level value of an electric signal output from the camera for comparison between the photographed still image and the normal still image.
An abnormality detection method for an abnormality monitoring device as described in.
な変化に対して前記撮影静止画像および前記正常静止画
像のいずれか一方を補正することを特徴とする請求項1
に記載の異常監視装置の異常検出方法。3. The one of the photographed still image and the normal still image is corrected for a time-series change in a normal state of the monitoring target.
An abnormality detection method for an abnormality monitoring device as described in.
前記撮影静止画像を受信するモニタシステムが接続さ
れ、該監視装置では一定周期で取得される撮影静止画像
を圧縮して前記モニタシステムに送信し、該モニタシス
テムでは当該圧縮された撮影静止画像を記録することを
特徴とする請求項1に記載の異常監視装置の異常検出方
法。4. The monitor device is connected to a monitor system for receiving the warning of the abnormality and the photographed still image, and the monitor device compresses the photographed still image acquired in a constant cycle and transmits the compressed still image to the monitor system. The abnormality detection method of the abnormality monitoring device according to claim 1, wherein the monitor system records the compressed still image.
ことを特徴とする請求項1に記載の異常監視装置の異常
検出方法。5. The abnormality detecting method for an abnormality monitoring device according to claim 1, wherein an infrared camera is used as the camera.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP7207999A JPH0955932A (en) | 1995-08-15 | 1995-08-15 | Abnormality monitoring device abnormality detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP7207999A JPH0955932A (en) | 1995-08-15 | 1995-08-15 | Abnormality monitoring device abnormality detection method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPH0955932A true JPH0955932A (en) | 1997-02-25 |
Family
ID=16549005
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP7207999A Pending JPH0955932A (en) | 1995-08-15 | 1995-08-15 | Abnormality monitoring device abnormality detection method |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPH0955932A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1116059A (en) * | 1997-06-20 | 1999-01-22 | Mitsubishi Electric Corp | Surveillance image recording and playback device |
| JP2001218191A (en) * | 2000-06-05 | 2001-08-10 | Sankyo Kk | Monitor device in game center |
| JP2006065584A (en) * | 2004-08-26 | 2006-03-09 | Matsushita Electric Works Ltd | Abnormality detection apparatus |
| US7903269B2 (en) * | 2004-06-21 | 2011-03-08 | Ricoh Company, Ltd. | Abnormality determining apparatus, image forming apparatus including the abnormality determining apparatus, and abnormality determining method |
| JP2013143580A (en) * | 2012-01-06 | 2013-07-22 | Secom Co Ltd | Image monitoring device |
| CN107331096A (en) * | 2017-06-26 | 2017-11-07 | 国网山东省电力公司蓬莱市供电公司 | A kind of safety and protection system for electricity customer service center |
| JP2019206318A (en) * | 2018-05-30 | 2019-12-05 | 日本信号株式会社 | Monitoring device |
| CN111275911A (en) * | 2020-01-16 | 2020-06-12 | 珠海格力电器股份有限公司 | A danger prompting method, device and computer-readable storage medium |
| CN111915848A (en) * | 2020-08-18 | 2020-11-10 | 成都森川科技股份有限公司 | Flood control and disaster reduction monitoring and alarming device for railway engineering |
| CN112164195A (en) * | 2020-09-25 | 2021-01-01 | 中科蓝卓(北京)信息科技有限公司 | Energy-saving wireless monitoring and alarming device, system and monitoring and alarming method along railway lines |
| CN112562270A (en) * | 2020-12-10 | 2021-03-26 | 兰州交通大学 | Railway geological disaster monitoring and early warning method based on 5G communication |
-
1995
- 1995-08-15 JP JP7207999A patent/JPH0955932A/en active Pending
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1116059A (en) * | 1997-06-20 | 1999-01-22 | Mitsubishi Electric Corp | Surveillance image recording and playback device |
| JP2001218191A (en) * | 2000-06-05 | 2001-08-10 | Sankyo Kk | Monitor device in game center |
| US7903269B2 (en) * | 2004-06-21 | 2011-03-08 | Ricoh Company, Ltd. | Abnormality determining apparatus, image forming apparatus including the abnormality determining apparatus, and abnormality determining method |
| JP2006065584A (en) * | 2004-08-26 | 2006-03-09 | Matsushita Electric Works Ltd | Abnormality detection apparatus |
| JP2013143580A (en) * | 2012-01-06 | 2013-07-22 | Secom Co Ltd | Image monitoring device |
| CN107331096A (en) * | 2017-06-26 | 2017-11-07 | 国网山东省电力公司蓬莱市供电公司 | A kind of safety and protection system for electricity customer service center |
| JP2019206318A (en) * | 2018-05-30 | 2019-12-05 | 日本信号株式会社 | Monitoring device |
| CN111275911A (en) * | 2020-01-16 | 2020-06-12 | 珠海格力电器股份有限公司 | A danger prompting method, device and computer-readable storage medium |
| CN111275911B (en) * | 2020-01-16 | 2021-02-26 | 珠海格力电器股份有限公司 | Danger prompting method, equipment and computer readable storage medium |
| CN111915848A (en) * | 2020-08-18 | 2020-11-10 | 成都森川科技股份有限公司 | Flood control and disaster reduction monitoring and alarming device for railway engineering |
| CN112164195A (en) * | 2020-09-25 | 2021-01-01 | 中科蓝卓(北京)信息科技有限公司 | Energy-saving wireless monitoring and alarming device, system and monitoring and alarming method along railway lines |
| CN112562270A (en) * | 2020-12-10 | 2021-03-26 | 兰州交通大学 | Railway geological disaster monitoring and early warning method based on 5G communication |
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