JP2010262422A - Infrared abnormality detection device - Google Patents
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Abstract
Description
本発明は、赤外線を利用した検知装置に関し、必要最低限システムにおいて低価格な装置にて確実に異常を検知することができる赤外線異常検知装置に関する。 The present invention relates to a detection device that uses infrared rays, and relates to an infrared abnormality detection device that can reliably detect an abnormality with a low-cost device in a minimum necessary system.
従来の赤外線を利用した浸入者等の異常を検知する異常検知装置として例えば焦電型赤外線センサを利用し、監視領域に異常が発生した場合、発生する熱変化を焦電型赤外線センサにより検知する異常検知装置が市場で広く使用されている。 For example, a pyroelectric infrared sensor is used as an abnormality detection device for detecting an abnormality of an intruder or the like using conventional infrared rays, and when an abnormality occurs in the monitoring area, the generated thermal change is detected by the pyroelectric infrared sensor. Anomaly detection devices are widely used in the market.
より信頼性を上げる目的で、特開2000−76521号公報に公開されているように焦電型赤外センサと光学式カメラを併用し異常検知装置として焦電型赤外線センサで赤外線を放出する人間等の侵入者等の異常を検知したときに可視カメラを動作させ、録画する異常検知装置が知られている。 For the purpose of increasing the reliability, as disclosed in Japanese Patent Application Laid-Open No. 2000-76521, a human who emits infrared rays with a pyroelectric infrared sensor as an abnormality detection device using a pyroelectric infrared sensor and an optical camera in combination. 2. Description of the Related Art An anomaly detection device is known that records a video by operating a visible camera when an anomaly such as an intruder is detected.
さらに、特開平10−336630号公報に公開されている様な赤外線カメラを用いて監視領域の熱画像を監視する異常検知装置も知られている。
また、特開平7−37064号公報に開示されているように、監視カメラより時間差をおいて入力した2枚の画像の差を演算処理しその差画像を画像処理することによって異常を判断する異常検知装置がある。
Further, there is also known an abnormality detection device that monitors a thermal image in a monitoring area using an infrared camera as disclosed in JP-A-10-336630.
Further, as disclosed in Japanese Patent Laid-Open No. 7-37064, an abnormality in which an abnormality is determined by calculating a difference between two images input with a time difference from a surveillance camera and performing image processing on the difference image. There is a detection device.
従来の技術いずれをとっても、可視であろうが赤外であろうが、カメラからの画像データをリアルタイムで複雑な演算処理を行う必要がありカメラ1台に対し別途専用の高機能で高速な演算処理装置を必要とし非常に高価な装置となってしまっていた。また、広い範囲を監視するためには多くの装置を設置した監視システムを構築する必要がありよりコストがかかってしまう問題があった。 Regardless of whether it is visible or infrared, using any conventional technology, it is necessary to perform complex arithmetic processing on the image data from the camera in real time. A processing device was required and the device was very expensive. In addition, in order to monitor a wide range, there is a problem that it is necessary to construct a monitoring system in which many devices are installed, which is more costly.
本発明は、上記のような問題点を解消するためになされたものであり、本装置自身が単純な引き算処理のみで複雑な演算処理装置を必要とせず、低価格で信頼性の高い監視を行うことができる赤外線異常検知装置を提供することを目的とする。 The present invention has been made to solve the above-described problems, and the apparatus itself does not need a complicated arithmetic processing apparatus only by a simple subtraction process, and can perform low-cost and highly reliable monitoring. An object of the present invention is to provide an infrared abnormality detection device that can be used.
請求項1の発明に係わる異常検知装置は、2次元に配置された多素子の赤外線検出素子アレイを持ち、異常と判断していない間、ある間隔で更新される各素子から読み出した赤外線出力を背景データとして記憶しておく記憶装置と、随時出力される赤外線検知アレイからの出力からメモリに記憶した背景データの引き算をする演算装置を持ち、引き算をした結果を差分データとして出力し、引き算をした結果が設定された閾値を超えたとき異常と検知し、異常信号を発生するものである。 The abnormality detection device according to the invention of claim 1 has a multi-element infrared detection element array arranged two-dimensionally, and outputs infrared output read from each element updated at a certain interval while it is not judged as abnormal. It has a storage device that stores it as background data, and an arithmetic device that subtracts the background data stored in the memory from the output from the infrared detection array that is output as needed, and outputs the result of the subtraction as difference data for subtraction. When the result exceeds the set threshold, an abnormality is detected and an abnormality signal is generated.
請求項2の発明にかかわる赤外線異常検知装置において、背景データ更新のために赤外線検知アレイの出力を読み込む間隔は、異常を検知する対象物によって可変できるものである。 In the infrared abnormality detection apparatus according to the invention of claim 2, the interval at which the output of the infrared detection array is read for updating the background data can be varied depending on the object for detecting the abnormality.
請求項3の発明に係わる赤外線異常検知装置において、異常検知時、センサ素子全面をシャッターでマスクし、背景データとして記憶、その後シャッターをオープンにし、赤外線センサ素子の出力を随時読み込んでいく赤外線検知素子アレイの出力から背景データを引き算し、異常時の赤外線画像を得ることができるものである。 In the infrared abnormality detection apparatus according to the invention of claim 3, when an abnormality is detected, the entire surface of the sensor element is masked with a shutter, stored as background data, and then the shutter is opened, and the output of the infrared sensor element is read at any time. By subtracting background data from the output of the array, an infrared image at the time of abnormality can be obtained.
請求項1の発明によれば、異常と判断されていない時の背景データを記憶し、随時読み込む赤外線出力から引き算をするため、監視エリア内で発生する赤外線に変化がない場合、差分出力データは0しか出力されない。しかし、監視エリア内に人体等の赤外線を発する者が浸入した場合、または、監視エリア内で火災等が発生した場合、赤外線信号に大きな差分が発生し、その差分データが出力され、その差が閾値を超えた場合異常と検知し異常検知信号を出力するため、赤外線検知素子アレイと簡単な演算処理装置のみで低価格な異常検知装置を構成することができる。 According to the first aspect of the present invention, since the background data when it is not determined to be abnormal is stored and subtracted from the infrared output that is read as needed, if there is no change in the infrared rays generated in the monitoring area, the differential output data is Only 0 is output. However, when a person who emits infrared rays such as a human body enters the monitoring area, or when a fire or the like occurs in the monitoring area, a large difference occurs in the infrared signal, and the difference data is output. When the threshold value is exceeded, an abnormality is detected and an abnormality detection signal is output, so that an inexpensive abnormality detection device can be configured with only an infrared detection element array and a simple arithmetic processing device.
請求項2の発明によれば、正常時、随時背景データとして読み込むタイミングは検知する対象物、背景の条件によって、たとえば、緩やかな温度変化異常を検知する場合は間隔を長くすることにより失報を、浸入者などの異常を検知する場合は間隔を短くすることによって、背景温度の緩やかな変化による誤報を防ぐことができる。 According to the invention of claim 2, the timing of reading as background data at any time in the normal state depends on the object to be detected and the conditions of the background, for example, when detecting a gradual temperature change abnormality, the error is reported by increasing the interval. When detecting an abnormality such as an intruder, the false interval due to a gradual change in the background temperature can be prevented by shortening the interval.
請求項3の発明によれば、異常を検知したときシャッターを閉じ、背景データとして赤外線検知素子アレイからの出力データを読み込み、シャッターオープン後の赤外線検知素子アレイからの出力データから引き算をおこなえば、シャッター面の温度分布は一定で温度差は無いため、引き算した値は監視エリア内の温度の差を表す背景画像も含めた詳細赤外線画像となる。その画像データの画像処理を行うことにより、より信頼性の高いシステムを構築することが可能となる。 According to the invention of claim 3, when the abnormality is detected, the shutter is closed, the output data from the infrared detection element array is read as background data, and the subtraction is performed from the output data from the infrared detection element array after the shutter is opened. Since the temperature distribution on the shutter surface is constant and there is no temperature difference, the subtracted value is a detailed infrared image including a background image representing the temperature difference in the monitoring area. By performing image processing on the image data, a more reliable system can be constructed.
実施の形態1、以下、本発明の実施の形態1を図に基づいて説明する。図1は本発明の実施の形態に係わる赤外線異常検知装置の構成図である。図1において、赤外線を検出する2次元の赤外線検出素子アレイ10、赤外線検出素子アレイ10から読み込んだ背景データを記憶するメモリ11、随時読み込んだ赤外線検出素子アレイからの出力から記憶した値を引き算し閾値を超えているかどうか判断する演算処理部12と、その結果、設定された閾値を超えた場合異常検知信号を出力する異常検知出力部分13、背景データとの差分データ出力部14、赤外線検出素子アレイ10の全面をマスクするシャッター及びコントロール部15を持つ赤外線異常検知装置である。 Embodiment 1 Hereinafter, Embodiment 1 of the present invention will be described with reference to the drawings. FIG. 1 is a configuration diagram of an infrared abnormality detection apparatus according to an embodiment of the present invention. In FIG. 1, a two-dimensional infrared detection element array 10 for detecting infrared rays, a memory 11 for storing background data read from the infrared detection element array 10, and a value stored from the output from the infrared detection element array read at any time are subtracted. An arithmetic processing unit 12 for determining whether or not the threshold value is exceeded, and as a result, an abnormality detection output unit 13 for outputting an abnormality detection signal when the set threshold value is exceeded, a difference data output unit 14 for background data, an infrared detection element The infrared anomaly detection apparatus has a shutter and a control unit 15 for masking the entire surface of the array 10.
次に、本発明の赤外線異常検知装置の実施形態を説明する。まず、本発明の赤外線異常検知装置に異常監視命令が入力されると、背景データとして赤外線検知素子アレイ10からの各出力を読み込みメモリ11に記憶する。次に、随時読み込まれていく赤外線検知素子アレイ10の各出力から各赤外線素子アレイに対応する記憶したデータを演算処理部12で引き算し、差分データを画像出力部14より出力する。異常監視命令が入力された直後であれば、引き算した結果は0となり、画像出力部14から出力される差分データも0となる。図2はこの差分データを画像化したものであるが差分が0であるため何も表示されない。その後、監視エリア内で人体等の侵入者、火災等で発生する赤外線に変化があれば、赤外線検知素子アレイ内の人体、火災を検知した部分の引き算した結果は0とはならないで差分が発生する。この差分が演算処理部12に設定されている閾値を超えた場合異常と判断して異常検知出力部13は異常信号を出力すると同時に、差分データ出力部出力部14より差分データが出力される。図3はこのときの差分データを画像化したものであるが、検知した人体のみが差分として表示される。 Next, an embodiment of the infrared abnormality detection device of the present invention will be described. First, when an abnormality monitoring command is input to the infrared abnormality detection device of the present invention, each output from the infrared detection element array 10 is read and stored in the memory 11 as background data. Next, the stored data corresponding to each infrared element array is subtracted from each output of the infrared detection element array 10 read as needed, and the difference data is output from the image output unit 14. If it is immediately after the abnormality monitoring command is input, the subtraction result is 0, and the difference data output from the image output unit 14 is also 0. FIG. 2 is an image of the difference data, but nothing is displayed because the difference is zero. After that, if there is a change in the infrared rays generated by intruders, fires, etc. in the monitoring area, the subtraction result of the human body in the infrared detection element array and the part where the fire was detected does not become zero and a difference occurs. To do. When this difference exceeds the threshold set in the arithmetic processing unit 12, it is determined that there is an abnormality, and the abnormality detection output unit 13 outputs an abnormality signal, and at the same time, the difference data output unit output unit 14 outputs difference data. FIG. 3 is an image of the difference data at this time, but only the detected human body is displayed as the difference.
しかし、監視命令が入力されてから時間がたつと、監視エリア内の温度変化、赤外線検知素子アレイ10の温度ドリフトにより、異常ではなくても最初取り込みメモリ12に記憶する背景データと随時得られる赤外線検知素子アレイ10の各出力データに差が発生し、演算処理部12で引き算した結果は0にならなくなる。背景温度の変化により発生した差が閾値を超えてしまうと誤検知となる為、差が閾値を超えることがなく異常と判断していない間にメモリ11に記憶する背景データを随時更新してやる必要があり、この時の更新間隔は検知対象によって決定される。例えば浸入者を異常として検知する場合、更新間隔は数秒以内とすることで、この間で背景温度が環境変化により変化してもごくわずかであり、わずかな背景温度の変化内で更新することが出来、結果、誤検知を起こすことはない。また、火災等の異常を検知する場合、少しずつ温度が上昇していく場合も想定され更新間隔を数分以上とする必要があり、環境温度変化と時間的に重なってしまう。しかし、対象赤外線エネルギーが環境温度では数十度の範囲に対し、火災等では数百度となる為、閾値の幅を大きく設定することができ、環境温度変化での差分の発生では閾値を超えることはない。 However, as time passes after the monitoring command is input, the background data initially stored in the memory 12 and the infrared ray obtained at any time, even if not abnormal, due to the temperature change in the monitoring area and the temperature drift of the infrared detection element array 10. A difference occurs in each output data of the sensing element array 10, and the result of subtraction by the arithmetic processing unit 12 does not become zero. If the difference caused by the change in the background temperature exceeds the threshold value, false detection is performed. Therefore, it is necessary to update the background data stored in the memory 11 at any time while the difference does not exceed the threshold value and is not determined to be abnormal. Yes, the update interval at this time is determined by the detection target. For example, when an intruder is detected as abnormal, the update interval should be within a few seconds, so even if the background temperature changes during this period due to environmental changes, it can be updated within a slight change in background temperature. As a result, there is no false detection. In addition, when detecting an abnormality such as a fire, it is assumed that the temperature gradually increases, and it is necessary to set the update interval to several minutes or more, which overlaps with the environmental temperature change in time. However, since the target infrared energy is in the range of several tens of degrees at the environmental temperature and several hundred degrees in the case of fire, the threshold range can be set large. There is no.
以上、本発明の赤外線異常検知装置であれば、単体でも監視可能であり、赤外線異常検知装置数十台と異常検知時赤外線異常検知装置から出力される赤外線画像データを読み込み画像処理、高度な判定を行うことが出来る演算処理装置1台とネットワークを組むことにより、安価でより信頼性の高い監視システムを構築することが可能となる。 As described above, the infrared abnormality detection device of the present invention can be monitored by itself, and dozens of infrared abnormality detection devices and infrared image data output from the infrared abnormality detection device at the time of abnormality detection, image processing, advanced determination By constructing a network with one arithmetic processing unit capable of performing the above, it becomes possible to construct a cheaper and more reliable monitoring system.
10 赤外線検知素子アレイ
11 記憶メモリ
12 演算処理部
13 検知信号出力部
14 差分データ出力部
15 シャッター及びコントロール部
DESCRIPTION OF SYMBOLS 10 Infrared detector element array 11 Memory | storage memory 12 Operation processing part 13 Detection signal output part 14 Differential data output part 15 Shutter and control part
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| JP2012173186A (en) * | 2011-02-23 | 2012-09-10 | Seiko Epson Corp | Pyroelectric type detector, pyroelectric type detection device, and electronic apparatus |
| WO2018012050A1 (en) * | 2016-07-14 | 2018-01-18 | ソニー株式会社 | Image processing device and image processing method |
| JP2020519847A (en) * | 2017-04-11 | 2020-07-02 | ハンソン エスティー(セキュリティー テクノロジー)インコーポレイテッド | Intelligent spark detection device and method using infrared thermal image |
| JP2022074728A (en) * | 2020-11-05 | 2022-05-18 | 株式会社日立製作所 | Temperature measurement device and temperature measurement method |
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| JP2008224528A (en) * | 2007-03-14 | 2008-09-25 | Yamagata Chinoo:Kk | Human body detection device |
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| JP2008224528A (en) * | 2007-03-14 | 2008-09-25 | Yamagata Chinoo:Kk | Human body detection device |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012173186A (en) * | 2011-02-23 | 2012-09-10 | Seiko Epson Corp | Pyroelectric type detector, pyroelectric type detection device, and electronic apparatus |
| WO2018012050A1 (en) * | 2016-07-14 | 2018-01-18 | ソニー株式会社 | Image processing device and image processing method |
| JPWO2018012050A1 (en) * | 2016-07-14 | 2019-05-16 | ソニー株式会社 | Image processing apparatus and image processing method |
| EP3486869A4 (en) * | 2016-07-14 | 2019-05-29 | Sony Corporation | IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD |
| US10868978B2 (en) | 2016-07-14 | 2020-12-15 | Sony Corporation | Image processing device and image processing method |
| JP2020519847A (en) * | 2017-04-11 | 2020-07-02 | ハンソン エスティー(セキュリティー テクノロジー)インコーポレイテッド | Intelligent spark detection device and method using infrared thermal image |
| JP7211622B2 (en) | 2017-04-11 | 2023-01-24 | ハンソン エスティー(セキュリティー テクノロジー)インコーポレイテッド | Intelligent spark detection device and method using infrared thermal image |
| JP2022074728A (en) * | 2020-11-05 | 2022-05-18 | 株式会社日立製作所 | Temperature measurement device and temperature measurement method |
| JP7507063B2 (en) | 2020-11-05 | 2024-06-27 | 株式会社日立製作所 | Temperature measuring device and temperature measuring method |
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Free format text: JAPANESE INTERMEDIATE CODE: A02 Effective date: 20130917 |